{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/108633"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/108633","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Comparing Quadratic Voting and Likert Surveys","abstract":"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.","abstract_html":"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.","abstract_has_math":false,"creators":["Cheng, Ti-Chung"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"M.S.","degree_level":"Thesis","degree_discipline":"Computer Science","degree_department":null,"school":null,"contributors":["Karahalios, Karrie"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2020,"date_issued":"2020-10-07T22:44:42Z","date_published":"2020-10-07T22:44:42Z","updated_at":"2026-07-22T22:24:48Z","subjects":["Mechanism Design","Evaluation Methods","Quadratic Voting","Likert Surveys"],"languages":["en"],"rights":["Copyright 2020 Ti-Chung Cheng"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/2142/108633","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Karahalios, Karrie"]},{"key":"dc:creator","label":"Author","values":["Cheng, Ti-Chung"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2020-10-07T22:44:42Z","2020-07-21","2020-08"]},{"key":"dc:type","label":"Dc Type","values":["text","Thesis"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Computer Science"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Thesis"]},{"key":"thesis:degree_name","label":"Degree Name","values":["M.S."]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["University of Illinois at Urbana-Champaign"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Mechanism Design","Evaluation Methods","Quadratic Voting","Likert Surveys"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["en"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright 2020 Ti-Chung Cheng"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["http://hdl.handle.net/2142/108633"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["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.","Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2022-08-01","The student, Ti-Chung Cheng, accepted the attached license on 2020-07-21 at 11:36.","The student, Ti-Chung Cheng, submitted this Thesis for approval on 2020-07-21 at 11:37.","This Thesis was approved for publication on 2020-07-21 at 13:15.","DSpace SAF Submission Ingestion Package generated from Vireo submission #15709 on 2020-10-02 at 15:33:59","Made available in DSpace on 2020-10-07T22:44:42Z (GMT). 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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.","Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2022-08-01","The student, Ti-Chung Cheng, accepted the attached license on 2020-07-21 at 11:36.","The student, Ti-Chung Cheng, submitted this Thesis for approval on 2020-07-21 at 11:37.","This Thesis was approved for publication on 2020-07-21 at 13:15.","DSpace SAF Submission Ingestion Package generated from Vireo submission #15709 on 2020-10-02 at 15:33:59","Made available in DSpace on 2020-10-07T22:44:42Z (GMT). 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