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Missed One! How Ballot Layout and Visual Task Strategy Can Interact to Produce Voting Errors

Authors
Mr. Joshua Adam Engels
Rice University ~ Computer Science
Xianni Wang
Rice University ~ Psychological Sciences Department
Michael Byrne
Rice University
Abstract

This paper presents an ACT-R model designed to simulate voting behavior on full-face paper ballots. The model implements a non-standard voting strategy: the strategy votes first from left to right on a ballot and then from top to bottom. We ran this model on 6600 randomly-generated ballots governed by three different variables that affected the visual layout of the ballot. The findings suggest that our model’s error behavior is emergent and sensitive to ballot structure. These results represent an important step towards our goal of creating a software tool capable of identifying bad ballot design.

Discussion
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Liked this paper Last updated 1 year ago

I liked this paper. you should consider publishing this as a journal article.

Frank E Ritter 0 comments
Cite this as:

Engels, J., Wang, X., & Byrne, M. (2020, July). Missed One! How Ballot Layout and Visual Task Strategy Can Interact to Produce Voting Errors. Paper presented at Virtual MathPsych/ICCM 2020. Via mathpsych.org/presentation/148.