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Predicting Properties of Cognitive Pupillometry in Human–Computer Interaction: A Preliminary Investigation

In: Information Systems and Neuroscience

Author

Listed:
  • Pierre-Majorique Léger

    (HEC Montréal)

  • Patrick Charland

    (Université du Québec à Montréal)

  • Sylvain Sénécal

    (HEC Montréal)

  • Stéphane Cyr

    (Université du Québec à Montréal)

Abstract

This paper aims to investigate the predictive property of pupil dilation in an IT-related task. Previous work in the field of cognitive pupillometry has established that pupil size is associated with cognitive load. We conducted a within-subject experiment with 22 children aged between 7 and 9. For the hard questions, visit duration, pupil size and its quadratic effect were significant predictors. We discuss the potential of using this unobtrusive approach for neuro-adaptive and auto-adaptive applications.

Suggested Citation

  • Pierre-Majorique Léger & Patrick Charland & Sylvain Sénécal & Stéphane Cyr, 2018. "Predicting Properties of Cognitive Pupillometry in Human–Computer Interaction: A Preliminary Investigation," Lecture Notes in Information Systems and Organization, in: Fred D. Davis & René Riedl & Jan vom Brocke & Pierre-Majorique Léger & Adriane B. Randolph (ed.), Information Systems and Neuroscience, pages 121-127, Springer.
    • Handle: RePEc:spr:lnichp:978-3-319-67431-5_14
    DOI: 10.1007/978-3-319-67431-5_14
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