The Effects of Confirmation Bias and Readability on Relevance Assessment: An Eye-Tracking Study

Li Shi () and Jacek Gwizdka ()
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Li Shi: School of Information, The University of Texas at Austin
Jacek Gwizdka: School of Information, The University of Texas at Austin

A chapter in Information Systems and Neuroscience, 2025, pp 137-146 from Springer

Abstract: Abstract This ongoing study is investigating the effects of confirmation bias and document readability on user document relevance judgments in interactive information systems. Preliminary results from a within-subjects eye-tracking experiment suggest a significant interaction between document readability and the level of confirmation bias on user engagement during the relevance evaluation process. Higher readability has been found to enlarge the disparity in reading efforts between relevant and irrelevant documents. Users with higher level of confirmation bias need to engage more attention when evaluating relevance. These initial findings help to elucidate these dynamic relationships and provide insights that could help refine user interface design for more effective and unbiased human information interaction.

Keywords: Relevance assessment; Confirmation bias; Readability; Eye-tracking (search for similar items in EconPapers)
Date: 2025
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DOI: 10.1007/978-3-031-71385-9_11

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