<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-09-19T11:54:18Z</responseDate><request verb="GetRecord" identifier="oai:dspace.mit.edu:1721.1/119714" metadataPrefix="dim">https://dspace.mit.edu/server/oai/request</request><GetRecord><record><header><identifier>oai:dspace.mit.edu:1721.1/119714</identifier><datestamp>2026-06-06T00:55:30Z</datestamp><setSpec>com_1721.1_7582</setSpec><setSpec>com_1721.1_7581</setSpec><setSpec>col_1721.1_131023</setSpec></header><metadata><dim:dim xmlns:dim="http://www.dspace.org/xmlns/dspace/dim" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.dspace.org/xmlns/dspace/dim http://www.dspace.org/schema/dim.xsd">
   <dim:field mdschema="dc" element="contributor" qualifier="advisor" lang="en_US">Mikael Jakobsson.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">Shi, Tricia A</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="other" lang="en_US">Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department">Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="accessioned">2018-12-18T19:46:56Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="available">2018-12-18T19:46:56Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="copyright" lang="en_US">2018</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="issued" lang="en_US">2018</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="uri">http://hdl.handle.net/1721.1/119714</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="oclc" lang="en_US">1078636743</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2018.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">This electronic version was submitted by the student author.  The certified thesis is available in the Institute Archives and Special Collections.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Cataloged from student-submitted PDF version of thesis.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Includes bibliographical references (page 12).</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">In this paper, we introduce a tool to transform tabular data into an interactive network map. Compared to previous visualization tools, ours allows for more customization in terms of datasets, connecting nodes, and appearance. We describe three use scenarios where the tool was effective in helping users accomplish tasks related to activities of an academic working within the field of game studies, such as selecting games based on certain criteria, presenting games and traits, and analyzing a growing dataset of games. STAR (Select Traits and Relationships) has been found to be useful in understanding relational aspects of datasets which are hard to get to without interactive visualizations and extensive customization options.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="statementofresponsibility" lang="en_US">by Tricia A. Shi.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="degree" lang="en_US">M.Eng.</dim:field>
   <dim:field mdschema="dc" element="format" qualifier="extent" lang="en_US">12 pages</dim:field>
   <dim:field mdschema="dc" element="language" qualifier="iso" lang="en_US">eng</dim:field>
   <dim:field mdschema="dc" element="publisher" lang="en_US">Massachusetts Institute of Technology</dim:field>
   <dim:field mdschema="dc" element="rights" lang="en_US">MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.</dim:field>
   <dim:field mdschema="dc" element="rights" qualifier="uri" lang="en_US">http://dspace.mit.edu/handle/1721.1/7582</dim:field>
   <dim:field mdschema="dc" element="subject" lang="en_US">Electrical Engineering and Computer Science.</dim:field>
   <dim:field mdschema="dc" element="title" lang="en_US">STAR : a tool for finding relationships between traits in games</dim:field>
   <dim:field mdschema="dc" element="title" qualifier="alternative" lang="en_US">Select Traits and Relationships : a tool for finding relationships between traits in games</dim:field>
   <dim:field mdschema="dc" element="title" qualifier="alternative" lang="en_US">Tool for finding relationships between traits in games</dim:field>
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   	&lt;Title>STAR : a tool for finding relationships between traits in games&lt;/Title>
   	&lt;Subtitle>Select Traits and Relationships : a tool for finding relationships between traits in games&lt;/Subtitle>
   	&lt;Subtitle>Tool for finding relationships between traits in games&lt;/Subtitle>
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    &lt;Keyword>Electrical Engineering and Computer Science.&lt;/Keyword>
   	&lt;Abstract>In this paper, we introduce a tool to transform tabular data into an interactive network map. Compared to previous visualization tools, ours allows for more customization in terms of datasets, connecting nodes, and appearance. We describe three use scenarios where the tool was effective in helping users accomplish tasks related to activities of an academic working within the field of game studies, such as selecting games based on certain criteria, presenting games and traits, and analyzing a growing dataset of games. STAR (Select Traits and Relationships) has been found to be useful in understanding relational aspects of datasets which are hard to get to without interactive visualizations and extensive customization options.&lt;/Abstract>
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