Director of Research (if dissertation) or Advisor (if thesis)
Karahalios, Karrie
Department of Study
Computer Science
Discipline
Computer Science
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
M.S.
Degree Level
Thesis
Keyword(s)
Mechanism Design
Evaluation Methods
Quadratic Voting
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.
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