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

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  • Frans van der Sluis
  • Egon L. van den Broek

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

Suggested Citation

  • Frans van der Sluis & Egon L. van den Broek, 2023. "Feedback beyond accuracy: Using eye‐tracking to detect comprehensibility and interest during reading," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 74(1), pages 3-16, January.
    • Handle: RePEc:bla:jinfst:v:74:y:2023:i:1:p:3-16
    DOI: 10.1002/asi.24657
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    References listed on IDEAS

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