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        <identifier>oai:www.ideals.illinois.edu:2142/108633</identifier>
        <datestamp>2023-07-11</datestamp>
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          <dc:identifier>http://hdl.handle.net/2142/108633</dc:identifier>
          <dc:contributor>Karahalios, Karrie</dc:contributor>
          <dc:creator>Cheng, Ti-Chung</dc:creator>
          <dc:date>2020-10-07T22:44:42Z</dc:date>
          <dc:date>2020-10-07T22:44:42Z</dc:date>
          <dc:date>2020-07-21</dc:date>
          <dc:date>2020-08</dc:date>
          <dc:description>Likert surveys have existed for many decades. In this thesis, we compared it with Quadratic Voting, or QV, a voting mechanism designed to facilitate collective decision making. We compared the two surveying methods under scenarios in which a decision-maker had to choose among K options. First, we created a pretest that demonstrated the transferability of QV to an HCI context. We designed a large scale experiment that assigned Likert Surveys, QV surveys, and a donation task to participants and compared how an individual behaves differently between either survey and their donation response. We implemented a Bayesian statistical model and analyzed the results. Our conclusion showed QV aligned more closely with user preferences than Likert surveys through qualitative and quantitative analysis.</dc:description>
          <dc:description>Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2022-08-01</dc:description>
          <dc:description>The student, Ti-Chung Cheng, accepted the attached license on 2020-07-21 at 11:36.</dc:description>
          <dc:description>The student, Ti-Chung Cheng, submitted this Thesis for approval on 2020-07-21 at 11:37.</dc:description>
          <dc:description>This Thesis was approved for publication on 2020-07-21 at 13:15.</dc:description>
          <dc:description>DSpace SAF Submission Ingestion Package generated from Vireo submission #15709 on 2020-10-02 at 15:33:59</dc:description>
          <dc:description>Made available in DSpace on 2020-10-07T22:44:42Z (GMT). No. of bitstreams: 2
CHENG-THESIS-2020.pdf: 2353923 bytes, checksum: 681b5cb21ccba63c0d95f0fd41a69dc9 (MD5)
LICENSE.txt: 4211 bytes, checksum: 9b3e1d6a355bf49d713463afe2ed0188 (MD5)
  Previous issue date: 2020-07-21</dc:description>
          <dc:description>Embargo set by: Seth Robbins for item 116260
Lift date: 2022-10-07T22:44:53Z
Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD system</dc:description>
          <dc:description>Open Restriction set for Item 116260 on 2021-02-05T15:27:33Z with date null by madinag@illinois.edu.</dc:description>
          <dc:description>Open Restriction set for Item 116260 on 2021-02-05T15:27:38Z with date null by madinag@illinois.edu.</dc:description>
          <dc:description>Open</dc:description>
          <dc:format>application/pdf</dc:format>
          <dc:language>en</dc:language>
          <dc:rights>Copyright 2020 Ti-Chung Cheng</dc:rights>
          <dc:subject>Mechanism Design</dc:subject>
          <dc:subject>Evaluation Methods</dc:subject>
          <dc:subject>Quadratic Voting</dc:subject>
          <dc:subject>Likert Surveys</dc:subject>
          <dc:title>Comparing Quadratic Voting and Likert Surveys</dc:title>
          <dc:type>text</dc:type>
          <dc:type>Thesis</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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