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Repository: davidswelt/zot_bib_web
Branch: master
Commit: 8591a7c1dcef
Files: 25
Total size: 3.2 MB
Directory structure:
gitextract_fimm7l1u/
├── .gitignore
├── ChangeLog.md
├── README.rst
├── demo/
│ ├── example1.html
│ ├── example2.html
│ ├── example3.html
│ ├── example4.html
│ ├── settings1.py
│ ├── settings2.py
│ ├── settings3.py
│ ├── settings4.py
│ ├── style1.css
│ ├── style2.css
│ ├── style3.css
│ └── style4.css
├── make-demo.sh
├── make-doc/
│ ├── Makefile
│ ├── conf.py
│ ├── index.rst
│ └── requirements.txt
├── push.py
├── settings_example.py
├── site/
│ └── style.css
├── texconv.py
└── zot.py
================================================
FILE CONTENTS
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FILE: .gitignore
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files/*
zot.build
.idea
*.pyc
*~
.cache
_build
__pycache__
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FILE: ChangeLog.md
================================================
Changes to Zot_bib_web
https://github.com/davidswelt/zot_bib_web
Author/Contact:
Dr. David Reitter, College of Information Sciences & Technology,
Penn State
reitter@psu.edu
zot_bib_web 2.1.0
-----------------------------------------
- Add --quiet and --verbose arguments and a `verbosity' configuration
variable. Output is now primarily made to stderr. Other improvements
to progress output.
- Links in bib entries are now clickable.
- Fix bugs in connection with empty author and title fields.
- Fix problems with Windows in connection with non-ASCII characters
- Various bugfixes.
-- David Reitter <reitter@psu.edu> 2018-01-04
zot_bib_web 2.0.4
-----------------------------------------
The program's configuration has been redesigned, and many more
options for displaying and sorting the interactive bibliography are available.
- Much simplified installation and setup. Improved documentation.
Settings files can now load multiple collections from different
libraries. Use user_collection(...) and group_collection(...)
statements. See settings_example.py for documentation.
Previous settings file are imported (with exception of the next item).
- Documentation is now available at http://zot-bib-web.readthedocs.io .
- You can sort the bibliographic items not just
by collection as in the Zotero library, but also by year or by
publication type (e.g., journal article, conference paper), and
arbitrary hierarchies thereof. "Selected works" or "in
review" papers can be extracted at the top. Even if ordering chronologically,
without showing thematic collections, the bibliography can be
filtered according to area with the collection shortcuts at the top.
- Shortcuts at the top of the generated webpage can filter by years,
collections, venues, publication type.
- Files (like PDF files) stored in the Zotero library can now be
written out and linked to.
- Additional settings have become available. See settings_example.py.
- Citations can be viewed in additional formats (see show_links
configuration variable). For example, we can show the full entry in
APA or MLA format (or any other style available).
- Files attached to entries in Zotero can now be saved for upload to
the server. (Requested by Selcuk Bilmis.) HTML archives are also
supported. Notes are supported in
a similar way, but are not functional until some bugs in PyZotero or
the Zotero API are fixed.
- Bibliographic entries can be numbered within their sections now.
See the number_bib_items variable.
- Added several worked examples with output in the demo folder.
Run make-demo.sh to re-generate them.
- Caching of Zotero retrieval makes repeated runs much faster.
- Tested with Pyzotero 1.2.11.
- Now compatible with Python 2.7 or Python 3.6.
Compatibility-breaking Changes:
- Catchallcollection is no longer available in program arguments or
the settings file. Specify a "catch-all collection" via the &
modifier directly in the name of the respective collection,
e.g. "9999& Miscellaneous" (9999 if sorting at the end is desired).
- Output file is not longer a positional argument to the program.
Use -o <outfile> instead. '-' is permissible for stdout.
- Items in top-level collection are no longer excluded
- Limit has been removed (replaced with caching)
CSS and HTML Changes:
- Search keywords are now prominently displayed when active
- full-bib-section and short-bib-section divs now contain their
respective section headings.
- Nested collections can be indented or otherwise styled using CSS
(new div.collection tags)
- Several new class and id attributes to allow for more styling.
- Buttons (e.g., Wikipedia, EndNote, BIB) have standard capitalization
now. Style using CSS.
Selected bug fixes:
- Fix problem with nested collections that did not show in the correct location
- Improved warning messages for double entries
zot_bib_web 1.2.2
-----------------------------------------
- Fix bug that prevented RIS downloads from showing
(and potentially other elements included in show_links depending on capitalization)
- Improved instructions in settings example file
- Tested with Pyzotero 1.2.0 and Python 2.7
zot_bib_web 1.2.0
-----------------------------------------
- A "show to clipboard" button is shown for bib and wikipedia code (configure with show_copy_button entry)
- COINS information is now included. This means Zotero's browser plugins will work with the generated bibliographies
- Wikipedia markup is included in the bibliography (configure with show_links setting)
- The shortened section (e.g., "Selected Works") now shows the journal or conference title (to hide, use CSS style sheet)
- Visitors can now select text for copy/paste without also copying the meaningless buttons (configure with smart_selections setting)
- Style and js files necessary on the webserver are now in the "site" directory
- toplevelfilter may be None now, in which case the entire library is used.
- Many improvements to the generated HTML and supplied stylesheets
- Better IE11 support
- Tested with pyzotero 1.1.21
-- David Reitter <reitter@psu.edu> 2017-01-28
================================================
FILE: README.rst
================================================
Interactive web bibliographies with Zotero
=========================================================
Example Installations
---------------------
`Lab website at Penn State <http://acs.ist.psu.edu/wp/pub/>`__
`Personal website <http://david-reitter.com/pub/>`__
Documentation
-------------
http://zot-bib-web.readthedocs.io/
Author/Contact:
-------------
David Reitter -- david.reitter@gmail.com
http://www.david-reitter.com
Features
--------
This tool generates interactive web bibliographies based on one or more
collections in a Zotero repository. Collections can be maintained by
groups of people, using Zotero's web
interface or their desktop applications.
Bibliographies can be ordered by collection, by publication year, or
by publication type (e.g., journal articles first), are interactively
searchable, can be linked to PDF documents or other URLs, have records
for BibTex, EndNote and Wikipedia, and can be exported to HTML or pushed
to a Wordpress database.
Zot\_bib\_web does not depend on any third-party web server. The
generated bibliographies load quickly because they are stored as static
files along with the rest of your website. This makes a good source
for webcrawlers, including Google Scholar and CiteSeer.
Setup is easy for anyone who runs their own website and knows how
to use a command line (shell).
The easiest way to use it is to call zot.py with the key of a public
Zotero collection. It will make a zotero-bib.html file. Copy this, along
with the "site" and "files" (if any) directory to your webserver.
Demo
----
- View the HTML files in the demo folder for some examples of
bibliographies. Their respective settings files and CSS style files
are included.
- Run::
./zot.py --settings demo/settings3.py
to see it in action.
License and Donations
---------------------
- Use and modify this software free of charge.
- No warranty is provided whatsoever.
- Please e-mail david.reitter@gmail.com a link to the bibliography on
your website if you decide to use zot\_bib\_web.
- You may use this software for free.
Requirements
------------
- Python 2.7 or 3.6+
- Pyzotero. To install Pyzotero, a library for python::
sudo pip install pyzotero
or::
sudo easy_install pyzotero
- A Zotero collection with your bibliography (as user or as group)
- Optional: dateutils package for Python (improves date parsing if present)
Setup
-----
- Ensure zot.py is executable (chmod ug+x zot.py)
- Try it out. From a unix-like command-line, do this::
./zot.py --group 160464 DTDTV2EP
Then view zotero-bib.html in a browser. If that looks good, move on to
the next steps for configuration.
- In a new file called settings.py, add configuration as documented in
the file settings\_example.py. Go to zotero.org to get your API
secret key and your user or library IDs. It's easy: see the top of
settings.example.py for details. If settings.py is set up, you can
call zot.py without arguments.
Alternatively, you can use give the primary settings in arguments to the
program.
Bibliography in Zotero
----------------------
- With Zotero, create a bibliography and note its ID (e.g., from the
URL in the Zotero web interface). Example: ``MGID90AT``. This ID is
what you need for the "toplevelfilter" variable in settings.py.
- You can add sub-collections to your bibliography.
- If you format ordered by collections, giving them an order may be
helpful. You can name collections starting with a number: "10 Social
Psychology".
Here's an example of a bibliography structure::
My Publications [MGID90AT]
10 Selected Works
15 In Preparation / Under Review
20 Refereed Works by Topic
Semantics
Parsing
Dialogue
Machine Learning
30 Theses
40 Talks (Without Paper)
To see this, use the provided settings.py as an example.
Overview of Configuration options
--------------------------------------
- Configuration takes place in a settings file, by default named
settings.py.
- Call ./zot.py --help to see a list of command-line options.
- Please refer to the documentation for information on the settings
file, or read settings\_example.py.
A few options are discussed in the following.
- You can order our bibliography by sub-collection, by year, or by
publication type (e.g., journal articles first, then conference
papers). Even within the higher-level categories you can sort your
bibliographic entries as you wish. Use the "sort\_criteria" and
"show\_top\_section\_headings" settings.
- You can choose a different formatting convention. Default is APA
format.
- At the top, a search box and a set of shortcuts may be displayed: for
example, several years or spans of years, publication types, or
subcollections that indicate topic areas. A visitor may click on
these to quickly filter the bibliography.
- Configure the shortcuts shown at the top using the show\_shortcuts
variable. 'collection', 'type', 'year', 'venue', 'venue\_short', and
'tags' are supported values, in addition to more fine-grained lists
of values you can create using the shortcut() function. You can give
the list of values or ranges (for years), their order, and some
filtering to only show the most common ones. See settings.example.py
for a detailed example.
- There are several more options. Again, see settings\_example.py.
Deployment to a web site
------------------------
- Upload the site folder or its contents to a public place on your web
server. By default, /site/... is the assumed URL.
To generate HTML and include it in a website:
- run zot.py once/on demand, or install as cron job or service on a
server Do not run it more than once a day. Configure it directly in
zot.py, or in a separate file settings.py to make upgrading simple.
- include the resulting file zotero-bib.html (or as configured) in your
website as you see fit. You may also include individual collection
files, which are also generated. You can configure zot.py to generate
a complete HTML document, or just a portion of it. Zot\_bib\_web
generates HTML5 content.
- Style your bibliography using CSS. An example style file is included
(see site/ directory).
Wordpress Support
-----------------
This package can push directly to a Wordpress site. A separate program
"push.py" is included to do this.
Follow these steps:
1. Set up zot.py to generate a bibliography you like. Call zot.py --full
to generate a complete zotero-bib.html file for debugging purposes.
Configure settings.py to not generate the full HTML code.
2. Install the wpautop-control plugin (or a similar plugin) to make sure
that WP will not insert paragraph breaks at various places in the
bibliography. With this plugin, you will need to add a "custom field"
to the page created in the next step (Choose "Screen Options" at the
top of the page view, enable custom fields. Then find custom fields
at the very bottom of the page and add a "wpautop" field with value
"no".
3. Create a WP page or a post for the bibliography. Insert
[zot\_bib\_web COLLECTION] where you'd like the bibliography
inserted. Replace COLLECTION with the ID of the collection. (More
options: see push.py)
4. Copy the style sheet contents (in site/) to your Wordpress theme
(select "editor", or "Additional CSS").
5. Configure settings.py so that jquery and other files are available on
the web server. Typically, this would be jquery\_path =
"../wp-includes/js/jquery/jquery.js" clipboard.js and clippy.svg: You
may refer to a public URL or serve the files yourself.
6. Configure push.py (at the top). You will need to know a few simple
details about your WP installation.
7. Run push.py regularly or on demand. It will call zot.py automatically
and then update the page in WP.
================================================
FILE: demo/example1.html
================================================
<!DOCTYPE html><html lang="en"><head><meta charset="UTF-8"><title>Bibliography</title><link rel="stylesheet" type="text/css" href="style1.css"><style type="text/css" id="zoterostylesheet" >
.bibshowhide {display:none;}
.bib-venue-short, .bib-venue {display:none;}.bib-venue-short::before, .bib-venue::before, .blink a::before {content: attr(data-before);}.blink {margin:0;margin-right:15px;padding:0;display:none;}</style></head><body><div class="bibliography"><script type="text/javascript" src="site/clipboard.min.js"></script><script type="text/javascript" src="site/jquery.min.js"></script><script type="text/javascript">jQuery(document).ready(function () {jQuery('.blink a').click(showThis);
jQuery("div.bib").add("div.cite").append('\n<button class="btn"><img src="site/clippy.svg" width=13 alt="Copy to clipboard"></button>');
new Clipboard('.btn',{
text: function(trigger) {
var prevCol = trigger.parentNode.style.color;
trigger.parentNode.style.color="grey";
setTimeout(function(){trigger.parentNode.style.color=prevCol;}, 200);
return trigger.parentNode.childNodes[0].textContent;}});
jQuery(".bib-venue-short").each(function(){$(this).attr('data-before', $(this).html()); $(this).html("")});
jQuery(".blink a").each(function(){$(this).attr('data-before', $(this).html()); $(this).html("")});
});
function dwnD(data) {
filename = "article.ris"
var pom = document.createElement('a');
var isSafari = navigator.vendor && navigator.vendor.indexOf('Apple') > -1 && navigator.userAgent && !navigator.userAgent.match('CriOS');
var mime = (isSafari?"text/plain":"application/x-research-info-systems");
pom.href = window.URL.createObjectURL(new Blob([atob(data)], {type: mime+";charset=utf-8"}));
pom.download = filename;
document.body.appendChild(pom);
pom.click();
setTimeout(function(){document.body.removeChild(pom);}, 100);
return(void(0));}
function showThis(e) {
elem = e.target;
if (elem.parentNode) {
var elems = elem.parentNode.parentNode.getElementsByTagName('*');
for (i in elems) {
if((' ' + elems[i].className + ' ').indexOf(' ' + 'bibshowhide' + ' ') > -1)
{ if (elems[i].parentNode != elem.parentNode)
elems[i].style.display = 'none';
}}
elems = elem.parentNode.getElementsByTagName('*');
for (i in elems) {
if((' ' + elems[i].className + ' ').indexOf(' ' + 'bibshowhide' + ' ') > -1)
{ elems[i].style.display = 'block';
hideagain = elems[i];
e.stopPropagation();
turnoff = function(e){
if (! jQuery.contains(this, e.target))
this.style.display = 'none';
else
jQuery(document).one("click",turnoff_b); // rebind itself
}
turnoff_b = turnoff.bind(elems[i])
jQuery(document).one("click",turnoff_b);
return(void(0));
}}}
return(void(0));}
function changeCSS() {
if (!document.styleSheets) return;
var theRules = new Array();
//ss = document.styleSheets[document.styleSheets.length-1];
var ss = document.getElementById('zoterostylesheet');
if (ss) {
ss = ss.sheet
if (ss.cssRules)
theRules = ss.cssRules
else if (ss.rules)
theRules = ss.rules
else return;
theRules[theRules.length-1].style.display = 'inline';
}
}
changeCSS();
</script><h1 class="title">Bibliography</h1>
<div id="bib-preamble" style="visibility:hidden;"><ul id="bib-cat-collection" class="bib-cat"><li class='link'><a style='white-space: nowrap;' href='#' onclick='searchF(["ZJFRZTCB"],"Selected Works",1);return false;'>Selected Works<span class='cat_count'> (15)</span></a></li>
<li class='link'><a style='white-space: nowrap;' href='#' onclick='searchF(["AWMEXUV2"],"In Review and To Appear",1);return false;'>In Review and To Appear<span class='cat_count'> (6)</span></a></li>
<li class='link'><a style='white-space: nowrap;' href='#' onclick='searchF(["BQUUP5PR"],"Language, Dialogue, Priming and Alignment",1);return false;'>Language, Dialogue, Priming and Alignment<span class='cat_count'> (19)</span></a></li>
<li class='link'><a style='white-space: nowrap;' href='#' onclick='searchF(["4JNMHMPK"],"Decision-Making and Cognitive Security",1);return false;'>Decision-Making and Cognitive Security<span class='cat_count'> (9)</span></a></li>
<li class='link'><a style='white-space: nowrap;' href='#' onclick='searchF(["D886I5TI"],"Artificial Intelligence",1);return false;'>Artificial Intelligence<span class='cat_count'> (2)</span></a></li>
<li class='link'><a style='white-space: nowrap;' href='#' onclick='searchF(["SHTFSZTC"],"Computational Social Science",1);return false;'>Computational Social Science<span class='cat_count'> (9)</span></a></li>
<li class='link'><a style='white-space: nowrap;' href='#' onclick='searchF(["3E52UEVV"],"General Cognitive Science",1);return false;'>General Cognitive Science<span class='cat_count'> (20)</span></a></li>
<li class='link'><a style='white-space: nowrap;' href='#' onclick='searchF(["F5GRSUCK"],"Other Topics",1);return false;'>Other Topics<span class='cat_count'> (6)</span></a></li>
<li class='link'><a style='white-space: nowrap;' href='#' onclick='searchF(["HZHSMP74"],"Theses",1);return false;'>Theses<span class='cat_count'> (3)</span></a></li>
<li class='link'><a style='white-space: nowrap;' href='#' onclick='searchF(["K567TKH3"],"Talks (Without Paper)",1);return false;'>Talks (Without Paper)<span class='cat_count'> (16)</span></a></li>
<li class='link'><a style='white-space: nowrap;' href='#' onclick='searchF(["J8F6R8R6"],"Software",1);return false;'>Software<span class='cat_count'> (8)</span></a></li>
</ul><ul id="bib-cat-type" class="bib-cat"><li class='link'><a style='white-space: nowrap;' href='#' onclick='searchF(["type__journalArticle"],"Journal Articles",1);return false;'>Journal Articles<span class='cat_count'> (15)</span></a></li>
<li class='link'><a style='white-space: nowrap;' href='#' onclick='searchF(["type__archivalConferencePaper"],"Archival Conference Publications",1);return false;'>Archival Conference Publications<span class='cat_count'> (17)</span></a></li>
<li class='link'><a style='white-space: nowrap;' href='#' onclick='searchF(["type__conferencePaper"],"Conference and Workshop Papers",1);return false;'>Conference and Workshop Papers<span class='cat_count'> (38)</span></a></li>
<li class='link'><a style='white-space: nowrap;' href='#' onclick='searchF(["type__bookSection"],"Book Chapters",1);return false;'>Book Chapters<span class='cat_count'> (2)</span></a></li>
<li class='link'><a style='white-space: nowrap;' href='#' onclick='searchF(["type__edited-volume"],"Edited Volumes",1);return false;'>Edited Volumes<span class='cat_count'> (12)</span></a></li>
<li class='link'><a style='white-space: nowrap;' href='#' onclick='searchF(["type__thesis"],"Theses",1);return false;'>Theses<span class='cat_count'> (3)</span></a></li>
<li class='link'><a style='white-space: nowrap;' href='#' onclick='searchF(["type__presentation"],"Talks",1);return false;'>Talks<span class='cat_count'> (18)</span></a></li>
<li class='link'><a style='white-space: nowrap;' href='#' onclick='searchF(["type__computerProgram"],"Computer Programs",1);return false;'>Computer Programs<span class='cat_count'> (8)</span></a></li>
</ul><ul id="bib-cat-year" class="bib-cat"><li class='link'><a style='white-space: nowrap;' href='#' onclick='searchF(["year__2017"],"2017",1);return false;'>2017<span class='cat_count'> (9)</span></a></li>
<li class='link'><a style='white-space: nowrap;' href='#' onclick='searchF(["year__2016"],"2016",1);return false;'>2016<span class='cat_count'> (12)</span></a></li>
<li class='link'><a style='white-space: nowrap;' href='#' onclick='searchF(["year__2015"],"2015",1);return false;'>2015<span class='cat_count'> (9)</span></a></li>
<li class='link'><a style='white-space: nowrap;' href='#' onclick='searchF(["year__2014"],"2014",1);return false;'>2014<span class='cat_count'> (11)</span></a></li>
<li class='link'><a style='white-space: nowrap;' href='#' onclick='searchF(["year__2013"],"2013",1);return false;'>2013<span class='cat_count'> (6)</span></a></li>
<li class='link'><a style='white-space: nowrap;' href='#' onclick='searchF(["year__2008","year__2009","year__2011","year__2010","year__2012"],"2008–2012",1);return false;'>2008–2012<span class='cat_count'> (31)</span></a></li>
<li class='link'><a style='white-space: nowrap;' href='#' onclick='searchF(["year__2008","year__2006","year__2007","year__2005"],"2005–2008",1);return false;'>2005–2008<span class='cat_count'> (17)</span></a></li>
<li class='link'><a style='white-space: nowrap;' href='#' onclick='searchF(["year__1993","year__1992","year__1994","year__1996","year__2002","year__2003","year__2001","year__2004"],"–2004",1);return false;'>–2004<span class='cat_count'> (15)</span></a></li>
</ul><form id="pubSearchBox" name="pubSearchBox" style="visibility:hidden;"><input id="pubSearchInputBox" type="text" name="keyword" placeholder="keywords"> <input id="pubSearchButton" type="button" value="Search" onClick="searchF()"></form><h2 id="searchTermSectionTitle" class="collectiontitle"></h2><script type="text/javascript">
function getURLParameter(name) {
return decodeURIComponent((new RegExp('[?|&]' + name + '=' + '([^&;]+?)(&|#|;|$)').exec(location.search)||[,""])[1].replace(/\+/g, '%20'))||null;
}
jQuery( document ).ready(function() {
jQuery('#pubSearchBox,#bib-preamble').css("visibility","visible");
var kw = getURLParameter("keyword");
if (kw) {
jQuery('#pubSearchInputBox').val(kw);
searchF([kw]);
}
});
jQuery.expr[":"].icontains = jQuery.expr.createPseudo(function(arg) {
return function( elem ) {
return jQuery(elem).text().toUpperCase().indexOf(arg.toUpperCase()) >= 0;
};});
function searchF(searchTerms, shown, disjunctive) {
var i=document.pubSearchBox.keyword.value;
searchTerms = searchTerms || (i!=""&&i.split(" "));
shown = shown || searchTerms;
jQuery(".bib-item").css("display", "none");
var q = ".bib-item";
if (disjunctive)
{ for (x in searchTerms) {jQuery(".bib-item:icontains('"+searchTerms[x]+"')").css("display", "block");}
}
else
{ jQuery.each(searchTerms, function(i,x) {q = q + ":icontains('"+x+"')";});
jQuery(q).css("display", "block");}
jQuery("#searchTermSectionTitle").html(searchTerms.length>0?"<a href='#' onclick='searchF([]);'>✕</a> "+shown:"");
jQuery(".collectiontitle").parent(".full-bib-section,.short-bib-section").css("display", "block");
jQuery(".collectiontitle").parent(".full-bib-section,.short-bib-section").each(function(){
var y = jQuery(this).find(".bib-item:visible");
if (y.length==0) {jQuery(this).css("display","none");}
});
}
jQuery(function() { // <== Doc ready
// stackoverflow q 3971524
var inputVal = jQuery("#pubSearchInputBox").val(),
timer,
checkForChange = function() {
var self = this; // or just use .bind(this)
if (timer) { clearTimeout(timer); }
// check for change of the text field after each key up
timer = setTimeout(function() {
if(self.value != inputVal) {
searchF();
inputVal = self.value
}
}, 250);
};
jQuery("#pubSearchInputBox").bind('keyup paste cut', checkForChange);
});</script></div><div class="full-bib-section"><a id='accepted' style='{display: block; position: relative; top: -150px; visibility: hidden;}'></a><h2 class="collectiontitle">accepted</h2>
<div class="bib-item"><div class="bib-details"><div class="csl-entry">Xu, Y., & Reitter, D. (accepted). <span class="doctitle">Entropy in conversation: Towards an information-theoretic model of dialogue.</span> <i>Cognition</i>, 45 pages.</div><span class='bib-kw' style='display:none;'>FCQK6PT6 AWMEXUV2 year__accepted venue_short__Cognition type__journalArticle ""</span></div><div class="bib-venue">Cognition</div><div class="bib-venue-short">Cognition</div><div class="blinkitems"><div class="blink"><a >Abstract</a><div class="bibshowhide"><div class="abstract">The principle of entropy rate constancy (ERC) states that language users distribute information such that words tend to be equally predictable given previous contexts. We examine the applicability of this principle to spoken dialogue‚ as previous findings primarily rest on written text. The study takes into account the joint-activity nature of dialogue and the topic shift mechanisms that are different from monologue. It examines how the information contributions from the two dialogue partners interactively evolve as the discourse develops.
The increase of local sentence-level entropy (predicted by ERC) is shown to apply to dialogue overall.
However‚ by identifying the different roles of interlocutors in introducing new topics (initiator vs. responder)‚ their contribution in information content displays a new converging pattern. The finding is explained through a combination of common ground (CG) theory and interactive alignment model (IAM)‚ on top of a discourse analysis of topic structures. Based on the analysis‚ we put forward a descriptive information-theoretic view of dialogue that casts dialogue as an information exchange system‚ within which the individual’s information production shows less predictable variation over time‚ but the joint contribution of the interlocutors as a whole does follow the prediction of ERC‚ i.e.‚ keeping the overall entropy rate constant.</div></div></div><div class="blink"><a >BIB</a><div class="bibshowhide"><div class="bib">@article{xunodateentropy,
title = {Entropy in conversation: {Towards} an information-theoretic model of dialogue},
journal = {Cognition},
author = {Xu, Yang and Reitter, David},
pages = {45 pages}
}</div></div></div><div class="blink"><a title="Download RIS/Endnote record" onclick="dwnD('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');return false;">RIS</a></div><span class="Z3988" title="url_ver=Z39.88-2004&ctx_ver=Z39.88-2004&rfr_id=info%3Asid%2Fzotero.org%3A2&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Entropy%20in%20conversation%3A%20Towards%20an%20information-theoretic%20model%20of%20dialogue&rft.jtitle=Cognition&rft.aufirst=Yang&rft.aulast=Xu&rft.au=Yang%20Xu&rft.au=David%20Reitter&rft.pages=45%20pages"></span></div></div></div><div class="full-bib-section"><a id='inreview' style='{display: block; position: relative; top: -150px; visibility: hidden;}'></a><h2 class="collectiontitle">in review</h2>
<div class="bib-item"><div class="bib-details"><div class="csl-entry">Ororbia II, A. G., Mikolov, T., & Reitter, D. (in review). <span class="doctitle"><a class="doctitle" href="https://arxiv.org/abs/1703.08864">Learning Simpler Language Models with the Delta Recurrent Neural Network Framework.</a></span> </div><span class='bib-kw' style='display:none;'>FCQK6PT6 AWMEXUV2 year__in review type__journalArticle ""</span></div><div class="blinkitems"><div class="blink"><a >Abstract</a><div class="bibshowhide"><div class="abstract">Learning useful information across long time lags is a critical and difficult problem for temporal neural models in tasks like language modeling. Existing architectures that address the issue are often complex and costly to train. The Delta Recurrent Neural Network (Delta-RNN) framework is a simple and high-performing design that unifies previously proposed gated neural models. The Delta-RNN models maintain longer-term memory by learning to interpolate between a fast-changing data-driven representation and a slowly changing‚ implicitly stable state. This requires hardly any more parameters than a classical simple recurrent network. The models outperform popular complex architectures‚ such as the Long Short Term Memory (LSTM) and the Gated Recurrent Unit (GRU) and achieve state-of-the art performance in language modeling at character and word levels and yield comparable performance at the subword level.</div></div></div><div class="blink"><a href="https://arxiv.org/abs/1703.08864" >link</a></div><div class="blink"><a >BIB</a><div class="bibshowhide"><div class="bib">@article{ororbia_ii_learning_nodate,
series = {{arXiv} preprint {arXiv}:1703.08864},
title = {Learning {Simpler} {Language} {Models} with the {Delta} {Recurrent} {Neural} {Network} {Framework}},
url = {https://arxiv.org/abs/1703.08864},
author = {Ororbia II, Alexander G. and Mikolov, Tomas and Reitter, David}
}</div></div></div><div class="blink"><a title="Download RIS/Endnote record" onclick="dwnD('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');return false;">RIS</a></div><span class="Z3988" title="url_ver=Z39.88-2004&ctx_ver=Z39.88-2004&rfr_id=info%3Asid%2Fzotero.org%3A2&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Learning%20Simpler%20Language%20Models%20with%20the%20Delta%20Recurrent%20Neural%20Network%20Framework&rft.aufirst=Alexander%20G.&rft.aulast=Ororbia%20II&rft.au=Alexander%20G.%20Ororbia%20II&rft.au=Tomas%20Mikolov&rft.au=David%20Reitter"></span></div></div><div class="bib-item"><div class="bib-details"><div class="csl-entry">Vogelzang, M., De Rechteren van Hemert, A., Reitter, D., Van Rij, J., Hendriks, P., & Van Rijn, H. (in review). <span class="doctitle">Towards cognitively constrained models of language processing: A review.</span></div><span class='bib-kw' style='display:none;'>FCQK6PT6 AWMEXUV2 year__in review type__journalArticle ""</span></div><div class="blinkitems"><div class="blink"><a >Abstract</a><div class="bibshowhide"><div class="abstract">Language processing is not an isolated capacity‚ but is embedded in other aspects of our cognition. However‚ it is still largely unexplored to what extent and how language processing interacts with general cognitive resources. This question can be investigated with cognitively constrained computational models‚ which simulate the cognitive processes involved in language processing. The theoretical claims implemented in cognitive models interact with general architectural constraints such as memory limitations. This way‚ it generates new predictions that can be tested in experiments‚ thus generating new data that can give rise to new theoretical insights. This theory-model-experiment cycle is a promising method for investigating aspects of language processing that are difficult to investigate with more traditional experimental techniques.
This review specifically examines the language processing models of Lewis and Vasishth (2005)‚ Reitter‚ Keller‚ and Moore (2011)‚ and Van Rij‚ Van Rijn‚ and Hendriks (2010)‚ all implemented in the cognitive architecture ACT-R (Anderson‚ 2007). These models are all limited by the assumptions about cognitive capacities provided by the cognitive architecture‚ but use different linguistic approaches. Because of this‚ their comparison provides insight into the extent to which assumptions about general cognitive resources influence concretely implemented models of linguistic competence. For example‚ the sheer speed and accuracy of human language processing is a current challenge in the field of cognitive modeling‚ as it does not seem to adhere to the same memory and processing capacities that have been found in other cognitive processes. Architecture-based cognitive models of language processing may be able to make explicit which language-specific resources are needed to acquire and process natural language.
The review sheds light on cognitively constrained models of language processing from two angles: we discuss 1) whether currently adopted cognitive assumptions meet the requirements for language processing‚ and 2) how cognitive assumptions reduce the degrees of freedom of linguistic analyses‚ thus increasing their cognitive plausibility. Overall‚ the evaluation of cognitively constrained models of language processing will allow for a better understanding of the relation between data‚ linguistic theory‚ cognitive assumptions‚ and explanation.</div></div></div><div class="blink"><a >BIB</a><div class="bibshowhide"><div class="bib">@article{vogelzangnodatetowards,
title = {Towards cognitively constrained models of language processing: {A} review},
author = {Vogelzang, Margreet and De Rechteren van Hemert, Annelot and Reitter, David and Van Rij, Jacolien and Hendriks, Petra and Van Rijn, Hedderik}
}</div></div></div><div class="blink"><a title="Download RIS/Endnote record" onclick="dwnD('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');return false;">RIS</a></div><span class="Z3988" title="url_ver=Z39.88-2004&ctx_ver=Z39.88-2004&rfr_id=info%3Asid%2Fzotero.org%3A2&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Towards%20cognitively%20constrained%20models%20of%20language%20processing%3A%20A%20review&rft.aufirst=Margreet&rft.aulast=Vogelzang&rft.au=Margreet%20Vogelzang&rft.au=Annelot%20De%20Rechteren%20van%20Hemert&rft.au=David%20Reitter&rft.au=Jacolien%20Van%20Rij&rft.au=Petra%20Hendriks&rft.au=Hedderik%20Van%20Rijn"></span></div></div><div class="bib-item"><div class="bib-details"><div class="csl-entry">Reitter, D., & Grossklags, J. (in review). <span class="doctitle">Timing Decisions: How Individual Differences and Task Perception Affect Choices.</span></div><span class='bib-kw' style='display:none;'>FCQK6PT6 AWMEXUV2 year__in review type__journalArticle ""</span></div><div class="blinkitems"><div class="blink"><a >Abstract</a><div class="bibshowhide"><div class="abstract">This paper addresses timing decisions and how individuals’ predispositions shape their choices in light of changing task demands and the availability of information. A series of behavioral experiments is presented in which the timing of actions is the critical decision-making factor. The feedback modality in the decision environment is varied between visual feedback with history (Experiment 1)‚ and temporal feedback without history (Experiment 2). Using psychometric scales‚ we study the role of individual difference variables‚ specifically risk propensity and need for cognition. The analysis is based on the data from over 450 participants. We find that risk propensity is not a hindrance in timing tasks. Participants of average risk propensity generally benefit from a reflective disposition (high need for cognition)‚ particularly when visual feedback is given. Overall‚ participants benefit from need for cognition; however‚ in the more difficult‚ temporal-estimation task‚ this requires familiarity with the task.</div></div></div><div class="blink"><a >BIB</a><div class="bibshowhide"><div class="bib">@article{reitternodatetiming,
title = {Timing {Decisions}: {How} {Individual} {Differences} and {Task} {Perception} {Affect} {Choices}},
author = {Reitter, David and Grossklags, Jens}
}</div></div></div><div class="blink"><a title="Download RIS/Endnote record" onclick="dwnD('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');return false;">RIS</a></div><span class="Z3988" title="url_ver=Z39.88-2004&ctx_ver=Z39.88-2004&rfr_id=info%3Asid%2Fzotero.org%3A2&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Timing%20Decisions%3A%20How%20Individual%20Differences%20and%20Task%20Perception%20Affect%20Choices&rft.aufirst=David&rft.aulast=Reitter&rft.au=David%20Reitter&rft.au=Jens%20Grossklags"></span></div></div><div class="bib-item"><div class="bib-details"><div class="csl-entry">Xu, Y., & Reitter, D. (in review). <span class="doctitle">Alignment Follows the Signals of Linguistic Power, but Not Social Power.</span></div><span class='bib-kw' style='display:none;'>FCQK6PT6 AWMEXUV2 year__in review type__journalArticle ""</span></div><div class="blinkitems"><div class="blink"><a >Abstract</a><div class="bibshowhide"><div class="abstract">The presence of linguistic features that indicate “powerless” (hedges and hesitations) is found to be positively correlated with the amount of alignment (accommodation‚ entrenchment‚ coordination) in online conversations‚ after the disturbing effect of text length is removed. The effect of powerless features is stronger than that of the explicit status difference (admin vs. non-admin) in the Wikipedia data. We conjecture that interlocutors’ perception of the powerless features best explains the relationship between power status and linguistic alignment. This unifies mechanistic‚ memory-based priming models with alignment that varies with apparent social status.</div></div></div><div class="blink"><a >BIB</a><div class="bibshowhide"><div class="bib">@article{xunodatealignment,
title = {Alignment {Follows} the {Signals} of {Linguistic} {Power}, but {Not} {Social} {Power}},
author = {Xu, Yang and Reitter, David}
}</div></div></div><div class="blink"><a title="Download RIS/Endnote record" onclick="dwnD('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');return false;">RIS</a></div><span class="Z3988" title="url_ver=Z39.88-2004&ctx_ver=Z39.88-2004&rfr_id=info%3Asid%2Fzotero.org%3A2&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Alignment%20Follows%20the%20Signals%20of%20Linguistic%20Power%2C%20but%20Not%20Social%20Power&rft.aufirst=Yang&rft.aulast=Xu&rft.au=Yang%20Xu&rft.au=David%20Reitter"></span></div></div><div class="bib-item"><div class="bib-details"><div class="csl-entry">Ghafurian, M., & Reitter, D. (in review). <span class="doctitle">Impatience in Dynamic Decision Making.</span></div><span class='bib-kw' style='display:none;'>FCQK6PT6 AWMEXUV2 year__in review type__journalArticle ""</span></div><div class="blinkitems"><div class="blink"><a >Abstract</a><div class="bibshowhide"><div class="abstract">Choosing when to act‚ as opposed to how to act‚ is a critical task in many practical
situations. In this paper‚ two experiments are presented that elicit timing decisions
under external uncertainty to study impatience‚ a bias affecting timing decisions. Each
experiment uses a game with an automated‚ stochastic opponent‚ and the game is
designed to represent real-life decisions on timing of actions. Experiment 1 elicits
impatience and contrasts it from individual risk propensity. Experiment 2 manipulates
impatience using a visual countdown procedure. Two effects‚ different for men and women‚ are identified as a consequence of the impatience bias‚ which was moderated
using fast countdowns. The first effect‚ a tendency to act early and more frequently‚
was observed in men. The second effect‚ observed in women‚ was a tendency to
receive information early at cost‚ if only for a few seconds and with no gain.
Additionally‚ impatience caused by the delay negatively affected men’s happiness with the task. Men who received faster countdowns left reliably more positive comments about their experience.</div></div></div><div class="blink"><a >BIB</a><div class="bibshowhide"><div class="bib">@article{ghafuriannodateimpatience,
title = {Impatience in {Dynamic} {Decision} {Making}},
author = {Ghafurian, Moojan and Reitter, David}
}</div></div></div><div class="blink"><a title="Download RIS/Endnote record" onclick="dwnD('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');return false;">RIS</a></div><span class="Z3988" title="url_ver=Z39.88-2004&ctx_ver=Z39.88-2004&rfr_id=info%3Asid%2Fzotero.org%3A2&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Impatience%20in%20Dynamic%20Decision%20Making&rft.aufirst=Moojan&rft.aulast=Ghafurian&rft.au=Moojan%20Ghafurian&rft.au=David%20Reitter"></span></div></div></div><div class="full-bib-section"><a id='2017' style='{display: block; position: relative; top: -150px; visibility: hidden;}'></a><h2 class="collectiontitle">2017</h2>
<div class="bib-item"><div class="bib-details"><div class="csl-entry">Reitter, D. (2017). <span class="doctitle">Alignment in Web-based Dialogue: Who Aligns, and how Automatic is it? Studies in Big-Data Computational Psycholinguistics.</span> In M. N. Jones (Ed.), <i>Big Data in Cognitive Science</i> (pp. 246–269). Routledge Psychology Press.</div><span class='bib-kw' style='display:none;'>FCQK6PT6 BQUUP5PR Q7H5UM3I ZJFRZTCB year__2017 type__bookSection ""</span></div><div class="blinkitems"><div class="blink"><a >BIB</a><div class="bibshowhide"><div class="bib">@incollection{reitter2017alignment,
series = {Frontiers of {Cognitive} {Psychology}},
title = {Alignment in {Web}-based {Dialogue}: {Who} {Aligns}, and how {Automatic} is it? {Studies} in {Big}-{Data} {Computational} {Psycholinguistics}},
booktitle = {Big {Data} in {Cognitive} {Science}},
publisher = {Routledge Psychology Press},
author = {Reitter, David},
editor = {Jones, Michael N.},
year = {2017},
pages = {246--269}
}</div></div></div><div class="blink"><a title="Download RIS/Endnote record" onclick="dwnD('VFkgIC0gQ0hBUA0KVEkgIC0gQWxpZ25tZW50IGluIFdlYi1iYXNlZCBEaWFsb2d1ZTogV2hvIEFsaWducywgYW5kIGhvdyBBdXRvbWF0aWMgaXMgaXQ/IFN0dWRpZXMgaW4gQmlnLURhdGEgQ29tcHV0YXRpb25hbCBQc3ljaG9saW5ndWlzdGljcw0KQVUgIC0gUmVpdHRlciwgRGF2aWQNClQyICAtIEJpZyBEYXRhIGluIENvZ25pdGl2ZSBTY2llbmNlDQpBMiAgLSBKb25lcywgTWljaGFlbCBOLg0KVDMgIC0gRnJvbnRpZXJzIG9mIENvZ25pdGl2ZSBQc3ljaG9sb2d5DQpEQSAgLSAyMDE3Ly8vDQpQWSAgLSAyMDE3DQpTUCAgLSAyNDYNCkVQICAtIDI2OQ0KUEIgIC0gUm91dGxlZGdlIFBzeWNob2xvZ3kgUHJlc3MNCkVSICAt');return false;">RIS</a></div><span class="Z3988" title="url_ver=Z39.88-2004&ctx_ver=Z39.88-2004&rfr_id=info%3Asid%2Fzotero.org%3A2&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Abook&rft.genre=bookitem&rft.atitle=Alignment%20in%20Web-based%20Dialogue%3A%20Who%20Aligns%2C%20and%20how%20Automatic%20is%20it%3F%20Studies%20in%20Big-Data%20Computational%20Psycholinguistics&rft.btitle=Big%20Data%20in%20Cognitive%20Science&rft.publisher=Routledge%20Psychology%20Press&rft.series=Frontiers%20of%20Cognitive%20Psychology&rft.aufirst=David&rft.aulast=Reitter&rft.au=David%20Reitter&rft.au=Michael%20N.%20Jones&rft.date=2017&rft.pages=246-269&rft.spage=246&rft.epage=269"></span></div></div><div class="bib-item"><div class="bib-details"><div class="csl-entry">Kelly, M. A., Reitter, D., & West, R. L. (2017). <span class="doctitle">Degrees of Separation in Semantic and Syntactic Relationships.</span> In <i>Proc 15th. International Conference on Cognitive Modeling</i>. Warwick, UK.</div><span class='bib-kw' style='display:none;'>FCQK6PT6 BQUUP5PR Q7H5UM3I year__2017 venue_short__ICCM type__conferencePaper ""</span></div><div class="bib-venue">ICCM</div><div class="bib-venue-short">ICCM</div><div class="blinkitems"><div class="blink"><a >Abstract</a><div class="bibshowhide"><div class="abstract">Computational models of distributional semantics can analyze a corpus to derive representations of word meanings in terms of each word’s relationship to all other words in the corpus. While these models are sensitive to topic (e.g.‚ tiger and stripes) and synonymy (e.g.‚ soar and fly)‚ the models have limited sensitivity to part of speech (e.g.‚ book and shirt are both nouns). By augmenting a holographic model of semantic memory with additional levels of representations‚ we present evidence that sensitivity to syntax is supported by exploiting associations between words at varying degrees of separation. We find that sensitivity to associations at three degrees of separation reinforces the relationships between words that share part-of-speech and improves the ability of the model to construct grammatical sentences. Our model provides evidence that semantics and syntax exist on a continuum and emerge from a unitary cognitive system.</div></div></div><div class="blink"><a >BIB</a><div class="bibshowhide"><div class="bib">@inproceedings{kelly2017degrees,
address = {Warwick, UK},
title = {Degrees of {Separation} in {Semantic} and {Syntactic} {Relationships}},
booktitle = {Proc 15th. {International} {Conference} on {Cognitive} {Modeling}},
author = {Kelly, Matthew A. and Reitter, David and West, Robert L.},
year = {2017}
}</div></div></div><div class="blink"><a title="Download RIS/Endnote record" onclick="dwnD('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');return false;">RIS</a></div><span class="Z3988" title="url_ver=Z39.88-2004&ctx_ver=Z39.88-2004&rfr_id=info%3Asid%2Fzotero.org%3A2&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Abook&rft.genre=proceeding&rft.atitle=Degrees%20of%20Separation%20in%20Semantic%20and%20Syntactic%20Relationships&rft.btitle=Proc%2015th.%20International%20Conference%20on%20Cognitive%20Modeling&rft.place=Warwick%2C%20UK&rft.aufirst=Matthew%20A.&rft.aulast=Kelly&rft.au=Matthew%20A.%20Kelly&rft.au=David%20Reitter&rft.au=Robert%20L.%20West&rft.date=2017"></span></div></div><div class="bib-item"><div class="bib-details"><div class="csl-entry">Wang, Y., Reitter, D., & Yen, J. (2017). <span class="doctitle"><a class="doctitle" href="http://www.david-reitter.com/pub/wang2017emotional.pdf">How emotional support and informational support relate to linguistic alignment.</a></span> In <i>Social, Cultural, and Behavioral Modeling</i>. Washington, D.C.: Springer. </div><span class='bib-kw' style='display:none;'>FCQK6PT6 BQUUP5PR Q7H5UM3I year__2017 venue_short__SBP-BRiMS type__archivalConferencePaper ""</span></div><div class="bib-venue">SBP-BRiMS</div><div class="bib-venue-short">SBP-BRiMS</div><div class="blinkitems"><div class="blink"><a >Abstract</a><div class="bibshowhide"><div class="abstract">Linguistic alignment in text-based communication means that people tend to adjust their language use to one another both in terms of word choice and sentence structure. Previous studies about linguistic alignment suggested that these two forms of adaptation are correlated with each other‚ and that they build up to alignment at a higher representational level‚ such as pragmatic alignment for support functions. Two types of social support have been identified as important for online health communities (OHCs): emotional and informational support between support seekers and support providers. Do the two lower-level alignment measures (lexical and syntactic) relate to these two types of social support in the same way or‚ are they different? Our hypothesis was that they are similar‚ due to their correlation relationship. However‚ we found that‚ based on an analysis of a 10-year online forum for cancer survivors‚ the lower-level alignment measures have distinct relationships to the two higher-level support functions. In this paper‚ we describe this finding and its implications regarding potential refinement of the Inter- active Alignment Model.</div></div></div><div class="blink"><a href="http://www.david-reitter.com/pub/wang2017emotional.pdf" >PDF</a></div><div class="blink"><a >BIB</a><div class="bibshowhide"><div class="bib">@inproceedings{wang2017how,
address = {Washington, D.C.},
series = {{LNCS}},
title = {How emotional support and informational support relate to linguistic alignment},
url = {http://www.david-reitter.com/pub/wang2017emotional.pdf},
booktitle = {Social, {Cultural}, and {Behavioral} {Modeling}},
publisher = {Springer},
author = {Wang, Yafei and Reitter, David and Yen, John},
year = {2017}
}</div></div></div><div class="blink"><a title="Download RIS/Endnote record" onclick="dwnD('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');return false;">RIS</a></div><span class="Z3988" title="url_ver=Z39.88-2004&ctx_ver=Z39.88-2004&rfr_id=info%3Asid%2Fzotero.org%3A2&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Abook&rft.genre=proceeding&rft.atitle=How%20emotional%20support%20and%20informational%20support%20relate%20to%20linguistic%20alignment&rft.btitle=Social%2C%20Cultural%2C%20and%20Behavioral%20Modeling&rft.place=Washington%2C%20D.C.&rft.publisher=Springer&rft.series=LNCS&rft.aufirst=Yafei&rft.aulast=Wang&rft.au=Yafei%20Wang&rft.au=David%20Reitter&rft.au=John%20Yen&rft.date=2017"></span></div></div><div class="bib-item"><div class="bib-details"><div class="csl-entry">Cole, J., Ghafurian, M., & Reitter, D. (2017). <span class="doctitle">Linking Memory Activation and Word Adoption in Social Language Use via Rational Analysis.</span> In <i>Proceedings of the 15th International Conference on Cognitive Modeling</i>. London, UK.</div><span class='bib-kw' style='display:none;'>FCQK6PT6 BQUUP5PR Q7H5UM3I year__2017 venue_short__ICCM type__conferencePaper ""</span></div><div class="bib-venue">ICCM</div><div class="bib-venue-short">ICCM</div><div class="blinkitems"><div class="blink"><a >Abstract</a><div class="bibshowhide"><div class="abstract">This paper investigates how cognition facilitates the adoption of new words through a study of the large-scale Reddit corpus‚ which contains written‚ threaded conversations conducted over the internet. Parameters for the cognitive architecture are estimated. Using ACT-R’s account of declarative memory‚ the activation of memory chunks representing words is traced and compared to usage statistics sampled from a year of data. Potential values for decay and retrieval threshold are identified according to model fit and growth rates of word adoption. The resulting estimate for the decay parameter‚ d‚ is 0.22‚ and the estimate for the retrieval threshold parameter‚ rt‚ lies between 3.4 and 4.5.</div></div></div><div class="blink"><a >BIB</a><div class="bibshowhide"><div class="bib">@inproceedings{cole2017linking,
address = {London, UK},
title = {Linking {Memory} {Activation} and {Word} {Adoption} in {Social} {Language} {Use} via {Rational} {Analysis}},
booktitle = {Proceedings of the 15th {International} {Conference} on {Cognitive} {Modeling}},
author = {Cole, Jeremy and Ghafurian, Moojan and Reitter, David},
year = {2017}
}</div></div></div><div class="blink"><a title="Download RIS/Endnote record" onclick="dwnD('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');return false;">RIS</a></div><span class="Z3988" title="url_ver=Z39.88-2004&ctx_ver=Z39.88-2004&rfr_id=info%3Asid%2Fzotero.org%3A2&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Abook&rft.genre=proceeding&rft.atitle=Linking%20Memory%20Activation%20and%20Word%20Adoption%20in%20Social%20Language%20Use%20via%20Rational%20Analysis&rft.btitle=Proceedings%20of%20the%2015th%20International%20Conference%20on%20Cognitive%20Modeling&rft.place=London%2C%20UK&rft.aufirst=Jeremy&rft.aulast=Cole&rft.au=Jeremy%20Cole&rft.au=Moojan%20Ghafurian&rft.au=David%20Reitter&rft.date=2017"></span></div></div><div class="bib-item"><div class="bib-details"><div class="csl-entry">Cole, J., & Reitter, D. (2017). <span class="doctitle">Examining Working Memory during Sentence Construction with an ACT-R Model of Grammatical Encoding.</span> In <i>Proceedings of the 15th International Conference on Cognitive Modeling</i>. London, UK.</div><span class='bib-kw' style='display:none;'>FCQK6PT6 BQUUP5PR Q7H5UM3I year__2017 venue_short__ICCM type__conferencePaper ""</span></div><div class="bib-venue">ICCM</div><div class="bib-venue-short">ICCM</div><div class="blinkitems"><div class="blink"><a >Abstract</a><div class="bibshowhide"><div class="abstract">We examine working memory use and incrementality using a cognitive model of grammatical encoding. Our model com- bines an empirically validated framework‚ ACT-R‚ with a lin- guistic theory‚ Combinatory Categorial Grammar‚ to target that phase of language production. By building the model with the Switchboard corpus‚ it can attempt to realize a larger set of sentences. With this methodology‚ different strategies may be compared according to the similarity of the model’s sentences to the test sentences. In this way‚ the model can still be evalu- ated by its fit to human data‚ without overfitting to individual experiments. The results show that while having more work- ing memory available improves performance‚ using less work- ing memory during realization is correlated with a closer fit‚ even after controlling for sentence complexity. Further‚ sen- tences realized with a more incremental strategy are also more similar to the corpus sentences as measured by edit distance. As high incrementality is correlated with low working mem- ory usage‚ this study offers a possible mechanism by which incrementality can be explained.</div></div></div><div class="blink"><a >BIB</a><div class="bibshowhide"><div class="bib">@inproceedings{cole2017examining,
address = {London, UK},
title = {Examining {Working} {Memory} during {Sentence} {Construction} with an {ACT}-{R} {Model} of {Grammatical} {Encoding}},
booktitle = {Proceedings of the 15th {International} {Conference} on {Cognitive} {Modeling}},
author = {Cole, Jeremy and Reitter, David},
year = {2017}
}</div></div></div><div class="blink"><a title="Download RIS/Endnote record" onclick="dwnD('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');return false;">RIS</a></div><span class="Z3988" title="url_ver=Z39.88-2004&ctx_ver=Z39.88-2004&rfr_id=info%3Asid%2Fzotero.org%3A2&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Abook&rft.genre=proceeding&rft.atitle=Examining%20Working%20Memory%20during%20Sentence%20Construction%20with%20an%20ACT-R%20Model%20of%20Grammatical%20Encoding&rft.btitle=Proceedings%20of%20the%2015th%20International%20Conference%20on%20Cognitive%20Modeling&rft.place=London%2C%20UK&rft.aufirst=Jeremy&rft.aulast=Cole&rft.au=Jeremy%20Cole&rft.au=David%20Reitter&rft.date=2017"></span></div></div><div class="bib-item"><div class="bib-details"><div class="csl-entry">Xu, Y., & Reitter, D. (2017). <span class="doctitle"><a class="doctitle" href="http://www.david-reitter.com/pub/xu2017spectral.pdf">Spectral Analysis of Information Density in Dialogue Predicts Collaborative Task Performance.</a></span> In <i>Proceedings of the 55th Annual Mtg. of the Association for Computational Linguistics</i>. Vancouver, Canada. </div><span class='bib-kw' style='display:none;'>FCQK6PT6 BQUUP5PR Q7H5UM3I year__2017 venue_short__ACL type__archivalConferencePaper ""</span></div><div class="bib-venue">ACL</div><div class="bib-venue-short">ACL</div><div class="blinkitems"><div class="blink"><a >Abstract</a><div class="bibshowhide"><div class="abstract">We propose a perspective on dialogue that focuses on relative information contributions of conversation partners as a key to successful communication. We predict the success of collaborative task in English and Danish corpora of task-oriented dialogue. Two features are extracted from the frequency domain representations of the lexical entropy series of each interlocutor‚ power spectrum overlap (PSO) and relative phase (RP). We find that PSO is a negative predictor of task success‚ while RP is a positive one. An SVM with these features significantly improved on previous task success prediction models. Our findings suggest that the strategic distribution of information density between interlocutors is relevant to task success.</div></div></div><div class="blink"><a href="http://www.david-reitter.com/pub/xu2017spectral.pdf" >PDF</a></div><div class="blink"><a >BIB</a><div class="bibshowhide"><div class="bib">@inproceedings{xu2017spectral,
address = {Vancouver, Canada},
title = {Spectral {Analysis} of {Information} {Density} in {Dialogue} {Predicts} {Collaborative} {Task} {Performance}},
url = {http://www.david-reitter.com/pub/xu2017spectral.pdf},
booktitle = {Proceedings of the 55th {Annual} {Mtg}. of the {Association} for {Computational} {Linguistics}},
author = {Xu, Yang and Reitter, David},
year = {2017}
}</div></div></div><div class="blink"><a title="Download RIS/Endnote record" onclick="dwnD('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');return false;">RIS</a></div><span class="Z3988" title="url_ver=Z39.88-2004&ctx_ver=Z39.88-2004&rfr_id=info%3Asid%2Fzotero.org%3A2&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Abook&rft.genre=proceeding&rft.atitle=Spectral%20Analysis%20of%20Information%20Density%20in%20Dialogue%20Predicts%20Collaborative%20Task%20Performance&rft.btitle=Proceedings%20of%20the%2055th%20Annual%20Mtg.%20of%20the%20Association%20for%20Computational%20Linguistics&rft.place=Vancouver%2C%20Canada&rft.aufirst=Yang&rft.aulast=Xu&rft.au=Yang%20Xu&rft.au=David%20Reitter&rft.date=2017"></span></div></div><div class="bib-item"><div class="bib-details"><div class="csl-entry">Cole, J., Ghafurian, M., & Reitter, D. (2017). <span class="doctitle"><a class="doctitle" href="http://www.david-reitter.com/pub/cole2017wordadoption.pdf">Is Word Adoption a Grassroots Process? An Analysis of Reddit Communities.</a></span> In <i>Social, Cultural, and Behavioral Modeling</i>. Washington, D.C.: Springer. </div><span class='bib-kw' style='display:none;'>FCQK6PT6 Q7H5UM3I SHTFSZTC year__2017 venue_short__SBP-BRiMS type__archivalConferencePaper ""</span></div><div class="bib-venue">SBP-BRiMS</div><div class="bib-venue-short">SBP-BRiMS</div><div class="blinkitems"><div class="blink"><a >Abstract</a><div class="bibshowhide"><div class="abstract">This study examines how novel words originate in and disperse through online communities. It asks whether larger numbers of people or closer social ties are better environments to foster the adoption of new words. The data stem from Reddit‚ a large sample of web-mediated‚ asynchronous conversations. Reddit communities are divided by size in this study: larger communities are based on discussing general topics and have weak social ties‚ whereas small communities are based on discussing specific topics and have strong social ties. The analysis shows that the majority of new words are created / first adopted in larger communities.</div></div></div><div class="blink"><a href="http://www.david-reitter.com/pub/cole2017wordadoption.pdf" >PDF</a></div><div class="blink"><a >BIB</a><div class="bibshowhide"><div class="bib">@inproceedings{cole2017is,
address = {Washington, D.C.},
series = {{LNCS}},
title = {Is {Word} {Adoption} a {Grassroots} {Process}? {An} {Analysis} of {Reddit} {Communities}},
url = {http://www.david-reitter.com/pub/cole2017wordadoption.pdf},
booktitle = {Social, {Cultural}, and {Behavioral} {Modeling}},
publisher = {Springer},
author = {Cole, Jeremy and Ghafurian, Moojan and Reitter, David},
year = {2017}
}</div></div></div><div class="blink"><a title="Download RIS/Endnote record" onclick="dwnD('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');return false;">RIS</a></div><span class="Z3988" title="url_ver=Z39.88-2004&ctx_ver=Z39.88-2004&rfr_id=info%3Asid%2Fzotero.org%3A2&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Abook&rft.genre=proceeding&rft.atitle=Is%20Word%20Adoption%20a%20Grassroots%20Process%3F%20An%20Analysis%20of%20Reddit%20Communities&rft.btitle=Social%2C%20Cultural%2C%20and%20Behavioral%20Modeling&rft.place=Washington%2C%20D.C.&rft.publisher=Springer&rft.series=LNCS&rft.aufirst=Jeremy&rft.aulast=Cole&rft.au=Jeremy%20Cole&rft.au=Moojan%20Ghafurian&rft.au=David%20Reitter&rft.date=2017"></span></div></div><div class="bib-item"><div class="bib-details"><div class="csl-entry">Reitter, D., & Ritter, F. E. (2017). <span class="doctitle"><a class="doctitle" href="http://www.david-reitter.com/pub/reitter2017topicsintroduction.pdf">Introduction to the Issue on Computational Models of Memory: Selected Papers From the International Conference on Cognitive Modeling.</a></span> <i>Topics in Cognitive Science</i>, <i>9</i>(1), 48–50. https://doi.org/10.1111/tops.12249</div><span class='bib-kw' style='display:none;'>FCQK6PT6 Q7H5UM3I 3E52UEVV year__2017 venue_short__TopiCS type__edited-volume ""</span></div><div class="bib-venue">Topics in Cognitive Science</div><div class="bib-venue-short">TopiCS</div><div class="blinkitems"><div class="blink"><a >Abstract</a><div class="bibshowhide"><div class="abstract">Computational models of memory presented in this issue reflect varied empirical data and levels of representation. From mathematical models to neural and cognitive architectures‚ all aim to converge on a unified theory of the mind.</div></div></div><div class="blink"><a href="http://www.david-reitter.com/pub/reitter2017topicsintroduction.pdf" >PDF</a></div><div class="blink"><a >BIB</a><div class="bibshowhide"><div class="bib">@article{reitter2017introduction,
title = {Introduction to the {Issue} on {Computational} {Models} of {Memory}: {Selected} {Papers} {From} the {International} {Conference} on {Cognitive} {Modeling}},
volume = {9},
url = {http://www.david-reitter.com/pub/reitter2017topicsintroduction.pdf},
doi = {10.1111/tops.12249},
number = {1},
journal = {Topics in Cognitive Science},
author = {Reitter, David and Ritter, Frank E.},
year = {2017},
pages = {48--50}
}</div></div></div><div class="blink"><a title="Download RIS/Endnote record" onclick="dwnD('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');return false;">RIS</a></div><span class="Z3988" title="url_ver=Z39.88-2004&ctx_ver=Z39.88-2004&rfr_id=info%3Asid%2Fzotero.org%3A2&rft_id=info%3Adoi%2F10.1111%2Ftops.12249&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Introduction%20to%20the%20Issue%20on%20Computational%20Models%20of%20Memory%3A%20Selected%20Papers%20From%20the%20International%20Conference%20on%20Cognitive%20Modeling&rft.jtitle=Topics%20in%20Cognitive%20Science&rft.stitle=TopiCS&rft.volume=9&rft.issue=1&rft.aufirst=David&rft.aulast=Reitter&rft.au=David%20Reitter&rft.au=Frank%20E.%20Ritter&rft.date=2017&rft.pages=48-50&rft.spage=48&rft.epage=50"></span></div></div><div class="bib-item"><div class="bib-details"><div class="csl-entry">Ororbia II, A. G., Reitter, D., & Giles, C. L. (2017, March). <span class="doctitle"><i>The Temporal Neural Coding Network: Towards Lifelong Language Learning</i>.</span> Presented at the 11th Annual Machine Learning Symposium, The New York Academy of Sciences.</div><span class='bib-kw' style='display:none;'>FCQK6PT6 K567TKH3 year__2017 type__presentation ""</span></div><div class="blinkitems"><div class="blink"><a >Abstract</a><div class="bibshowhide"><div class="abstract">We present a novel lifelong neural architecture‚ the Temporal Neural Coding Network (TNCN)‚ and its learning algorithm‚ for uncovering multiple levels of distributed representations for language data streams. The TNCN model adapts its parameters iteratively as new samples are observed without resorting to the popular‚ but expensive back-propagation through time procedure needed to calculate gradients for recurrent neural networks‚ notably requiring no unrolling of internally defined recurrence relations. Furthermore‚ we integrate concepts from variational encoder-decoder models‚ such as those in [1]‚ to easily demonstrate how uncertainty can be characterized in the model’s next step predictions. We discuss how the proposed TNCN works specifically on language-based tasks formulated in the streaming setting‚ compared to various neural models‚ as well as how the TNCN may be easily adapted to other real-time tasks‚ such as video sequence modeling‚ yielding a natural framework for online multi-modal and online semi-supervised learning.</div></div></div><div class="blink"><a >BIB</a><div class="bibshowhide"><div class="bib">@misc{ororbia_ii_temporal_2017,
address = {The New York Academy of Sciences},
title = {The {Temporal} {Neural} {Coding} {Network}: {Towards} {Lifelong} {Language} {Learning}},
author = {Ororbia II, Alexander G. and Reitter, David and Giles, C. Lee},
month = mar,
year = {2017}
}</div></div></div><div class="blink"><a title="Download RIS/Endnote record" onclick="dwnD('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');return false;">RIS</a></div></div></div></div><div class="full-bib-section"><a id='2016' style='{display: block; position: relative; top: -150px; visibility: hidden;}'></a><h2 class="collectiontitle">2016</h2>
<div class="bib-item"><div class="bib-details"><div class="csl-entry">Xu, Y., & Reitter, D. (2016). <span class="doctitle"><a class="doctitle" href="http://www.aclweb.org/anthology/P16-1051">Entropy converges between dialogue participants: explanations from an information-theoretic perspective.</a></span> In <i>Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics</i> (Vol. 1 (Long Papers), pp. 537–546). Berlin, Germany: Association for Computational Linguistics. </div><span class='bib-kw' style='display:none;'>ZJFRZTCB BQUUP5PR Q7H5UM3I FCQK6PT6 TC3HZ9JR year__2016 venue_short__ACL type__archivalConferencePaper ""</span></div><div class="bib-venue">ACL</div><div class="bib-venue-short">ACL</div><div class="blinkitems"><div class="blink"><a >Abstract</a><div class="bibshowhide"><div class="abstract">The applicability of entropy rate constancy to dialogue is examined on two spoken dialogue corpora. The principle is found to hold; however‚ new entropy change patterns within the topic episodes of dialogue are described‚ which are different from written text.
Speaker’s dynamic roles as topic initiators and topic responders are associated with decreasing and increasing entropy‚ respectively‚ which results in local convergence between these speakers in each topic episode.
This implies that the sentence entropy in dialogue is conditioned on different contexts determined by the speaker’s roles.
Explanations from the perspectives of grounding theory and interactive alignment are discussed‚ resulting in a novel‚ unified information-theoretic approach of dialogue.</div></div></div><div class="blink"><a href="http://www.aclweb.org/anthology/P16-1051" >link</a></div><div class="blink"><a >BIB</a><div class="bibshowhide"><div class="bib">@inproceedings{xu2016entropy,
address = {Berlin, Germany},
title = {Entropy converges between dialogue participants: explanations from an information-theoretic perspective},
volume = {1 (Long Papers)},
url = {http://www.aclweb.org/anthology/P16-1051},
booktitle = {Proceedings of the 54th {Annual} {Meeting} of the {Association} for {Computational} {Linguistics}},
publisher = {Association for Computational Linguistics},
author = {Xu, Yang and Reitter, David},
year = {2016},
pages = {537--546}
}</div></div></div><div class="blink"><a title="Download RIS/Endnote record" onclick="dwnD('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');return false;">RIS</a></div><span class="Z3988" title="url_ver=Z39.88-2004&ctx_ver=Z39.88-2004&rfr_id=info%3Asid%2Fzotero.org%3A2&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Abook&rft.genre=proceeding&rft.atitle=Entropy%20converges%20between%20dialogue%20participants%3A%20explanations%20from%20an%20information-theoretic%20perspective&rft.btitle=Proceedings%20of%20the%2054th%20Annual%20Meeting%20of%20the%20Association%20for%20Computational%20Linguistics&rft.place=Berlin%2C%20Germany&rft.publisher=Association%20for%20Computational%20Linguistics&rft.aufirst=Yang&rft.aulast=Xu&rft.au=Yang%20Xu&rft.au=David%20Reitter&rft.date=2016&rft.pages=537-546&rft.spage=537&rft.epage=546"></span></div></div><div class="bib-item"><div class="bib-details"><div class="csl-entry">D’Orazio, V., Kenwick, M., Lane, M., Palmer, G., & Reitter, D. (2016). <span class="doctitle"><a class="doctitle" href="http://www.david-reitter.com/pub/dorazio2016conflict.pdf">Crowdsourcing the measurement of interstate conflict.</a></span> <i>PLOS ONE</i>, <i>11</i>(6), e0156527. https://doi.org/10.1371/journal.pone.0156527</div><span class='bib-kw' style='display:none;'>ZJFRZTCB Q7H5UM3I FCQK6PT6 SHTFSZTC TC3HZ9JR year__2016 venue_short__PLOS ONE type__journalArticle ""</span></div><div class="bib-venue">PLOS ONE</div><div class="bib-venue-short">PLOS ONE</div><div class="blinkitems"><div class="blink"><a >Abstract</a><div class="bibshowhide"><div class="abstract">Much of the data used to measure conflict is extracted from news reports. This is typically accomplished using either expert coders to quantify the relevant information or machine coders to automatically extract data from documents. Although expert coding is costly‚ it produces quality data. Machine coding is fast and inexpensive‚ but the data are noisy. To diminish the severity of this tradeoff‚ we introduce a method for analyzing news documents that uses crowdsourcing‚ supplemented with computational approaches. The new method is tested on documents about Militarized Interstate Disputes‚ and its accuracy ranges between about 68 and 76 percent. This is shown to be a considerable improvement over automated coding‚ and to cost less and be much faster than expert coding.</div></div></div><div class="blink"><a href="http://www.david-reitter.com/pub/dorazio2016conflict.pdf" >PDF</a></div><div class="blink"><a >BIB</a><div class="bibshowhide"><div class="bib">@article{dorazio2016crowdsourcing,
title = {Crowdsourcing the measurement of interstate conflict},
volume = {11},
url = {http://www.david-reitter.com/pub/dorazio2016conflict.pdf},
doi = {10.1371/journal.pone.0156527},
number = {6},
journal = {PLOS ONE},
author = {D'Orazio, Vito and Kenwick, Michael and Lane, Matthew and Palmer, Glenn and Reitter, David},
year = {2016},
pages = {e0156527}
}</div></div></div><div class="blink"><a title="Download RIS/Endnote record" onclick="dwnD('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');return false;">RIS</a></div><span class="Z3988" title="url_ver=Z39.88-2004&ctx_ver=Z39.88-2004&rfr_id=info%3Asid%2Fzotero.org%3A2&rft_id=info%3Adoi%2F10.1371%2Fjournal.pone.0156527&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Crowdsourcing%20the%20measurement%20of%20interstate%20conflict&rft.jtitle=PLOS%20ONE&rft.volume=11&rft.issue=6&rft.aufirst=Vito&rft.aulast=D'Orazio&rft.au=Vito%20D'Orazio&rft.au=Michael%20Kenwick&rft.au=Matthew%20Lane&rft.au=Glenn%20Palmer&rft.au=David%20Reitter&rft.date=2016&rft.pages=e0156527"></span></div></div><div class="bib-item"><div class="bib-details"><div class="csl-entry">Xu, Y., & Reitter, D. (2016). <span class="doctitle"><a class="doctitle" href="http://anthology.aclweb.org/P16-2072">Convergence of Syntactic Complexity in Conversation.</a></span> In <i>Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics</i> (Vol. 2 (Short Papers), pp. 443–448). Berlin, Germany: Association for Computational Linguistics. </div><span class='bib-kw' style='display:none;'>FCQK6PT6 BQUUP5PR Q7H5UM3I ZJFRZTCB year__2016 venue_short__ACL type__archivalConferencePaper ""</span></div><div class="bib-venue">ACL</div><div class="bib-venue-short">ACL</div><div class="blinkitems"><div class="blink"><a >Abstract</a><div class="bibshowhide"><div class="abstract">Using corpus data of spoken dialogue‚ we examine the convergence of syntactic complexity levels between interlocutors in natural conversations‚ as it occurs within spans of topic episodes.
The findings of general convergence in the Switchboard and BNC corpora are compatible with an information-theoretic model of dialogue and with Interactive Alignment Theory.</div></div></div><div class="blink"><a href="http://anthology.aclweb.org/P16-2072" >link</a></div><div class="blink"><a >BIB</a><div class="bibshowhide"><div class="bib">@inproceedings{xu2016convergence,
address = {Berlin, Germany},
title = {Convergence of {Syntactic} {Complexity} in {Conversation}},
volume = {2 (Short Papers)},
url = {http://anthology.aclweb.org/P16-2072},
booktitle = {Proceedings of the 54th {Annual} {Meeting} of the {Association} for {Computational} {Linguistics}},
publisher = {Association for Computational Linguistics},
author = {Xu, Yang and Reitter, David},
year = {2016},
pages = {443--448}
}</div></div></div><div class="blink"><a title="Download RIS/Endnote record" onclick="dwnD('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');return false;">RIS</a></div><span class="Z3988" title="url_ver=Z39.88-2004&ctx_ver=Z39.88-2004&rfr_id=info%3Asid%2Fzotero.org%3A2&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Abook&rft.genre=proceeding&rft.atitle=Convergence%20of%20Syntactic%20Complexity%20in%20Conversation&rft.btitle=Proceedings%20of%20the%2054th%20Annual%20Meeting%20of%20the%20Association%20for%20Computational%20Linguistics&rft.place=Berlin%2C%20Germany&rft.publisher=Association%20for%20Computational%20Linguistics&rft.aufirst=Yang&rft.aulast=Xu&rft.au=Yang%20Xu&rft.au=David%20Reitter&rft.date=2016&rft.pages=443-448&rft.spage=443&rft.epage=448"></span></div></div><div class="bib-item"><div class="bib-details"><div class="csl-entry">Reitter, D., Ghafurian, M., & Grossklags, J. (2016). <span class="doctitle"><i>Systematic, Individual and Situational Biases in Timing Decisions</i>.</span> Oral presentation presented at the International Meeting of the Psychonomic Society, Grenada, Spain.</div><div class="bib-extra">(Psychonomics)</div><span class='bib-kw' style='display:none;'>FCQK6PT6 Q7H5UM3I 4JNMHMPK year__2016 type__presentation ""</span></div><div class="blinkitems"><div class="blink"><a >Abstract</a><div class="bibshowhide"><div class="abstract">We study personal and general biases in timing decisions‚ which concern practically common continuous decisions about when to act when facing external uncertainty and dynamic risk. In a series of experiments using a two-player game called FlipIt‚ we studied the influence of individual difference variables of Risk Propensity (RP) and Need for Cognition (NfC) and of manipulations that induce impatience. Participants make several timing decisions per round‚ which aim to counteract the hidden actions made by an opponent. The opponent’s actions become visible only after the participant’s choices have been made. Earlier actions are riskier‚ but a rational time point‚ maximizing utility‚ can be defined. Two experiments were run with a total of 450 participants from a general population that were compensated to incentivize maximizing payoff. RP and NfC were obtained with standardized instruments. Participants with RP around the population average benefitted from higher NfC levels (p<0.01). We also found a general impatience bias that advanced timing independent of RP. With increasing task experience‚ models of linear impatience become better predictors of timing bias than risk-dependent ones. In a further experiment with 422 participants‚ impatience was manipulated by showing slow or fast-changing countdowns during a constant delay period. Timing (vs. rational strategy) was retarded or advanced‚ with fast countdowns reducing impatience (p<0.01) and accelerating countdowns yielding closer-to-rational performance even than the control (no delay at all). We conclude that timing decisions are affected by interacting risk and deep-processing preferences as well as situational impatience biases.</div></div></div><div class="blink"><a >BIB</a><div class="bibshowhide"><div class="bib">@misc{reitter2016systematic,
address = {Grenada, Spain},
type = {oral presentation},
title = {Systematic, {Individual} and {Situational} {Biases} in {Timing} {Decisions}},
author = {Reitter, David and Ghafurian, Moojan and Grossklags, Jens},
year = {2016},
note = {(Psychonomics)}
}</div></div></div><div class="blink"><a title="Download RIS/Endnote record" onclick="dwnD('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');return false;">RIS</a></div></div></div><div class="bib-item"><div class="bib-details"><div class="csl-entry">Ghafurian, M., & Reitter, D. (2016). <span class="doctitle"><a class="doctitle" href="http://www.david-reitter.com/pub/ghafurian2016DIS.pdf">Impatience induced by waiting: An effect moderated by the speed of countdowns.</a></span> In <i>Proceedings of the 2016 ACM Conference on Designing Interactive Systems</i>. Brisbane, Australia: ACM. </div><span class='bib-kw' style='display:none;'>FCQK6PT6 Q7H5UM3I 4JNMHMPK year__2016 venue_short__DIS type__archivalConferencePaper ""</span></div><div class="bib-venue">DIS</div><div class="bib-venue-short">DIS</div><div class="blinkitems"><div class="blink"><a >Abstract</a><div class="bibshowhide"><div class="abstract">Countdowns and progress bars provide computer users with estimates of remaining wait times. These types of feedback are intended to manage their expectations and allow users to direct attention elsewhere. We suggest that they also moderate user’s impatience‚ which affects decision-making in the subsequent task. In an experiment with 421 participants‚ impatience in a timing decision task was effectively and systematically manip- ulated through a countdown‚ as it affected timing and performance of the user’s actions in the task. The effect persisted even after users gained task experience. More rapid countdowns reduced impatience. Post-hoc analysis also showed increased task satisfaction with rising countdown speed and suggested greater task satisfaction with a rapid countdown than with no waiting period at all.</div></div></div><div class="blink"><a href="http://www.david-reitter.com/pub/ghafurian2016DIS.pdf" >PDF</a></div><div class="blink"><a >BIB</a><div class="bibshowhide"><div class="bib">@inproceedings{ghafurian2016impatience,
address = {Brisbane, Australia},
title = {Impatience induced by waiting: {An} effect moderated by the speed of countdowns},
url = {http://www.david-reitter.com/pub/ghafurian2016DIS.pdf},
booktitle = {Proceedings of the 2016 {ACM} {Conference} on {Designing} {Interactive} {Systems}},
publisher = {ACM},
author = {Ghafurian, Moojan and Reitter, David},
year = {2016}
}</div></div></div><div class="blink"><a title="Download RIS/Endnote record" onclick="dwnD('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');return false;">RIS</a></div><span class="Z3988" title="url_ver=Z39.88-2004&ctx_ver=Z39.88-2004&rfr_id=info%3Asid%2Fzotero.org%3A2&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Abook&rft.genre=proceeding&rft.atitle=Impatience%20induced%20by%20waiting%3A%20An%20effect%20moderated%20by%20the%20speed%20of%20countdowns&rft.btitle=Proceedings%20of%20the%202016%20ACM%20Conference%20on%20Designing%20Interactive%20Systems&rft.place=Brisbane%2C%20Australia&rft.publisher=ACM&rft.aufirst=Moojan&rft.aulast=Ghafurian&rft.au=Moojan%20Ghafurian&rft.au=David%20Reitter&rft.date=2016"></span></div></div><div class="bib-item"><div class="bib-details"><div class="csl-entry">Ghafurian, M., & Reitter, D. (2016). <span class="doctitle"><a class="doctitle" href="http://www.david-reitter.com/pub/ghafurian2016cogsci.pdf">Gender differences in the effect of impatience on men and women’s timing decisions.</a></span> In <i>Proceedings of the 38th Annual Meeting of the Cognitive Science</i> (pp. 1223–1228). Philadelphia, PA: Cognitive Science Society. </div><span class='bib-kw' style='display:none;'>FCQK6PT6 Q7H5UM3I 4JNMHMPK year__2016 venue_short__CogSci type__conferencePaper ""</span></div><div class="bib-venue">CogSci</div><div class="bib-venue-short">CogSci</div><div class="blinkitems"><div class="blink"><a >Abstract</a><div class="bibshowhide"><div class="abstract">Decisions over the timing of actions are critical in several safety‚ security and healthcare scenarios. These decisions‚ sim- ilar to discrete decisions‚ can be influenced by biases and individual traits. In this paper‚ a bias of impatience is studied in an experiment with 626 participants‚ with a focus on gender differences. Impatience was moderated with a manipula- tion of a variable-speed countdown. Men and women differed in how they expressed impatience. While men systematically and irrationally act earlier when become impatient following the slower countdowns‚ women react by irrationally requesting earlier information about the outcome of each trial‚ and impulsively pressing an inactive key.</div></div></div><div class="blink"><a href="http://www.david-reitter.com/pub/ghafurian2016cogsci.pdf" >PDF</a></div><div class="blink"><a >BIB</a><div class="bibshowhide"><div class="bib">@inproceedings{ghafurian2016gender,
address = {Philadelphia, PA},
title = {Gender differences in the effect of impatience on men and women's timing decisions},
url = {http://www.david-reitter.com/pub/ghafurian2016cogsci.pdf},
booktitle = {Proceedings of the 38th {Annual} {Meeting} of the {Cognitive} {Science}},
publisher = {Cognitive Science Society},
author = {Ghafurian, Moojan and Reitter, David},
year = {2016},
pages = {1223--1228}
}</div></div></div><div class="blink"><a title="Download RIS/Endnote record" onclick="dwnD('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');return false;">RIS</a></div><span class="Z3988" title="url_ver=Z39.88-2004&ctx_ver=Z39.88-2004&rfr_id=info%3Asid%2Fzotero.org%3A2&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Abook&rft.genre=proceeding&rft.atitle=Gender%20differences%20in%20the%20effect%20of%20impatience%20on%20men%20and%20women's%20timing%20decisions&rft.btitle=Proceedings%20of%20the%2038th%20Annual%20Meeting%20of%20the%20Cognitive%20Science&rft.place=Philadelphia%2C%20PA&rft.publisher=Cognitive%20Science%20Society&rft.aufirst=Moojan&rft.aulast=Ghafurian&rft.au=Moojan%20Ghafurian&rft.au=David%20Reitter&rft.date=2016&rft.pages=1223-1228&rft.spage=1223&rft.epage=1228"></span></div></div><div class="bib-item"><div class="bib-details"><div class="csl-entry">Xu, K. S., Reitter, D., Lee, D., & Osgood, N. (Eds.). (2016). <span class="doctitle"><a class="doctitle" href="https://link.springer.com/book/10.1007/978-3-319-39931-7"><i>Social, Cultural, and Behavioral Modeling. 9th International Conference, SBP-BRiMS 2016</i>.</a></span> Switzerland: Springer. </div><div class="bib-extra">doi://10.1007/978-3-319-39931-7</div><span class='bib-kw' style='display:none;'>FCQK6PT6 Q7H5UM3I SHTFSZTC year__2016 venue_short__SBP-BRiMS type__edited-volume ""</span></div><div class="bib-venue-short">SBP-BRiMS</div><div class="blinkitems"><div class="blink"><a href="https://link.springer.com/book/10.1007/978-3-319-39931-7" >link</a></div><div class="blink"><a >BIB</a><div class="bibshowhide"><div class="bib">@book{xu2016social,
address = {Switzerland},
series = {{LNCS}},
title = {Social, {Cultural}, and {Behavioral} {Modeling}. 9th {International} {Conference}, {SBP}-{BRiMS} 2016},
shorttitle = {{SBP}-{BRiMS}},
url = {https://link.springer.com/book/10.1007/978-3-319-39931-7},
number = {9708},
publisher = {Springer},
editor = {Xu, Kevin S. and Reitter, David and Lee, Dongwon and Osgood, Nathaniel},
year = {2016},
note = {doi://10.1007/978-3-319-39931-7}
}</div></div></div><div class="blink"><a title="Download RIS/Endnote record" onclick="dwnD('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');return false;">RIS</a></div><span class="Z3988" title="url_ver=Z39.88-2004&ctx_ver=Z39.88-2004&rfr_id=info%3Asid%2Fzotero.org%3A2&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Abook&rft.genre=book&rft.btitle=Social%2C%20Cultural%2C%20and%20Behavioral%20Modeling.%209th%20International%20Conference%2C%20SBP-BRiMS%202016&rft.place=Switzerland&rft.publisher=Springer&rft.series=LNCS&rft.aufirst=Kevin%20S.&rft.aulast=Xu&rft.au=Kevin%20S.%20Xu&rft.au=David%20Reitter&rft.au=Dongwon%20Lee&rft.au=Nathaniel%20Osgood&rft.date=2016"></span></div></div><div class="bib-item"><div class="bib-details"><div class="csl-entry">Cole, J., Xu, Y., & Reitter, D. (2016). <span class="doctitle"><a class="doctitle" href="http://www.david-reitter.com/pub/cole2016armedconflicts.pdf">How people talk about armed conflicts: An analysis of Reddit data.</a></span> In <i>Social, Cultural, and Behavioral Modeling</i> (pp. 366–376). Washington, D.C.: Springer. https://doi.org/10.1007/978-3-319-39931-7_35</div><span class='bib-kw' style='display:none;'>FCQK6PT6 Q7H5UM3I SHTFSZTC year__2016 venue_short__SBP-BRiMS type__archivalConferencePaper ""</span></div><div class="bib-venue">SBP-BRiMS</div><div class="bib-venue-short">SBP-BRiMS</div><div class="blinkitems"><div class="blink"><a >Abstract</a><div class="bibshowhide"><div class="abstract">Armed conflicts around the world produce displacement‚ in- jury‚ and death. This study examines how anonymous and pseudony- mous Internet commenters discuss such conflicts. Specifically‚ we ask how permissible it is to express positive or negative sentiments about these conflicts as a function of variables including region‚ conflict nature‚ and severity. Data from the Armed Conflicts Database is aggregated to identify a number of potential factors that may influence views on ac- ceptable sentiments. A large-scale sample of the Reddit comment forum was coded for positive and negative sentiments using sentiment analy- sis techniques. Permissibility is judged using the Reddit voting features. Regressions reveal that positive sentiments are found not permissible for higher numbers of fatalities‚ and that negative sentiments are found permissible for certain regions‚ more permissible for older conflicts‚ and less permissible for territorial conflicts. A number of alternative‚ non- correlated predictors are presented.</div></div></div><div class="blink"><a href="http://www.david-reitter.com/pub/cole2016armedconflicts.pdf" >PDF</a></div><div class="blink"><a >BIB</a><div class="bibshowhide"><div class="bib">@inproceedings{cole2016how,
address = {Washington, D.C.},
series = {{LNCS} 9708},
title = {How people talk about armed conflicts: {An} analysis of {Reddit} data},
url = {http://www.david-reitter.com/pub/cole2016armedconflicts.pdf},
doi = {10.1007/978-3-319-39931-7_35},
booktitle = {Social, {Cultural}, and {Behavioral} {Modeling}},
publisher = {Springer},
author = {Cole, Jeremy and Xu, Ying and Reitter, David},
year = {2016},
pages = {366--376}
}</div></div></div><div class="blink"><a title="Download RIS/Endnote record" onclick="dwnD('VFkgIC0gQ09ORg0KVEkgIC0gSG93IHBlb3BsZSB0YWxrIGFib3V0IGFybWVkIGNvbmZsaWN0czogQW4gYW5hbHlzaXMgb2YgUmVkZGl0IGRhdGENCkFVICAtIENvbGUsIEplcmVteQ0KQVUgIC0gWHUsIFlpbmcNCkFVICAtIFJlaXR0ZXIsIERhdmlkDQpUMiAgLSBTQlAtQlJpTVMNClQzICAtIExOQ1MgOTcwOA0KQUIgIC0gQXJtZWQgY29uZmxpY3RzIGFyb3VuZCB0aGUgd29ybGQgcHJvZHVjZSBkaXNwbGFjZW1lbnQsIGluLSBqdXJ5LCBhbmQgZGVhdGguIFRoaXMgc3R1ZHkgZXhhbWluZXMgaG93IGFub255bW91cyBhbmQgcHNldWRvbnktIG1vdXMgSW50ZXJuZXQgY29tbWVudGVycyBkaXNjdXNzIHN1Y2ggY29uZmxpY3RzLiBTcGVjaWZpY2FsbHksIHdlIGFzayBob3cgcGVybWlzc2libGUgaXQgaXMgdG8gZXhwcmVzcyBwb3NpdGl2ZSBvciBuZWdhdGl2ZSBzZW50aW1lbnRzIGFib3V0IHRoZXNlIGNvbmZsaWN0cyBhcyBhIGZ1bmN0aW9uIG9mIHZhcmlhYmxlcyBpbmNsdWRpbmcgcmVnaW9uLCBjb25mbGljdCBuYXR1cmUsIGFuZCBzZXZlcml0eS4gRGF0YSBmcm9tIHRoZSBBcm1lZCBDb25mbGljdHMgRGF0YWJhc2UgaXMgYWdncmVnYXRlZCB0byBpZGVudGlmeSBhIG51bWJlciBvZiBwb3RlbnRpYWwgZmFjdG9ycyB0aGF0IG1heSBpbmZsdWVuY2Ugdmlld3Mgb24gYWMtIGNlcHRhYmxlIHNlbnRpbWVudHMuIEEgbGFyZ2Utc2NhbGUgc2FtcGxlIG9mIHRoZSBSZWRkaXQgY29tbWVudCBmb3J1bSB3YXMgY29kZWQgZm9yIHBvc2l0aXZlIGFuZCBuZWdhdGl2ZSBzZW50aW1lbnRzIHVzaW5nIHNlbnRpbWVudCBhbmFseS0gc2lzIHRlY2huaXF1ZXMuIFBlcm1pc3NpYmlsaXR5IGlzIGp1ZGdlZCB1c2luZyB0aGUgUmVkZGl0IHZvdGluZyBmZWF0dXJlcy4gUmVncmVzc2lvbnMgcmV2ZWFsIHRoYXQgcG9zaXRpdmUgc2VudGltZW50cyBhcmUgZm91bmQgbm90IHBlcm1pc3NpYmxlIGZvciBoaWdoZXIgbnVtYmVycyBvZiBmYXRhbGl0aWVzLCBhbmQgdGhhdCBuZWdhdGl2ZSBzZW50aW1lbnRzIGFyZSBmb3VuZCBwZXJtaXNzaWJsZSBmb3IgY2VydGFpbiByZWdpb25zLCBtb3JlIHBlcm1pc3NpYmxlIGZvciBvbGRlciBjb25mbGljdHMsIGFuZCBsZXNzIHBlcm1pc3NpYmxlIGZvciB0ZXJyaXRvcmlhbCBjb25mbGljdHMuIEEgbnVtYmVyIG9mIGFsdGVybmF0aXZlLCBub24tIGNvcnJlbGF0ZWQgcHJlZGljdG9ycyBhcmUgcHJlc2VudGVkLg0KQzEgIC0gV2FzaGluZ3RvbiwgRC5DLg0KQzMgIC0gU29jaWFsLCBDdWx0dXJhbCwgYW5kIEJlaGF2aW9yYWwgTW9kZWxpbmcNCkRBICAtIDIwMTYvLy8NClBZICAtIDIwMTYNCkRPICAtIDEwLjEwMDcvOTc4LTMtMzE5LTM5OTMxLTdfMzUNCkRQICAtIGFyY2hpdmFsQ29uZmVyZW5jZVBhcGVyDQpTUCAgLSAzNjYNCkVQICAtIDM3Ng0KUEIgIC0gU3ByaW5nZXINClVSICAtIGh0dHA6Ly93d3cuZGF2aWQtcmVpdHRlci5jb20vcHViL2NvbGUyMDE2YXJtZWRjb25mbGljdHMucGRmDQpFUiAgLQ==');return false;">RIS</a></div><span class="Z3988" title="url_ver=Z39.88-2004&ctx_ver=Z39.88-2004&rfr_id=info%3Asid%2Fzotero.org%3A2&rft_id=info%3Adoi%2F10.1007%2F978-3-319-39931-7_35&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Abook&rft.genre=proceeding&rft.atitle=How%20people%20talk%20about%20armed%20conflicts%3A%20An%20analysis%20of%20Reddit%20data&rft.btitle=Social%2C%20Cultural%2C%20and%20Behavioral%20Modeling&rft.place=Washington%2C%20D.C.&rft.publisher=Springer&rft.series=LNCS%209708&rft.aufirst=Jeremy&rft.aulast=Cole&rft.au=Jeremy%20Cole&rft.au=Ying%20Xu&rft.au=David%20Reitter&rft.date=2016&rft.pages=366-376&rft.spage=366&rft.epage=376"></span></div></div><div class="bib-item"><div class="bib-details"><div class="csl-entry">Reitter, D., & Ritter, F. E. (Eds.). (2016). <span class="doctitle"><i>Proceedings of ICCM 2016: 14th International Conference on Cognitive Modeling</i>.</span> University Park, PA: Penn State.</div><span class='bib-kw' style='display:none;'>FCQK6PT6 Q7H5UM3I 3E52UEVV year__2016 venue_short__ICCM type__edited-volume ""</span></div><div class="bib-venue-short">ICCM</div><div class="blinkitems"><div class="blink"><a >BIB</a><div class="bibshowhide"><div class="bib">@book{reitter2016proceedings,
address = {University Park, PA},
title = {Proceedings of {ICCM} 2016: 14th {International} {Conference} on {Cognitive} {Modeling}},
shorttitle = {{ICCM}},
publisher = {Penn State},
editor = {Reitter, David and Ritter, Frank E.},
year = {2016}
}</div></div></div><div class="blink"><a title="Download RIS/Endnote record" onclick="dwnD('VFkgIC0gQk9PSw0KVEkgIC0gUHJvY2VlZGluZ3Mgb2YgSUNDTSAyMDE2OiAxNHRoIEludGVybmF0aW9uYWwgQ29uZmVyZW5jZSBvbiBDb2duaXRpdmUgTW9kZWxpbmcNCkEzICAtIFJlaXR0ZXIsIERhdmlkDQpBMyAgLSBSaXR0ZXIsIEZyYW5rIEUuDQpDWSAgLSBVbml2ZXJzaXR5IFBhcmssIFBBDQpEQSAgLSAyMDE2Ly8vDQpQWSAgLSAyMDE2DQpEUCAgLSBlZGl0ZWQtdm9sdW1lDQpQQiAgLSBQZW5uIFN0YXRlDQpTVCAgLSBJQ0NNDQpFUiAgLQ==');return false;">RIS</a></div><span class="Z3988" title="url_ver=Z39.88-2004&ctx_ver=Z39.88-2004&rfr_id=info%3Asid%2Fzotero.org%3A2&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Abook&rft.genre=book&rft.btitle=Proceedings%20of%20ICCM%202016%3A%2014th%20International%20Conference%20on%20Cognitive%20Modeling&rft.place=University%20Park%2C%20PA&rft.publisher=Penn%20State&rft.aufirst=David&rft.aulast=Reitter&rft.au=David%20Reitter&rft.au=Frank%20E.%20Ritter&rft.date=2016"></span></div></div><div class="bib-item"><div class="bib-details"><div class="csl-entry">Cole, J., Reitter, D., & Liu, Y. (2016). <span class="doctitle"><i>Symmetry features and group hierarchy model human symmetry perception</i>.</span> Poster presentation presented at the International Meeting of Psychonomic Society, Grenada, Spain.</div><div class="bib-extra">(Psychonomics)</div><span class='bib-kw' style='display:none;'>FCQK6PT6 Q7H5UM3I 3E52UEVV year__2016 type__presentation ""</span></div><div class="blinkitems"><div class="blink"><a >BIB</a><div class="bibshowhide"><div class="bib">@misc{cole2016symmetry,
address = {Grenada, Spain},
type = {Poster presentation},
title = {Symmetry features and group hierarchy model human symmetry perception},
author = {Cole, Jeremy and Reitter, David and Liu, Yanxi},
year = {2016},
note = {(Psychonomics)}
}</div></div></div><div class="blink"><a title="Download RIS/Endnote record" onclick="dwnD('VFkgIC0gU0xJREUNClRJICAtIFN5bW1ldHJ5IGZlYXR1cmVzIGFuZCBncm91cCBoaWVyYXJjaHkgbW9kZWwgaHVtYW4gc3ltbWV0cnkgcGVyY2VwdGlvbg0KVDIgIC0gSW50ZXJuYXRpb25hbCBNZWV0aW5nIG9mIFBzeWNob25vbWljIFNvY2lldHkNCkEyICAtIENvbGUsIEplcmVteQ0KQTIgIC0gUmVpdHRlciwgRGF2aWQNCkEyICAtIExpdSwgWWFueGkNCkNZICAtIEdyZW5hZGEsIFNwYWluDQpEQSAgLSAyMDE2Ly8vDQpQWSAgLSAyMDE2DQpNMyAgLSBQb3N0ZXIgcHJlc2VudGF0aW9uDQpFUiAgLQ==');return false;">RIS</a></div></div></div><div class="bib-item"><div class="bib-details"><div class="csl-entry">Liu, Y., Cole, J., & Reitter, D. (2016). <span class="doctitle"><i>Human Visual Perception of the 17 Wallpaper-Group Patterns using Timed Trials</i>.</span> Oral presentation presented at the Vision Sciences Society Sixteenth Annual Meeting (VSS), Florida.</div><span class='bib-kw' style='display:none;'>FCQK6PT6 Q7H5UM3I 3E52UEVV year__2016 venue_short__VSS type__presentation ""</span></div><div class="bib-venue-short">VSS</div><div class="blinkitems"><div class="blink"><a >Abstract</a><div class="bibshowhide"><div class="abstract">Most literature on symmetry perception has focused on bilateral reflection symmetry‚ with some suggesting that it is the only type of symmetry humans can perceive (Wilson&Wilkinson‚ Vis. Res. 42(5)‚ 2002). Using image-stimuli generated from mathematically well-defined 17 wallpaper groups (Kohler et al.‚ J. Neurosci.‚ in press) and timed trials‚ we seek to demonstrate that humans can discriminate various symmetries found in 2D wallpaper patterns (Liu‚ et al Found.&Trends in Comp.Graph.&Vis.‚ 2010). Furthermore‚ we examine which features play an essential role in wallpaper pattern perception. The features include: reflection‚ maximum order of rotation‚ glide reflection‚ tile shape and subgroup distance‚ referring to the shortest path between the two wallpaper groups in the group hierarchy. We recruited 106 individuals (Amazon Mechanical Turks) to compare three images (target‚ probe‚ probe) and to choose the probe most similar to the target within five seconds. Each participant performed 272 (=17x16) trials. Participants compare among all possible wallpaper group pairs. Every group comparison except one is distinguishable (p< 0.05); all are likely distinguishable (p< 0.10). After modeling every defining feature of symmetry groups using linear mixed-effects regression (GLMM)‚ we used AIC selection to compare models. Our selected model includs subgroup distance‚ 3-fold rotation‚ 4-fold rotation‚ and the T1 and D1 axes. Even in a model with all other features‚ subgroup distance is a significant additional predictor (p< 0.0001). This distance measure has shown to be a better proxy describing human perceptual processes than individual features. This suggests that the mathematically motivated symmetry group hierarchy may be a valid model of pattern perception.</div></div></div><div class="blink"><a >BIB</a><div class="bibshowhide"><div class="bib">@misc{liu2016human,
address = {Florida},
type = {oral presentation},
title = {Human {Visual} {Perception} of the 17 {Wallpaper}-{Group} {Patterns} using {Timed} {Trials}},
author = {Liu, Yanxi and Cole, Jeremy and Reitter, David},
year = {2016}
}</div></div></div><div class="blink"><a title="Download RIS/Endnote record" onclick="dwnD('VFkgIC0gU0xJREUNClRJICAtIEh1bWFuIFZpc3VhbCBQZXJjZXB0aW9uIG9mIHRoZSAxNyBXYWxscGFwZXItR3JvdXAgUGF0dGVybnMgdXNpbmcgVGltZWQgVHJpYWxzDQpUMiAgLSBWaXNpb24gU2NpZW5jZXMgU29jaWV0eSBTaXh0ZWVudGggQW5udWFsIE1lZXRpbmcgKFZTUykNCkEyICAtIExpdSwgWWFueGkNCkEyICAtIENvbGUsIEplcmVteQ0KQTIgIC0gUmVpdHRlciwgRGF2aWQNCkFCICAtIE1vc3QgbGl0ZXJhdHVyZSBvbiBzeW1tZXRyeSBwZXJjZXB0aW9uIGhhcyBmb2N1c2VkIG9uIGJpbGF0ZXJhbCByZWZsZWN0aW9uIHN5bW1ldHJ5LCB3aXRoIHNvbWUgc3VnZ2VzdGluZyB0aGF0IGl0IGlzIHRoZSBvbmx5IHR5cGUgb2Ygc3ltbWV0cnkgaHVtYW5zIGNhbiBwZXJjZWl2ZSAoV2lsc29uJldpbGtpbnNvbiwgVmlzLiBSZXMuIDQyKDUpLCAyMDAyKS4gVXNpbmcgaW1hZ2Utc3RpbXVsaSBnZW5lcmF0ZWQgZnJvbSBtYXRoZW1hdGljYWxseSB3ZWxsLWRlZmluZWQgMTcgd2FsbHBhcGVyIGdyb3VwcyAoS29obGVyIGV0IGFsLiwgSi4gTmV1cm9zY2kuLCBpbiBwcmVzcykgYW5kIHRpbWVkIHRyaWFscywgd2Ugc2VlayB0byBkZW1vbnN0cmF0ZSB0aGF0IGh1bWFucyBjYW4gZGlzY3JpbWluYXRlIHZhcmlvdXMgc3ltbWV0cmllcyBmb3VuZCBpbiAyRCB3YWxscGFwZXIgcGF0dGVybnMgKExpdSwgZXQgYWwgRm91bmQuJlRyZW5kcyBpbiBDb21wLkdyYXBoLiZWaXMuLCAyMDEwKS4gRnVydGhlcm1vcmUsIHdlIGV4YW1pbmUgd2hpY2ggZmVhdHVyZXMgcGxheSBhbiBlc3NlbnRpYWwgcm9sZSBpbiB3YWxscGFwZXIgcGF0dGVybiBwZXJjZXB0aW9uLiBUaGUgZmVhdHVyZXMgaW5jbHVkZTogIHJlZmxlY3Rpb24sIG1heGltdW0gb3JkZXIgb2Ygcm90YXRpb24sIGdsaWRlIHJlZmxlY3Rpb24sIHRpbGUgc2hhcGUgYW5kIHN1Ymdyb3VwIGRpc3RhbmNlLCByZWZlcnJpbmcgdG8gdGhlIHNob3J0ZXN0IHBhdGggYmV0d2VlbiB0aGUgdHdvIHdhbGxwYXBlciBncm91cHMgaW4gdGhlIGdyb3VwIGhpZXJhcmNoeS4gV2UgcmVjcnVpdGVkIDEwNiBpbmRpdmlkdWFscyAoQW1hem9uIE1lY2hhbmljYWwgVHVya3MpIHRvIGNvbXBhcmUgdGhyZWUgaW1hZ2VzICh0YXJnZXQsIHByb2JlLCBwcm9iZSkgYW5kIHRvIGNob29zZSB0aGUgcHJvYmUgbW9zdCBzaW1pbGFyIHRvIHRoZSB0YXJnZXQgd2l0aGluIGZpdmUgc2Vjb25kcy4gRWFjaCBwYXJ0aWNpcGFudCBwZXJmb3JtZWQgMjcyICg9MTd4MTYpIHRyaWFscy4gUGFydGljaXBhbnRzIGNvbXBhcmUgYW1vbmcgYWxsIHBvc3NpYmxlIHdhbGxwYXBlciBncm91cCBwYWlycy4gRXZlcnkgZ3JvdXAgY29tcGFyaXNvbiBleGNlcHQgb25lIGlzIGRpc3Rpbmd1aXNoYWJsZSAocDwgMC4wNSk7IGFsbCBhcmUgbGlrZWx5IGRpc3Rpbmd1aXNoYWJsZSAocDwgMC4xMCkuIEFmdGVyIG1vZGVsaW5nIGV2ZXJ5IGRlZmluaW5nIGZlYXR1cmUgb2Ygc3ltbWV0cnkgZ3JvdXBzIHVzaW5nIGxpbmVhciBtaXhlZC1lZmZlY3RzIHJlZ3Jlc3Npb24gKEdMTU0pLCB3ZSB1c2VkIEFJQyBzZWxlY3Rpb24gdG8gY29tcGFyZSBtb2RlbHMuIE91ciBzZWxlY3RlZCBtb2RlbCBpbmNsdWRzIHN1Ymdyb3VwIGRpc3RhbmNlLCAzLWZvbGQgcm90YXRpb24sIDQtZm9sZCByb3RhdGlvbiwgYW5kIHRoZSBUMSBhbmQgRDEgYXhlcy4gRXZlbiBpbiBhIG1vZGVsIHdpdGggYWxsIG90aGVyIGZlYXR1cmVzLCBzdWJncm91cCBkaXN0YW5jZSBpcyBhIHNpZ25pZmljYW50IGFkZGl0aW9uYWwgcHJlZGljdG9yIChwPCAwLjAwMDEpLiBUaGlzIGRpc3RhbmNlIG1lYXN1cmUgaGFzIHNob3duIHRvIGJlIGEgYmV0dGVyIHByb3h5IGRlc2NyaWJpbmcgaHVtYW4gcGVyY2VwdHVhbCBwcm9jZXNzZXMgdGhhbiBpbmRpdmlkdWFsIGZlYXR1cmVzLiBUaGlzIHN1Z2dlc3RzIHRoYXQgdGhlIG1hdGhlbWF0aWNhbGx5IG1vdGl2YXRlZCBzeW1tZXRyeSBncm91cCBoaWVyYXJjaHkgbWF5IGJlIGEgdmFsaWQgbW9kZWwgb2YgcGF0dGVybiBwZXJjZXB0aW9uLg0KQ1kgIC0gRmxvcmlkYQ0KREEgIC0gMjAxNi8vLw0KUFkgIC0gMjAxNg0KTTMgIC0gb3JhbCBwcmVzZW50YXRpb24NCkVSICAt');return false;">RIS</a></div></div></div><div class="bib-item"><div class="bib-details"><div class="csl-entry">Kennedy, W. G., St. Amant, R., & Reitter, D. (2016). <span class="doctitle"><a class="doctitle" href="http://link.springer.com/article/10.1007/s10588-015-9194-9">Behavior representation in modeling and simulation: introduction to CMOT special issue: BRiMS 2013.</a></span> <i>Computational and Mathematical Organization Theory</i>, <i>22</i>(1), 1–3. </div><span class='bib-kw' style='display:none;'>FCQK6PT6 Q7H5UM3I 3E52UEVV year__2016 venue_short__CMOT type__edited-volume ""</span></div><div class="bib-venue">Computational and Mathematical Organization Theory</div><div class="bib-venue-short">CMOT</div><div class="blinkitems"><div class="blink"><a href="http://link.springer.com/article/10.1007/s10588-015-9194-9" >link</a></div><div class="blink"><a >BIB</a><div class="bibshowhide"><div class="bib">@article{kennedy2016behavior,
title = {Behavior representation in modeling and simulation: introduction to {CMOT} special issue: {BRiMS} 2013},
volume = {22},
url = {http://link.springer.com/article/10.1007/s10588-015-9194-9},
number = {1},
journal = {Computational and Mathematical Organization Theory},
author = {Kennedy, William G. and St. Amant, Robert and Reitter, David},
year = {2016},
pages = {1--3}
}</div></div></div><div class="blink"><a title="Download RIS/Endnote record" onclick="dwnD('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');return false;">RIS</a></div><span class="Z3988" title="url_ver=Z39.88-2004&ctx_ver=Z39.88-2004&rfr_id=info%3Asid%2Fzotero.org%3A2&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Behavior%20representation%20in%20modeling%20and%20simulation%3A%20introduction%20to%20CMOT%20special%20issue%3A%20BRiMS%202013&rft.jtitle=Computational%20and%20Mathematical%20Organization%20Theory&rft.stitle=CMOT&rft.volume=22&rft.issue=1&rft.aufirst=William%20G.&rft.aulast=Kennedy&rft.au=William%20G.%20Kennedy&rft.au=Robert%20St.%20Amant&rft.au=David%20Reitter&rft.date=2016&rft.pages=1-3&rft.spage=1&rft.epage=3"></span></div></div></div><div class="full-bib-section"><a id='2015' style='{display: block; position: relative; top: -150px; visibility: hidden;}'></a><h2 class="collectiontitle">2015</h2>
<div class="bib-item"><div class="bib-details"><div class="csl-entry">Paik, J., Kim, J. W., Ritter, F. E., & Reitter, D. (2015). <span class="doctitle"><a class="doctitle" href="http://www.david-reitter.com/pub/paikKRR15.pdf">Predicting user performance and learning in human-computer interaction with the Herbal compiler.</a></span> <i>ACM Transactions on Computer-Human Interaction</i>, <i>22</i>(5), Article No. 25. https://doi.org/10.1145/2776891</div><span class='bib-kw' style='display:none;'>FCQK6PT6 3E52UEVV Q7H5UM3I ZJFRZTCB year__2015 venue_short__ACM ToCHI type__journalArticle ""</span></div><div class="bib-venue">ACM Transactions on Computer-Human Interaction</div><div class="bib-venue-short">ACM ToCHI</div><div class="blinkitems"><div class="blink"><a >Abstract</a><div class="bibshowhide"><div class="abstract">We report a way to build a series of GOMS-like cognitive user models representing a range of performance at different stages of learning. We use a spreadsheet task across multiple sessions as an example task; it takes about 20–30 min. to perform. The models were created in ACT-R using a compiler. The novice model has 29 rules and 1‚152 declarative memory task elements (chunks)—it learns to create procedural knowledge to perform the task. The expert model has 617 rules and 614 task chunks (that it does not use) and 538 command string chunks—it gets slightly faster through limited declarative learning of the command strings and some further production compilation; there are a range of intermediate models. These models were tested against aggregate and individual human learning data‚ confirming the models’ predictions. This work suggests that user models can be created that learn like users while doing the task.</div></div></div><div class="blink"><a href="http://www.david-reitter.com/pub/paikKRR15.pdf" >PDF</a></div><div class="blink"><a >BIB</a><div class="bibshowhide"><div class="bib">@article{paik2015predicting,
title = {Predicting user performance and learning in human-computer interaction with the {Herbal} compiler},
volume = {22},
url = {http://www.david-reitter.com/pub/paikKRR15.pdf},
doi = {10.1145/2776891},
number = {5},
journal = {ACM Transactions on Computer-Human Interaction},
author = {Paik, Jaehyon and Kim, Jong W. and Ritter, Frank E. and Reitter, David},
year = {2015},
pages = {Article No. 25}
}</div></div></div><div class="blink"><a title="Download RIS/Endnote record" onclick="dwnD('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');return false;">RIS</a></div><span class="Z3988" title="url_ver=Z39.88-2004&ctx_ver=Z39.88-2004&rfr_id=info%3Asid%2Fzotero.org%3A2&rft_id=info%3Adoi%2F10.1145%2F2776891&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Predicting%20user%20performance%20and%20learning%20in%20human-computer%20interaction%20with%20the%20Herbal%20compiler&rft.jtitle=ACM%20Transactions%20on%20Computer-Human%20Interaction&rft.stitle=ACM%20ToCHI&rft.volume=22&rft.issue=5&rft.aufirst=Jaehyon&rft.aulast=Paik&rft.au=Jaehyon%20Paik&rft.au=Jong%20W.%20Kim&rft.au=Frank%20E.%20Ritter&rft.au=David%20Reitter&rft.date=2015&rft.pages=Article%20No.%2025"></span></div></div><div class="bib-item"><div class="bib-details"><div class="csl-entry">Ororbia II, A. G., Reitter, D., Wu, J., & Giles, C. L. (2015). <span class="doctitle"><a class="doctitle" href="http://www.david-reitter.com/pub/ororbia_deep_hybrid_ecml_2015.pdf">Online learning of deep hybrid architectures for semi-supervised categorization.</a></span> In <i>Machine Learning and Knowledge Discovery in Databases (Proceedings, ECML PKDD 2015)</i> (Vol. 9284, pp. 516–532). Porto, Portugal: Springer. </div><span class='bib-kw' style='display:none;'>FCQK6PT6 Q7H5UM3I D886I5TI ZJFRZTCB year__2015 venue_short__ECML PKDD type__archivalConferencePaper ""</span></div><div class="bib-venue">ECML PKDD</div><div class="bib-venue-short">ECML PKDD</div><div class="blinkitems"><div class="blink"><a >Abstract</a><div class="bibshowhide"><div class="abstract">A hybrid architecture is presented capable of online learning from both labeled and unlabeled samples. It combines both generative and discriminative objectives to derive a new variant of the Deep Belief Network‚ i.e.‚ the Stacked Boltzmann Experts Network model. The model’s training algorithm is built on principles developed from hybrid discriminative Boltzmann machines and composes deep architectures in a greedy fashion. It makes use of its inherent “layer-wise ensemble" nature to perform useful classification work. We (1) compare this architecture against a hybrid Denoising Auto-encoder version of itself as well as several other models and (2) investigate training in the context of an incremental learning procedure. The best-performing hybrid model‚ the Stacked Boltzmann Experts Network‚ consistently outperforms all others.</div></div></div><div class="blink"><a href="http://www.david-reitter.com/pub/ororbia_deep_hybrid_ecml_2015.pdf" >PDF</a></div><div class="blink"><a >BIB</a><div class="bibshowhide"><div class="bib">@inproceedings{ororbia_ii_online_2015,
address = {Porto, Portugal},
series = {Lecture {Notes} in {Computer} {Science}},
title = {Online learning of deep hybrid architectures for semi-supervised categorization},
volume = {9284},
url = {http://www.david-reitter.com/pub/ororbia_deep_hybrid_ecml_2015.pdf},
booktitle = {Machine {Learning} and {Knowledge} {Discovery} in {Databases} ({Proceedings}, {ECML} {PKDD} 2015)},
publisher = {Springer},
author = {Ororbia II, Alexander G. and Reitter, David and Wu, Jian and Giles, C. Lee},
year = {2015},
pages = {516--532}
}</div></div></div><div class="blink"><a title="Download RIS/Endnote record" onclick="dwnD('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');return false;">RIS</a></div><span class="Z3988" title="url_ver=Z39.88-2004&ctx_ver=Z39.88-2004&rfr_id=info%3Asid%2Fzotero.org%3A2&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Abook&rft.genre=proceeding&rft.atitle=Online%20learning%20of%20deep%20hybrid%20architectures%20for%20semi-supervised%20categorization&rft.btitle=Machine%20Learning%20and%20Knowledge%20Discovery%20in%20Databases%20(Proceedings%2C%20ECML%20PKDD%202015)&rft.place=Porto%2C%20Portugal&rft.publisher=Springer&rft.series=Lecture%20Notes%20in%20Computer%20Science&rft.aufirst=Alexander%20G.&rft.aulast=Ororbia%20II&rft.au=Alexander%20G.%20Ororbia%20II&rft.au=David%20Reitter&rft.au=Jian%20Wu&rft.au=C.%20Lee%20Giles&rft.date=2015&rft.pages=516-532&rft.spage=516&rft.epage=532"></span></div></div><div class="bib-item"><div class="bib-details"><div class="csl-entry">Ororbia II, A. G., Giles, C. L., & Reitter, D. (2015). <span class="doctitle"><a class="doctitle" href="http://www.david-reitter.com/pub/ororbia2015learning-deep-hybrid.pdf">Learning a deep hybrid model for semi-supervised text classification.</a></span> In <i>Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing</i>. Lisbon, Portugal. </div><span class='bib-kw' style='display:none;'>FCQK6PT6 BQUUP5PR Q7H5UM3I ZJFRZTCB year__2015 venue_short__EMNLP type__archivalConferencePaper ""</span></div><div class="bib-venue">EMNLP</div><div class="bib-venue-short">EMNLP</div><div class="blinkitems"><div class="blink"><a >Abstract</a><div class="bibshowhide"><div class="abstract">We present a novel fine-tuning algorithm in a deep hybrid architecture for semi-supervised text classification. During each increment of the online learning process‚ the fine-tuning algorithm serves as a top-down mechanism for pseudo-jointly modifying model parameters following a bottom-up generative learning pass. The resulting model‚ trained under what we call the Bottom-Up-Top-Down learning algorithm‚ is shown to outperform a variety of competitive models and baselines trained across a wide range of splits between supervised and unsupervised training data.</div></div></div><div class="blink"><a href="http://www.david-reitter.com/pub/ororbia2015learning-deep-hybrid.pdf" >PDF</a></div><div class="blink"><a >BIB</a><div class="bibshowhide"><div class="bib">@inproceedings{ororbia_ii_learning_2015,
address = {Lisbon, Portugal},
title = {Learning a deep hybrid model for semi-supervised text classification},
url = {http://www.david-reitter.com/pub/ororbia2015learning-deep-hybrid.pdf},
booktitle = {Proceedings of the 2015 {Conference} on {Empirical} {Methods} in {Natural} {Language} {Processing}},
author = {Ororbia II, Alexander G. and Giles, C. Lee and Reitter, David},
year = {2015}
}</div></div></div><div class="blink"><a title="Download RIS/Endnote record" onclick="dwnD('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');return false;">RIS</a></div><span class="Z3988" title="url_ver=Z39.88-2004&ctx_ver=Z39.88-2004&rfr_id=info%3Asid%2Fzotero.org%3A2&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Abook&rft.genre=proceeding&rft.atitle=Learning%20a%20deep%20hybrid%20model%20for%20semi-supervised%20text%20classification&rft.btitle=Proceedings%20of%20the%202015%20Conference%20on%20Empirical%20Methods%20in%20Natural%20Language%20Processing&rft.place=Lisbon%2C%20Portugal&rft.aufirst=Alexander%20G.&rft.aulast=Ororbia%20II&rft.au=Alexander%20G.%20Ororbia%20II&rft.au=C.%20Lee%20Giles&rft.au=David%20Reitter&rft.date=2015"></span></div></div><div class="bib-item"><div class="bib-details"><div class="csl-entry">Xu, Y., & Reitter, D. (2015). <span class="doctitle"><a class="doctitle" href="http://www.david-reitter.com/pub/xu2015evaluation-alignment.pdf">An evaluation and comparison of linguistic alignment measures.</a></span> In <i>Proc. Cognitive Modeling and Computational Linguistics</i> (pp. 58–67). Denver, CO: Association for Computational Linguistics. </div><span class='bib-kw' style='display:none;'>FCQK6PT6 BQUUP5PR Q7H5UM3I year__2015 venue_short__CMCL type__conferencePaper ""</span></div><div class="bib-venue">CMCL</div><div class="bib-venue-short">CMCL</div><div class="blinkitems"><div class="blink"><a >Abstract</a><div class="bibshowhide"><div class="abstract">Linguistic alignment has emerged as an important property of conversational language and a driver of mutual understanding in dialogue. While various computational measures of linguistic alignment in corpus and experimental data have been devised‚ a systematic evaluation of them is missing. In this study‚ we first evaluate the sensitivity and distributional properties of three measures‚ indiscriminate local linguistic alignment (LLA)‚ Spearman’s correlation coefficient (SCC)‚ and repetition decay (RepDecay). Then we apply them in a study of interactive alignment and individual differences to see how well they conform to the Interactive Alignment Model (IAM)‚ and how well they can reveal the individual differences in alignment propensity. Our results suggest that LLA has the overall best performance.</div></div></div><div class="blink"><a href="http://www.david-reitter.com/pub/xu2015evaluation-alignment.pdf" >PDF</a></div><div class="blink"><a >BIB</a><div class="bibshowhide"><div class="bib">@inproceedings{xu2015evaluation,
address = {Denver, CO},
title = {An evaluation and comparison of linguistic alignment measures},
url = {http://www.david-reitter.com/pub/xu2015evaluation-alignment.pdf},
booktitle = {Proc. {Cognitive} {Modeling} and {Computational} {Linguistics}},
publisher = {Association for Computational Linguistics},
author = {Xu, Yang and Reitter, David},
year = {2015},
pages = {58--67}
}</div></div></div><div class="blink"><a title="Download RIS/Endnote record" onclick="dwnD('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');return false;">RIS</a></div><span class="Z3988" title="url_ver=Z39.88-2004&ctx_ver=Z39.88-2004&rfr_id=info%3Asid%2Fzotero.org%3A2&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Abook&rft.genre=proceeding&rft.atitle=An%20evaluation%20and%20comparison%20of%20linguistic%20alignment%20measures&rft.btitle=Proc.%20Cognitive%20Modeling%20and%20Computational%20Linguistics&rft.place=Denver%2C%20CO&rft.publisher=Association%20for%20Computational%20Linguistics&rft.aufirst=Yang&rft.aulast=Xu&rft.au=Yang%20Xu&rft.au=David%20Reitter&rft.date=2015&rft.pages=58-67&rft.spage=58&rft.epage=67"></span></div></div><div class="bib-item"><div class="bib-details"><div class="csl-entry">Wang, Y., Yen, J., & Reitter, D. (2015). <span class="doctitle"><a class="doctitle" href="http://www.david-reitter.com/pub/wang2015pragmatic-alignment.pdf">Pragmatic alignment on social support type in health forum conversations.</a></span> In <i>Proc. Cognitive Modeling and Computational Linguistics</i> (pp. 9–18). Denver, CO: Association for Computational Linguistics. </div><span class='bib-kw' style='display:none;'>FCQK6PT6 BQUUP5PR Q7H5UM3I year__2015 venue_short__CMCL type__conferencePaper ""</span></div><div class="bib-venue">CMCL</div><div class="bib-venue-short">CMCL</div><div class="blinkitems"><div class="blink"><a >Abstract</a><div class="bibshowhide"><div class="abstract">Linguistic alignment‚ such as lexical and syntactic alignment‚ is a universal
phenomenon influencing dialogue participants in online conversations. Besides linguistic alignment‚ social support‚ such as emotional support and
informational support‚ also provides important benefits to their members. More recently‚ identifying and analyzing social support facilitated insights in the
construction of support oriented communities. In this paper‚ we study whether members show pragmatic alignment on social support. While adaptation can occur at lexical‚ syntactic and pragmatic levels‚ relationships between alignments at multiple levels are neither theoretically nor empirically well understood. Our
results indicate pragmatic alignment of forum members along the axis of support type. We also find that lexical alignment is correlated with emotional support‚ and that the amount of lexical alignment is also correlated with the amount of pragmatic alignment. This finding can contribute to improving our
understanding about the linguistic signature of different types of support‚ and enhancing theoretical model of the Interactive Alignment Model in a multi-party peer support conversation context.</div></div></div><div class="blink"><a href="http://www.david-reitter.com/pub/wang2015pragmatic-alignment.pdf" >PDF</a></div><div class="blink"><a >BIB</a><div class="bibshowhide"><div class="bib">@inproceedings{wang2015pragmatic,
address = {Denver, CO},
title = {Pragmatic alignment on social support type in health forum conversations},
url = {http://www.david-reitter.com/pub/wang2015pragmatic-alignment.pdf},
booktitle = {Proc. {Cognitive} {Modeling} and {Computational} {Linguistics}},
publisher = {Association for Computational Linguistics},
author = {Wang, Yafei and Yen, John and Reitter, David},
year = {2015},
pages = {9--18}
}</div></div></div><div class="blink"><a title="Download RIS/Endnote record" onclick="dwnD('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');return false;">RIS</a></div><span class="Z3988" title="url_ver=Z39.88-2004&ctx_ver=Z39.88-2004&rfr_id=info%3Asid%2Fzotero.org%3A2&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Abook&rft.genre=proceeding&rft.atitle=Pragmatic%20alignment%20on%20social%20support%20type%20in%20health%20forum%20conversations&rft.btitle=Proc.%20Cognitive%20Modeling%20and%20Computational%20Linguistics&rft.place=Denver%2C%20CO&rft.publisher=Association%20for%20Computational%20Linguistics&rft.aufirst=Yafei&rft.aulast=Wang&rft.au=Yafei%20Wang&rft.au=John%20Yen&rft.au=David%20Reitter&rft.date=2015&rft.pages=9-18&rft.spage=9&rft.epage=18"></span></div></div><div class="bib-item"><div class="bib-details"><div class="csl-entry">Ororbia II, A. G., Xu, Y., D’Orazio, V., & Reitter, D. (2015). <span class="doctitle"><a class="doctitle" href="http://www.david-reitter.com/pub/ororbia2015crowd.pdf">Error-correction and aggregation in crowd-sourcing of geopolitical incident information.</a></span> In N. Agarwal, K. Xu, & N. Osgood (Eds.), <i>Social Computing, Behavioral Modeling and Prediction</i> (Vol. 9021, pp. 381–387). Springer. </div><div class="bib-extra">10.1007/978-3-319-16268-3 47</div><span class='bib-kw' style='display:none;'>FCQK6PT6 Q7H5UM3I D886I5TI TC3HZ9JR year__2015 venue_short__SBP type__archivalConferencePaper ""</span></div><div class="bib-venue-short">SBP</div><div class="blinkitems"><div class="blink"><a >Abstract</a><div class="bibshowhide"><div class="abstract">A discriminative model is presented for crowd-sourcing the annotation of news stories to produce a structured dataset about incidents involving militarized disputes between nation-states. We used a question tree to gather partially redundant data from each crowd worker. A lattice of Bayesian Networks was then applied to error correct the individual worker annotations‚ the results of which were then aggregated via majority voting. The resulting hybrid model outperformed comparable‚ state-of-the-art aggregation models in both accuracy and computational scalability.</div></div></div><div class="blink"><a href="http://www.david-reitter.com/pub/ororbia2015crowd.pdf" >PDF</a></div><div class="blink"><a >BIB</a><div class="bibshowhide"><div class="bib">@incollection{ororbia_ii_error-correction_2015,
series = {Lecture {Notes} in {Computer} {Science} ({SBP})},
title = {Error-correction and aggregation in crowd-sourcing of geopolitical incident information},
volume = {9021},
url = {http://www.david-reitter.com/pub/ororbia2015crowd.pdf},
booktitle = {Social {Computing}, {Behavioral} {Modeling} and {Prediction}},
publisher = {Springer},
author = {Ororbia II, Alexander G. and Xu, Yang and D'Orazio, Vito and Reitter, David},
editor = {Agarwal, Nitin and Xu, Kevin and Osgood, Nathaniel},
year = {2015},
note = {10.1007/978-3-319-16268-3 47},
pages = {381--387}
}</div></div></div><div class="blink"><a title="Download RIS/Endnote record" onclick="dwnD('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');return false;">RIS</a></div><span class="Z3988" title="url_ver=Z39.88-2004&ctx_ver=Z39.88-2004&rfr_id=info%3Asid%2Fzotero.org%3A2&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Abook&rft.genre=bookitem&rft.atitle=Error-correction%20and%20aggregation%20in%20crowd-sourcing%20of%20geopolitical%20incident%20information&rft.btitle=Social%20Computing%2C%20Behavioral%20Modeling%20and%20Prediction&rft.publisher=Springer&rft.series=Lecture%20Notes%20in%20Computer%20Science%20(SBP)&rft.aufirst=Alexander%20G.&rft.aulast=Ororbia%20II&rft.au=Alexander%20G.%20Ororbia%20II&rft.au=Yang%20Xu&rft.au=Vito%20D'Orazio&rft.au=David%20Reitter&rft.au=Nitin%20Agarwal&rft.au=Kevin%20Xu&rft.au=Nathaniel%20Osgood&rft.date=2015&rft.pages=381-387&rft.spage=381&rft.epage=387"></span></div></div><div class="bib-item"><div class="bib-details"><div class="csl-entry">Reitter, D., Stacy, E. W., & Mezzacappa, E. (Eds.). (2015). <span class="doctitle"><i>Proceedings of the 24th Annual Conference on Behavior Representation in Modeling and Simulation</i>.</span> Washington, D.C.: BRiMS Society.</div><span class='bib-kw' style='display:none;'>FCQK6PT6 Q7H5UM3I 3E52UEVV year__2015 venue_short__BRiMS type__edited-volume ""</span></div><div class="bib-venue-short">BRiMS</div><div class="blinkitems"><div class="blink"><a >BIB</a><div class="bibshowhide"><div class="bib">@book{reitter2015proceedings,
address = {Washington, D.C.},
title = {Proceedings of the 24th {Annual} {Conference} on {Behavior} {Representation} in {Modeling} and {Simulation}},
shorttitle = {{BRiMS}},
publisher = {BRiMS Society},
editor = {Reitter, D. and Stacy, E. W. and Mezzacappa, E.},
year = {2015}
}</div></div></div><div class="blink"><a title="Download RIS/Endnote record" onclick="dwnD('VFkgIC0gQk9PSw0KVEkgIC0gUHJvY2VlZGluZ3Mgb2YgdGhlIDI0dGggQW5udWFsIENvbmZlcmVuY2Ugb24gQmVoYXZpb3IgUmVwcmVzZW50YXRpb24gaW4gTW9kZWxpbmcgYW5kIFNpbXVsYXRpb24NCkEzICAtIFJlaXR0ZXIsIEQuDQpBMyAgLSBTdGFjeSwgRS4gVy4NCkEzICAtIE1lenphY2FwcGEsIEUuDQpDWSAgLSBXYXNoaW5ndG9uLCBELkMuDQpEQSAgLSAyMDE1Ly8vDQpQWSAgLSAyMDE1DQpEUCAgLSBlZGl0ZWQtdm9sdW1lDQpQQiAgLSBCUmlNUyBTb2NpZXR5DQpTVCAgLSBCUmlNUw0KRVIgIC0=');return false;">RIS</a></div><span class="Z3988" title="url_ver=Z39.88-2004&ctx_ver=Z39.88-2004&rfr_id=info%3Asid%2Fzotero.org%3A2&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Abook&rft.genre=book&rft.btitle=Proceedings%20of%20the%2024th%20Annual%20Conference%20on%20Behavior%20Representation%20in%20Modeling%20and%20Simulation&rft.place=Washington%2C%20D.C.&rft.publisher=BRiMS%20Society&rft.aufirst=D.&rft.aulast=Reitter&rft.au=D.%20Reitter&rft.au=E.%20W.%20Stacy&rft.au=E.%20Mezzacappa&rft.date=2015"></span></div></div><div class="bib-item"><div class="bib-details"><div class="csl-entry">Reitter, D., Xu, Y., Craven, P., Sándor, A., Garrett, R. C., Cross, E. V., & Franke, J. L. (2015). <span class="doctitle"><a class="doctitle" href="http://www.david-reitter.com/pub/surprisal2015iccm.pdf">Cognitive models predicting surprise in robot operators.</a></span> In <i>Proc. International Conference on Cognitive Modeling</i> (p. Poster Abstract). Groningen, Netherlands. </div><span class='bib-kw' style='display:none;'>FCQK6PT6 Q7H5UM3I 3E52UEVV year__2015 venue_short__ICCM type__conferencePaper ""</span></div><div class="bib-venue">ICCM</div><div class="bib-venue-short">ICCM</div><div class="blinkitems"><div class="blink"><a href="http://www.david-reitter.com/pub/surprisal2015iccm.pdf" >PDF</a></div><div class="blink"><a >BIB</a><div class="bibshowhide"><div class="bib">@inproceedings{reitter2015cognitive,
address = {Groningen, Netherlands},
title = {Cognitive models predicting surprise in robot operators},
url = {http://www.david-reitter.com/pub/surprisal2015iccm.pdf},
booktitle = {Proc. {International} {Conference} on {Cognitive} {Modeling}},
author = {Reitter, David and Xu, Yang and Craven, Patrick and Sándor, Anikó and Garrett, R. Chris and Cross, E. Vince and Franke, Jerry L.},
year = {2015},
pages = {Poster Abstract}
}</div></div></div><div class="blink"><a title="Download RIS/Endnote record" onclick="dwnD('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');return false;">RIS</a></div><span class="Z3988" title="url_ver=Z39.88-2004&ctx_ver=Z39.88-2004&rfr_id=info%3Asid%2Fzotero.org%3A2&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Abook&rft.genre=proceeding&rft.atitle=Cognitive%20models%20predicting%20surprise%20in%20robot%20operators&rft.btitle=Proc.%20International%20Conference%20on%20Cognitive%20Modeling&rft.place=Groningen%2C%20Netherlands&rft.aufirst=David&rft.aulast=Reitter&rft.au=David%20Reitter&rft.au=Yang%20Xu&rft.au=Patrick%20Craven&rft.au=Anik%C3%B3%20S%C3%A1ndor&rft.au=R.%20Chris%20Garrett&rft.au=E.%20Vince%20Cross&rft.au=Jerry%20L.%20Franke&rft.date=2015&rft.pages=Poster%20Abstract"></span></div></div><div class="bib-item"><div class="bib-details"><div class="csl-entry">Reitter, D. (2015). <i>Wolves & Sheep - an edu-simulation</i>. Retrieved from https://github.com/davidswelt/wolvesandsheep</div><span class='bib-kw' style='display:none;'>FCQK6PT6 J8F6R8R6 year__2015 type__computerProgram ""</span></div><div class="blinkitems"><div class="blink"><a >Abstract</a><div class="bibshowhide"><div class="abstract">This is a multi-agent‚ bio-inspired simulation; it is a competitive game and a tournament written for 5-50 beginner programmers. It is designed as educational tool: Students of an intermediate programming class taught in Java write code that controls a single player in this simulation. Players are pitched against each other; typically 5 at a time. A tournament runs many combinations of players in many adjustable scenarios. The tournament is set up to run regularly on a server‚ taking .jar files provided by students. It uses standard visibility and sandboxing features of Java to provide a basic level of security.</div></div></div><div class="blink"><a href="https://github.com/davidswelt/wolvesandsheep" >link</a></div><div class="blink"><a >BIB</a><div class="bibshowhide"><div class="bib">@misc{reitter2015wolves,
title = {Wolves \& {Sheep} - an edu-simulation},
copyright = {Free Software},
url = {https://github.com/davidswelt/wolvesandsheep},
author = {Reitter, David},
year = {2015}
}</div></div></div><div class="blink"><a title="Download RIS/Endnote record" onclick="dwnD('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');return false;">RIS</a></div></div></div></div><div class="full-bib-section"><a id='2014' style='{display: block; position: relative; top: -150px; visibility: hidden;}'></a><h2 class="collectiontitle">2014</h2>
<div class="bib-item"><div class="bib-details"><div class="csl-entry">Reitter, D., & Moore, J. D. (2014). <span class="doctitle"><a class="doctitle" href="http://www.david-reitter.com/pub/reitter2014JML-alignment.pdf">Alignment and task success in spoken dialogue.</a></span> <i>Journal of Memory and Language</i>, <i>76</i>, 29–46. https://doi.org/10.1016/j.jml.2014.05.008</div><span class='bib-kw' style='display:none;'>ZJFRZTCB BQUUP5PR Q7H5UM3I FCQK6PT6 TC3HZ9JR year__2014 venue_short__J Mem Lang type__journalArticle ""</span></div><div class="bib-venue">Journal of Memory and Language</div><div class="bib-venue-short">J Mem Lang</div><div class="blinkitems"><div class="blink"><a >Abstract</a><div class="bibshowhide"><div class="abstract">Task-solving in dialogue depends on the convergence of the situation models held by the dialogue partners. The Interactive Alignment Model (Pickering and Garrod‚ 2004) suggests that this convergence is the result of an interactive alignment process‚ which is based on mechanistic repetition at a number of linguistic levels. In this paper‚ we develop two predictions arising from the theory‚ along with two methods to quantify the known structural priming effects in the full inventory of syntactic choices found in text and speech corpora. (a) Under a rational perspective‚ we expect increased repetition in task-oriented dialogue compared to spontaneous conversation. We find within- and between-speaker priming in a corpus of spontaneous conversations‚ but stronger priming in task-oriented dialogue. (b) The Interactive Alignment Model predicts linguistic adaptation to be correlated with task success. We show this effect in a corpus of task-oriented dialogue‚ where we find a positive correlation of long-term adaptation and a quantifiable task success measure. We argue that the repetition tendency relevant for the high-level alignment of situation models is based on slow adaptation rather than short-term priming. We demonstrate that lexical and syntactic repetition are reliable and computationally exploitable predictors of task success.</div></div></div><div class="blink"><a href="http://www.david-reitter.com/pub/reitter2014JML-alignment.pdf" >PDF</a></div><div class="blink"><a >BIB</a><div class="bibshowhide"><div class="bib">@article{reitter2014alignment,
title = {Alignment and task success in spoken dialogue},
volume = {76},
url = {http://www.david-reitter.com/pub/reitter2014JML-alignment.pdf},
doi = {10.1016/j.jml.2014.05.008},
journal = {Journal of Memory and Language},
author = {Reitter, David and Moore, Johanna D.},
year = {2014},
pages = {29--46}
}</div></div></div><div class="blink"><a title="Download RIS/Endnote record" onclick="dwnD('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');return false;">RIS</a></div><span class="Z3988" title="url_ver=Z39.88-2004&ctx_ver=Z39.88-2004&rfr_id=info%3Asid%2Fzotero.org%3A2&rft_id=info%3Adoi%2F10.1016%2Fj.jml.2014.05.008&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Alignment%20and%20task%20success%20in%20spoken%20dialogue&rft.jtitle=Journal%20of%20Memory%20and%20Language&rft.stitle=J%20Mem%20Lang&rft.volume=76&rft.aufirst=David&rft.aulast=Reitter&rft.au=David%20Reitter&rft.au=Johanna%20D.%20Moore&rft.date=2014&rft.pages=29-46&rft.spage=29&rft.epage=46"></span></div></div><div class="bib-item"><div class="bib-details"><div class="csl-entry">Wang, Y., Reitter, D., & Yen, J. (2014). <span class="doctitle"><a class="doctitle" href="http://www.david-reitter.com/pub/yafei2014cmcl.pdf">Linguistic adaptation in online conversation threads: analyzing alignment in online health communities.</a></span> In <i>Proceedings of the Fifth Workshop on Cognitive Modeling and Computational Linguistics (at ACL)</i> (pp. 55–62). Baltimore, Maryland, USA. </div><span class='bib-kw' style='display:none;'>FCQK6PT6 BQUUP5PR Q7H5UM3I TC3HZ9JR year__2014 venue_short__CMCL type__conferencePaper ""</span></div><div class="bib-venue">CMCL</div><div class="bib-venue-short">CMCL</div><div class="blinkitems"><div class="blink"><a >Abstract</a><div class="bibshowhide"><div class="abstract">Previous studies of alignment have focused on two-party conversations. We study multi-party conversation in online health communities‚ which have shown benefits for their members from forum conversations. So far‚ our understanding of the relationship between alignment in such multi-party conversations and its possible connection to member benefits has been limited. This paper quantifies linguistic alignment in the oldest and the largest cancer online forum. Alignment at lexical and syntactic levels‚ as well as decay of alignment was observed in forum threads‚ although the decay was slower than commonly found in psycholinguistic studies. The different pattern of adaptation to the initial post on a thread suggests that specific roles in the online forum (e.g.‚ seeking support from the community) can potentially be revealed through alignment theory and its extensions.</div></div></div><div class="blink"><a href="http://www.david-reitter.com/pub/yafei2014cmcl.pdf" >PDF</a></div><div class="blink"><a >BIB</a><div class="bibshowhide"><div class="bib">@inproceedings{wang2014linguistic,
address = {Baltimore, Maryland, USA},
title = {Linguistic adaptation in online conversation threads: analyzing alignment in online health communities},
url = {http://www.david-reitter.com/pub/yafei2014cmcl.pdf},
booktitle = {Proceedings of the {Fifth} {Workshop} on {Cognitive} {Modeling} and {Computational} {Linguistics} (at {ACL})},
author = {Wang, Yafei and Reitter, David and Yen, John},
year = {2014},
pages = {55--62}
}</div></div></div><div class="blink"><a title="Download RIS/Endnote record" onclick="dwnD('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');return false;">RIS</a></div><span class="Z3988" title="url_ver=Z39.88-2004&ctx_ver=Z39.88-2004&rfr_id=info%3Asid%2Fzotero.org%3A2&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Abook&rft.genre=proceeding&rft.atitle=Linguistic%20adaptation%20in%20online%20conversation%20threads%3A%20analyzing%20alignment%20in%20online%20health%20communities&rft.btitle=Proceedings%20of%20the%20Fifth%20Workshop%20on%20Cognitive%20Modeling%20and%20Computational%20Linguistics%20(at%20ACL)&rft.place=Baltimore%2C%20Maryland%2C%20USA&rft.aufirst=Yafei&rft.aulast=Wang&rft.au=Yafei%20Wang&rft.au=David%20Reitter&rft.au=John%20Yen&rft.date=2014&rft.pages=55-62&rft.spage=55&rft.epage=62"></span></div></div><div class="bib-item"><div class="bib-details"><div class="csl-entry">Grossklags, J., & Reitter, D. (2014). <span class="doctitle"><a class="doctitle" href="http://www.david-reitter.com/pub/grossklags2014csf.pdf">How task familiarity and cognitive predispositions impact behavior in a security game of timing.</a></span> In <i>Proceedings of the 27th IEEE Computer Security Foundations Symposium</i> (pp. 111–122). Vienna. </div><span class='bib-kw' style='display:none;'>FCQK6PT6 Q7H5UM3I TC3HZ9JR 4JNMHMPK year__2014 venue_short__CSF type__archivalConferencePaper ""</span></div><div class="bib-venue">CSF</div><div class="bib-venue-short">CSF</div><div class="blinkitems"><div class="blink"><a >Abstract</a><div class="bibshowhide"><div class="abstract">This paper addresses security and safety choices that involve a decision on the timing of an action. Examples of such decisions include when to check log files for intruders and when to monitor financial accounts for fraud or errors. To better understand how performance in timing-related security situations is shaped by individuals’ cognitive predispositions‚ we effectively combine survey measures with economic experiments. Two behavioral experiments are presented in which the timing of online security actions is the critical decision-making factor. The feedback modality in the decision-environment is varied between visual feedback with history (Experiment 1)‚ and temporal feedback without history (Experiment 2). Using psychometric scales‚ we study the role of individual difference variables‚ specifically risk propensity and need for cognition. The analysis is based on the data from over 450 participants. We find that risk propensity is not a hindrance in timing tasks. Participants of average risk propensity generally benefit from a reflective disposition (high need for cognition)‚ particularly when visual feedback is given. Overall‚ participants benefit from need for cognition; however‚ in the more difficult‚ temporal-estimation task‚ this requires familiarity with the task.</div></div></div><div class="blink"><a href="http://www.david-reitter.com/pub/grossklags2014csf.pdf" >PDF</a></div><div class="blink"><a >BIB</a><div class="bibshowhide"><div class="bib">@inproceedings{grossklags2014how,
address = {Vienna},
title = {How task familiarity and cognitive predispositions impact behavior in a security game of timing},
url = {http://www.david-reitter.com/pub/grossklags2014csf.pdf},
booktitle = {Proceedings of the 27th {IEEE} {Computer} {Security} {Foundations} {Symposium}},
author = {Grossklags, Jens and Reitter, David},
year = {2014},
pages = {111--122}
}</div></div></div><div class="blink"><a title="Download RIS/Endnote record" onclick="dwnD('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');return false;">RIS</a></div><span class="Z3988" title="url_ver=Z39.88-2004&ctx_ver=Z39.88-2004&rfr_id=info%3Asid%2Fzotero.org%3A2&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Abook&rft.genre=proceeding&rft.atitle=How%20task%20familiarity%20and%20cognitive%20predispositions%20impact%20behavior%20in%20a%20security%20game%20of%20timing&rft.btitle=Proceedings%20of%20the%2027th%20IEEE%20Computer%20Security%20Foundations%20Symposium&rft.place=Vienna&rft.aufirst=Jens&rft.aulast=Grossklags&rft.au=Jens%20Grossklags&rft.au=David%20Reitter&rft.date=2014&rft.pages=111-122&rft.spage=111&rft.epage=122"></span></div></div><div class="bib-item"><div class="bib-details"><div class="csl-entry">Ghafurian, M., & Reitter, D. (2014). <span class="doctitle"><a class="doctitle" href="http://www.david-reitter.com/pub/moojan2014impatience.pdf">Impatience, risk propensity and rationality in timing games.</a></span> In <i>Proceedings of the 36th Annual Conference of the Cognitive Science Society</i> (pp. 2841–2846). Quebec, Canada. </div><span class='bib-kw' style='display:none;'>FCQK6PT6 Q7H5UM3I TC3HZ9JR 4JNMHMPK year__2014 venue_short__CogSci type__conferencePaper ""</span></div><div class="bib-venue">CogSci</div><div class="bib-venue-short">CogSci</div><div class="blinkitems"><div class="blink"><a >Abstract</a><div class="bibshowhide"><div class="abstract">Games of timing reflect dynamic decision-making under uncertainty‚ as it takes place in many real-world situations‚ including health care‚ safety and security. Rather than making discrete decisions‚ participants choose one or more points in time that determine the outcome. We study individual’s biases and characteristics in such games of timing. We examine risk propensity as a personal preference affecting timing decisions and document a bias‚ impatience. Experiment 1 analyzes people’s strategy in timing games in relation to a rational model. Contrasting two cognitive models suggests that individuals apply risk propensity to the probability distributions underlying short games and when unfamiliar with the situation‚ but that‚ over time‚ impatience takes over as a linear adjustment. In Experiment 2‚ impatient participants risk their incentive payment in order to play early‚ even if they receive no advantage from doing so.</div></div></div><div class="blink"><a href="http://www.david-reitter.com/pub/moojan2014impatience.pdf" >PDF</a></div><div class="blink"><a >BIB</a><div class="bibshowhide"><div class="bib">@inproceedings{ghafurian2014impatience,
address = {Quebec, Canada},
title = {Impatience, risk propensity and rationality in timing games},
url = {http://www.david-reitter.com/pub/moojan2014impatience.pdf},
booktitle = {Proceedings of the 36th {Annual} {Conference} of the {Cognitive} {Science} {Society}},
author = {Ghafurian, Moojan and Reitter, David},
year = {2014},
pages = {2841--2846}
}</div></div></div><div class="blink"><a title="Download RIS/Endnote record" onclick="dwnD('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');return false;">RIS</a></div><span class="Z3988" title="url_ver=Z39.88-2004&ctx_ver=Z39.88-2004&rfr_id=info%3Asid%2Fzotero.org%3A2&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Abook&rft.genre=proceeding&rft.atitle=Impatience%2C%20risk%20propensity%20and%20rationality%20in%20timing%20games&rft.btitle=Proceedings%20of%20the%2036th%20Annual%20Conference%20of%20the%20Cognitive%20Science%20Society&rft.place=Quebec%2C%20Canada&rft.aufirst=Moojan&rft.aulast=Ghafurian&rft.au=Moojan%20Ghafurian&rft.au=David%20Reitter&rft.date=2014&rft.pages=2841-2846&rft.spage=2841&rft.epage=2846"></span></div></div><div class="bib-item"><div class="bib-details"><div class="csl-entry">St.Amant, R., Reitter, D., & Stacy, E. W. (Eds.). (2014). <span class="doctitle"><i>Proceedings of the 23rd Annual Conference on Behavior Representation in Modeling and Simulation</i>.</span> Washington, D.C.: BRiMS Society.</div><span class='bib-kw' style='display:none;'>FCQK6PT6 Q7H5UM3I TC3HZ9JR 3E52UEVV year__2014 venue_short__BRiMS type__edited-volume ""</span></div><div class="bib-venue-short">BRiMS</div><div class="blinkitems"><div class="blink"><a >BIB</a><div class="bibshowhide"><div class="bib">@book{st.amant2014proceedings,
address = {Washington, D.C.},
title = {Proceedings of the 23rd {Annual} {Conference} on {Behavior} {Representation} in {Modeling} and {Simulation}},
shorttitle = {{BRiMS}},
publisher = {BRiMS Society},
editor = {St.Amant, Robert and Reitter, D. and Stacy, E. W.},
year = {2014}
}</div></div></div><div class="blink"><a title="Download RIS/Endnote record" onclick="dwnD('VFkgIC0gQk9PSw0KVEkgIC0gUHJvY2VlZGluZ3Mgb2YgdGhlIDIzcmQgQW5udWFsIENvbmZlcmVuY2Ugb24gQmVoYXZpb3IgUmVwcmVzZW50YXRpb24gaW4gTW9kZWxpbmcgYW5kIFNpbXVsYXRpb24NCkEzICAtIFN0LkFtYW50LCBSb2JlcnQNCkEzICAtIFJlaXR0ZXIsIEQuDQpBMyAgLSBTdGFjeSwgRS4gVy4NCkNZICAtIFdhc2hpbmd0b24sIEQuQy4NCkRBICAtIDIwMTQvLy8NClBZICAtIDIwMTQNCkRQICAtIGVkaXRlZC12b2x1bWUNClBCICAtIEJSaU1TIFNvY2lldHkNClNUICAtIEJSaU1TDQpFUiAgLQ==');return false;">RIS</a></div><span class="Z3988" title="url_ver=Z39.88-2004&ctx_ver=Z39.88-2004&rfr_id=info%3Asid%2Fzotero.org%3A2&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Abook&rft.genre=book&rft.btitle=Proceedings%20of%20the%2023rd%20Annual%20Conference%20on%20Behavior%20Representation%20in%20Modeling%20and%20Simulation&rft.place=Washington%2C%20D.C.&rft.publisher=BRiMS%20Society&rft.aufirst=Robert&rft.aulast=St.Amant&rft.au=Robert%20St.Amant&rft.au=D.%20Reitter&rft.au=E.%20W.%20Stacy&rft.date=2014"></span></div></div><div class="bib-item"><div class="bib-details"><div class="csl-entry">Reitter, D. (2014). <span class="doctitle"><a class="doctitle" href="http://www.david-reitter.com/pub/reitter2014hungryWolves.pdf">Hungry wolves, creepy sheepies: the gamification of the programmer’s classroom.</a></span> In J. M. Carroll (Ed.), <i>Innovative Practices in Teaching Information Sciences and Technology</i> (pp. 19–29). Springer. </div><span class='bib-kw' style='display:none;'>FCQK6PT6 F5GRSUCK Q7H5UM3I TC3HZ9JR year__2014 type__bookSection ""</span></div><div class="blinkitems"><div class="blink"><a >Abstract</a><div class="bibshowhide"><div class="abstract">The Wolves and Sheep game is an educational‚ multi-agent computer simulation for students of programming classes. Players move about in a two- dimensional landscape‚ aiming to reach targets or catch other players. Students write programs that control individual players in the game. The programs then participate in a tournament. Students practice basic programming and algorithmic thinking‚ object-orientation and the role of interfaces‚ and are even exposed to basic Artificial Intelligence. Gamification helps motivate students and creates positive‚ but challenging learning experiences.</div></div></div><div class="blink"><a href="http://www.david-reitter.com/pub/reitter2014hungryWolves.pdf" >PDF</a></div><div class="blink"><a >BIB</a><div class="bibshowhide"><div class="bib">@incollection{reitter2014hungry,
title = {Hungry wolves, creepy sheepies: the gamification of the programmer's classroom},
url = {http://www.david-reitter.com/pub/reitter2014hungryWolves.pdf},
booktitle = {Innovative {Practices} in {Teaching} {Information} {Sciences} and {Technology}},
publisher = {Springer},
author = {Reitter, David},
editor = {Carroll, John M.},
year = {2014},
pages = {19--29}
}</div></div></div><div class="blink"><a title="Download RIS/Endnote record" onclick="dwnD('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
gitextract_fimm7l1u/ ├── .gitignore ├── ChangeLog.md ├── README.rst ├── demo/ │ ├── example1.html │ ├── example2.html │ ├── example3.html │ ├── example4.html │ ├── settings1.py │ ├── settings2.py │ ├── settings3.py │ ├── settings4.py │ ├── style1.css │ ├── style2.css │ ├── style3.css │ └── style4.css ├── make-demo.sh ├── make-doc/ │ ├── Makefile │ ├── conf.py │ ├── index.rst │ └── requirements.txt ├── push.py ├── settings_example.py ├── site/ │ └── style.css ├── texconv.py └── zot.py
SYMBOL INDEX (114 symbols across 3 files)
FILE: push.py
function noop (line 23) | def noop(*args,**kwargs):
function push_wordpress (line 26) | def push_wordpress(url, blogID, user, password, postID):
function get_bibliography (line 75) | def get_bibliography (coll):
FILE: texconv.py
function addDollar (line 146) | def addDollar(list):
function string_replace (line 159) | def string_replace(dct,text):
function tex2unicode (line 167) | def tex2unicode(s):
function unicode2tex (line 173) | def unicode2tex(s):
FILE: zot.py
function fix_bibtex_reference (line 95) | def fix_bibtex_reference(bib, _thisatom):
function flexprint (line 226) | def flexprint(*args, **kwargs):
function default (line 242) | def default(dict, **kwargs):
function warning (line 247) | def warning(*objs, **kwargs):
function error (line 250) | def error(*objs, **kwargs):
function log (line 253) | def log(*objs, **kwargs):
function progress (line 256) | def progress(*objs, **kwargs):
function warn (line 260) | def warn(*objs, **kwargs):
function check_requirements (line 268) | def check_requirements ():
class Settings (line 294) | class Settings:
method load_settings (line 298) | def load_settings(file=None):
method make_arg_parser (line 336) | def make_arg_parser():
method read_args_and_init (line 374) | def read_args_and_init():
function flexible_html_regex (line 428) | def flexible_html_regex(r): # To Do: request non-HTML output from Zoter...
function url_regex (line 437) | def url_regex(prefix=""):
function cleanup_lines (line 469) | def cleanup_lines(string):
function generate_base_html (line 475) | def generate_base_html():
function parse_date (line 680) | def parse_date(value):
function sortkeyname (line 710) | def sortkeyname(field, value):
function import_legacy_configuration (line 764) | def import_legacy_configuration():
function index_configuration (line 799) | def index_configuration():
class ZotItem (line 825) | class ZotItem:
method __init__ (line 828) | def __init__(self, entries):
method addAttachment (line 868) | def addAttachment(self, zotItem):
method access (line 871) | def access(self, key, default=""):
method getYear (line 888) | def getYear(self):
method venue (line 895) | def venue(self):
method venue_short (line 898) | def venue_short(self):
method addSectionKeyword (line 917) | def addSectionKeyword(self, s):
method getTags (line 921) | def getTags(self):
function write_bib (line 925) | def write_bib(items, outfile):
function format_bib (line 941) | def format_bib(bib):
function format_ris (line 945) | def format_ris(bib):
function extract_abstract (line 949) | def extract_abstract(bib):
function write_some_html (line 967) | def write_some_html(body, outfile, html_header, html_footer, title=None):
function tryreplacing (line 986) | def tryreplacing(source, strings, repl):
function urlize (line 998) | def urlize(text):
function is_string (line 1019) | def is_string(s):
function coll_data (line 1023) | def coll_data(c):
function coll_key (line 1029) | def coll_key(c):
function coll_name (line 1035) | def coll_name(c):
function collname_split (line 1039) | def collname_split(name): # returns sort_prefix,modifiers,value
class Coll (line 1048) | class Coll:
method findName (line 1052) | def findName(key):
method find (line 1056) | def find(key):
method findSimilar (line 1062) | def findSimilar(keyword):
method add (line 1072) | def add(code, name, depth, parents, db):
method is_short_collection (line 1078) | def is_short_collection(section_code):
method is_featured_collection (line 1087) | def is_featured_collection(section_code):
method is_hidden_collection (line 1093) | def is_hidden_collection(section_code):
method is_misc_collection (line 1098) | def is_misc_collection(section_code):
method is_regular_collection (line 1103) | def is_regular_collection(s):
method is_special_collection (line 1109) | def is_special_collection(section_code, special):
method get_featured_collections (line 1119) | def get_featured_collections(section_code):
method hideSectionTitle (line 1123) | def hideSectionTitle(section_code):
method __init__ (line 1129) | def __init__(self, key, name, depth, parents, db):
function strip (line 1139) | def strip(string):
function last (line 1146) | def last(string_or_list):
function js_strings (line 1152) | def js_strings(string_or_list):
function user_collection (line 1162) | def user_collection(id, api_key=None, collection=None, top_level=False):
function group_collection (line 1168) | def group_collection(id, api_key=None, collection=None, top_level=False):
function exclude_collection (line 1239) | def exclude_collection(collection, top_level_only=False):
function rename_collection (line 1248) | def rename_collection(collection, newName):
function short_collection (line 1256) | def short_collection(collection):
function featured_collection (line 1270) | def featured_collection(collection):
function hidden_collection (line 1284) | def hidden_collection(collection):
function misc_collection (line 1294) | def misc_collection(collection):
function exclude_items (line 1307) | def exclude_items(filter): # NOT DOCUMENTED - EXPERIMENTAL
class Shortcut (line 1339) | class Shortcut:
method __init__ (line 1340) | def __init__(self, crit, values=None, topN=None, sortBy=None, sortDir=...
method setAllItems (line 1349) | def setAllItems(self, all_items):
method getValueForUniqueItems (line 1352) | def getValueForUniqueItems(self):
method sort_crit_in_reversed_order (line 1365) | def sort_crit_in_reversed_order(self):
method compile (line 1376) | def compile(self):
method getCatValueInfo (line 1412) | def getCatValueInfo(self):
method uniquify (line 1421) | def uniquify(seq, idfun=None):
method getLevels (line 1438) | def getLevels(self):
method getBibItems (line 1457) | def getBibItems(self, crit_val, section_print_title):
function shortcut (line 1495) | def shortcut(crit, values=None, topN=None, sortDir='auto', sortBy=None):
function make_header_htmls (line 1532) | def make_header_htmls(all_items):
function div (line 1571) | def div(cls=None, content="", style=None, tag="div"):
function make_html (line 1578) | def make_html(all_items, exclude={}, shorten=False):
function make_sure_path_exists (line 1762) | def make_sure_path_exists(path):
class DBInstance (line 1773) | class DBInstance:
method create (line 1777) | def create(library_id, library_type, api_key):
method traverse (line 1806) | def traverse(self, agenda, depth=0, parents=[]):
method get_collections (line 1819) | def get_collections(self, topcollection, top_level):
method retrieve_x (line 1842) | def retrieve_x(self, collection, **args):
method retrieve_bib (line 1848) | def retrieve_bib(self, collection, content, style):
method retrieve_atom (line 1851) | def retrieve_atom(self, collection):
method retrieve_coins (line 1854) | def retrieve_coins(self, collection):
method retrieve_wikipedia (line 1857) | def retrieve_wikipedia(self, collection):
method retrieve_data (line 1861) | def retrieve_data(self, collection_id, exclude=None):
method filter_data (line 1864) | def filter_data(self, a):
method retrieve_data_cached (line 1881) | def retrieve_data_cached(self, collection_id, exclude=None):
method arrangeAttachments (line 1962) | def arrangeAttachments(self, items):
method dumpFiles (line 1975) | def dumpFiles(self, item):
function detect_and_merge_doubles (line 2039) | def detect_and_merge_doubles(items):
function merge_doubles (line 2082) | def merge_doubles(items):
function retrieve_all_items (line 2102) | def retrieve_all_items(collections):
function htmlid (line 2163) | def htmlid(s):
function compile_data (line 2167) | def compile_data(all_items, section_code, crits, exclude={}, shorten=Fal...
function show_double_warnings (line 2202) | def show_double_warnings(item_ids):
function pull_up_featured_remove_hidden_colls (line 2228) | def pull_up_featured_remove_hidden_colls(all_items):
function sort_items (line 2254) | def sort_items(all_items, sort_criteria, sort_reverse):
function section_generator (line 2277) | def section_generator(items, crits):
function generate_html (line 2343) | def generate_html(include, item_filters=[]):
Condensed preview — 25 files, each showing path, character count, and a content snippet. Download the .json file or copy for the full structured content (3,475K chars).
[
{
"path": ".gitignore",
"chars": 60,
"preview": "files/*\nzot.build\n.idea\n*.pyc\n*~\n.cache\n_build\n__pycache__\n\n"
},
{
"path": "ChangeLog.md",
"chars": 5165,
"preview": "Changes to Zot_bib_web\n\nhttps://github.com/davidswelt/zot_bib_web\n\nAuthor/Contact:\n\tDr. David Reitter, College of Inform"
},
{
"path": "README.rst",
"chars": 7892,
"preview": "Interactive web bibliographies with Zotero\n=========================================================\n\nExample Installati"
},
{
"path": "demo/example1.html",
"chars": 431498,
"preview": "<!DOCTYPE html><html lang=\"en\"><head><meta charset=\"UTF-8\"><title>Bibliography</title><link rel=\"stylesheet\" type=\"text/"
},
{
"path": "demo/example2.html",
"chars": 428970,
"preview": "<!DOCTYPE html><html lang=\"en\"><head><meta charset=\"UTF-8\"><title>Bibliography</title><link rel=\"stylesheet\" type=\"text/"
},
{
"path": "demo/example3.html",
"chars": 916908,
"preview": "<!DOCTYPE html><html lang=\"en\"><head><meta charset=\"UTF-8\"><title>Bibliography</title><link rel=\"stylesheet\" type=\"text/"
},
{
"path": "demo/example4.html",
"chars": 1455234,
"preview": "<!DOCTYPE html><html lang=\"en\"><head><meta charset=\"UTF-8\"><title>Bibliography</title><link rel=\"stylesheet\" type=\"text/"
},
{
"path": "demo/settings1.py",
"chars": 2918,
"preview": "# settings.py\n\n\n#### You must configure the following item\n\nuser_collection('1366641', api_key = 'X4iUU2a7P5mQWNTO7hvuQw"
},
{
"path": "demo/settings2.py",
"chars": 2985,
"preview": "# settings.py\n\n\n#### You must configure the following item\n\nuser_collection('1366641', api_key = 'X4iUU2a7P5mQWNTO7hvuQw"
},
{
"path": "demo/settings3.py",
"chars": 3195,
"preview": "# settings.py\n\n\n#### You must configure the following items\n\ngroup_collection(160464, collection='MGID93AS')\ngroup_colle"
},
{
"path": "demo/settings4.py",
"chars": 2524,
"preview": "\n\n#### You must configure the collection(s) to be loaded\n\ngroup_collection(160464, collection='MGID93AS')\n\n# 160464 # g"
},
{
"path": "demo/style1.css",
"chars": 3324,
"preview": "/* The bibliography */\ndiv.bibliography \n {\n font-family:Times New Roman, serif;\n }\n\n@media print\n{\n #bib-p"
},
{
"path": "demo/style2.css",
"chars": 4339,
"preview": "/* latin-ext */\n@font-face {\n font-family: 'Lato';\n font-style: normal;\n font-weight: 400;\n src: local('Lato Regular"
},
{
"path": "demo/style3.css",
"chars": 5720,
"preview": "/* latin-ext */\n@font-face {\n font-family: 'Lato';\n font-style: normal;\n font-weight: 400;\n src: local('Lato Regular"
},
{
"path": "demo/style4.css",
"chars": 2389,
"preview": "#pubSearchButton {\n\tborder: 0 solid #d4d0ba;\n\tfont-family: inherit;\n\tpadding: 0;\n}\n#pubSearchBox {\n position:absolute; \n"
},
{
"path": "make-demo.sh",
"chars": 163,
"preview": "#!/bin/sh\n\n./zot.py --settings demo/settings1.py\n./zot.py --settings demo/settings2.py\n./zot.py --settings demo/settings"
},
{
"path": "make-doc/Makefile",
"chars": 613,
"preview": "# Minimal makefile for Sphinx documentation\n#\n\n# You can set these variables from the command line.\nSPHINXOPTS =\nSPHI"
},
{
"path": "make-doc/conf.py",
"chars": 5062,
"preview": "# -*- coding: utf-8 -*-\n#\n# Zot_Bib_Web documentation build configuration file, created by\n# sphinx-quickstart on Mon Ma"
},
{
"path": "make-doc/index.rst",
"chars": 703,
"preview": ".. toctree::\n :maxdepth: 3\n :caption: Contents:\n\n\n.. image:: screenshot.png\n :width: 300\t \n\n.. include:: ../READ"
},
{
"path": "make-doc/requirements.txt",
"chars": 69,
"preview": "Sphinx==1.6.2\nsphinx-argparse==0.2.0\nsphinxcontrib-websupport==1.0.1\n"
},
{
"path": "push.py",
"chars": 3479,
"preview": "#!/usr/bin/env python\n\n# This tool updates a given Page on your Wordpress site with\n# a bibliography produced by zot_bib"
},
{
"path": "settings_example.py",
"chars": 11116,
"preview": "#!/usr/bin/env python\n# coding: utf-8\n\n## settings.example.py\n\n## You must configure the authentication settings and one"
},
{
"path": "site/style.css",
"chars": 4927,
"preview": "/* latin-ext */\n@font-face {\n font-family: 'Lato';\n font-style: normal;\n font-weight: 400;\n src: local('Lato Regular"
},
{
"path": "texconv.py",
"chars": 4027,
"preview": "# -*- coding: utf-8 -*-\n\n# provides tex2unicode and unicode2tex\n\n\n######################################################"
},
{
"path": "zot.py",
"chars": 96108,
"preview": "#!/usr/bin/env python\n# coding: utf-8\n\n\"\"\"Add a fast, interactive Zotero bibiography to your website.\n\nThis tool will re"
}
]
About this extraction
This page contains the full source code of the davidswelt/zot_bib_web GitHub repository, extracted and formatted as plain text for AI agents and large language models (LLMs). The extraction includes 25 files (3.2 MB), approximately 850.9k tokens, and a symbol index with 114 extracted functions, classes, methods, constants, and types. Use this with OpenClaw, Claude, ChatGPT, Cursor, Windsurf, or any other AI tool that accepts text input. You can copy the full output to your clipboard or download it as a .txt file.
Extracted by GitExtract — free GitHub repo to text converter for AI. Built by Nikandr Surkov.