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Title:Comparing Quadratic Voting and Likert Surveys
Author(s):Cheng, Ti-Chung
Advisor(s):Karahalios, Karrie
Department / Program:Computer Science
Discipline:Computer Science
Degree Granting Institution:University of Illinois at Urbana-Champaign
Degree:M.S.
Genre:Thesis
Subject(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.
Issue Date:2020-07-21
Type:Thesis
URI:http://hdl.handle.net/2142/108633
Rights Information:Copyright 2020 Ti-Chung Cheng
Date Available in IDEALS:2020-10-07
Date Deposited:2020-08


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