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        <identifier>oai:www.ideals.illinois.edu:2142/105842</identifier>
        <datestamp>2023-07-11</datestamp>
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        <thesis xmlns="http://www.ndltd.org/standards/metadata/etdms/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:dc="http://purl.org/dc/elements/1.1/" xsi:schemaLocation="http://www.ndltd.org/standards/metadata/etdms/1.1/ http://www.ndltd.org/standards/metadata/etdms/1.1/etdms11.xsd http://purl.org/dc/elements/1.1/ http://www.ndltd.org/standards/metadata/etdms/1.1/etdmsdc.xsd">
          <dc:contributor>Kumar, Ranjitha</dc:contributor>
          <dc:creator>Melvin, Oliver</dc:creator>
          <dc:date>2019-11-26T20:49:36Z</dc:date>
          <dc:date>2019-11-26T20:49:36Z</dc:date>
          <dc:date>2021-11-27T10:15:30Z</dc:date>
          <dc:date>2019-07-19</dc:date>
          <dc:date>2019-08</dc:date>
          <dc:description>Mobile interaction mining allows everyday interaction data to be mined for insights into the best performing design patterns, usability problems, and overall design trends. So far, this data has primarily come from automated application exploration or crowdworkers completing smartphone tasks as part of a study. Both of these methods have a primary issue that the interaction patterns do not quite align with how everyday users interact with applications. However, mining interaction traces that contain personally identifiable information from real users presents a problem, mainly when that data is to be published. This thesis provides an exploratory look at the data curation and privacy considerations required to share mobile application interaction data publicly. Regarding the privacy side, we will focus on applications in the Finance and Health categories.</dc:description>
          <dc:description>Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2021-08-01</dc:description>
          <dc:description>The student, Oliver Melvin, accepted the attached license on 2019-07-19 at 00:13.</dc:description>
          <dc:description>The student, Oliver Melvin, submitted this Thesis for approval on 2019-07-19 at 00:16.</dc:description>
          <dc:description>This Thesis was approved for publication on 2019-07-19 at 08:23.</dc:description>
          <dc:description>DSpace SAF Submission Ingestion Package generated from Vireo submission #14387 on 2019-11-26 at 13:06:22</dc:description>
          <dc:description>Made available in DSpace on 2019-11-26T20:49:36Z (GMT). No. of bitstreams: 2
MELVIN-THESIS-2019.pdf: 14089411 bytes, checksum: 920e1280723f975b4246baa8eb052e33 (MD5)
LICENSE.txt: 4210 bytes, checksum: ed8a492b7b20ee6c4045e3762ec240c4 (MD5)
  Previous issue date: 2019-07-19</dc:description>
          <dc:description>Embargo set by: Seth Robbins for item 112987
Lift date: 2021-11-26T20:49:41Z
Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD system</dc:description>
          <dc:description>U of I Only Restriction Lifted for Item 112987 on 2021-11-27T10:15:30Z.</dc:description>
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          <dc:identifier>http://hdl.handle.net/2142/105842</dc:identifier>
          <dc:language>en</dc:language>
          <dc:rights>Copyright 2019 Oliver Melvin</dc:rights>
          <dc:subject>Interaction Mining</dc:subject>
          <dc:subject>Mobile UX</dc:subject>
          <dc:subject>Mobile Privacy</dc:subject>
          <dc:subject>HCI</dc:subject>
          <dc:title>Curation and privacy in mobile application UI repositories</dc:title>
          <dc:type>text</dc:type>
          <dc:type>text</dc:type>
          <degree>
            <department>Computer Science</department>
            <discipline>Computer Science</discipline>
            <grantor>University of Illinois at Urbana-Champaign</grantor>
            <level>Thesis</level>
            <name>M.S.</name>
          </degree>
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