Feedback beyond accuracy: Using eye-tracking to detect comprehensibility and interest during reading

Frans van der Sluis*, Egon L. van den Broek

*Corresponding author af dette arbejde

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

3 Citationer (Scopus)
13 Downloads (Pure)

Abstract

Knowing what information a user wants is a paramount challenge to information science and technology. Implicit feedback is key to solving this challenge, as it allows information systems to learn about a user's needs and preferences. The available feedback, however, tends to be limited and its interpretation shows to be difficult. To tackle this challenge, we present a user study that explores whether tracking the eyes can unpack part of the complexity inherent to relevance and relevance decisions. The eye behavior of 30 participants reading 18 news articles was compared with their subjectively appraised comprehensibility and interest at a discourse level. Using linear regression models, the eye-tracking signal explained 49.93% (comprehensibility) and 30.41% (interest) of variance (p <.001). We conclude that eye behavior provides implicit feedback beyond accuracy that enables new forms of adaptation and interaction support for personalized information systems.

OriginalsprogEngelsk
TidsskriftJournal of the Association for Information Science and Technology
Vol/bind74
Udgave nummer1
Sider (fra-til)3-16
Antal sider14
ISSN2330-1635
DOI
StatusUdgivet - 2023

Bibliografisk note

Publisher Copyright:
© 2022 The Authors. Journal of the Association for Information Science and Technology published by Wiley Periodicals LLC on behalf of Association for Information Science and Technology.

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