Comparing Quadratic Voting and Likert Surveys

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.

Name thesis:degree_name

M.S.

Level thesis:degree_level

Thesis

Discipline thesis:degree_discipline

Computer Science

Grantor

University of Illinois at Urbana-Champaign

Year dc:date

2020

Author dc:creator

• Cheng, Ti-Chung

Contributors dc:contributor

• Karahalios, Karrie

• Mechanism Design
• Evaluation Methods
• Quadratic Voting
• Likert Surveys

Statement dc:rights

• Copyright 2020 Ti-Chung Cheng

Language dc:language

en

Handle dc:identifier

http://hdl.handle.net/2142/108633

OAI identifier oai:identifier

oai:www.ideals.illinois.edu:2142/108633