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Information Systems and Neuroscience pp 121–127Cite as

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

Part of the Lecture Notes in Information Systems and Organisation book series (LNISO,volume 25)

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.

Keywords

  • Eye-tracking
  • Pupillometry
  • Cognitive load
  • HCI—learning

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  • DOI: 10.1007/978-3-319-67431-5_14
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Fig. 1

Notes

  1. 1.

    http://gizmodo.com/msi-s-eye-tracking-laptop-is-the-future-but-not-the-pr-1758485727.

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Author information

Authors and Affiliations

  1. HEC Montréal, QC, Canada

    Pierre-Majorique Léger & Sylvain Sénécal

  2. Université du Québec à Montréal, QC, Canada

    Patrick Charland & Stéphane Cyr

Authors
  1. Pierre-Majorique Léger
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  2. Patrick Charland
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  3. Sylvain Sénécal
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  4. Stéphane Cyr
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Corresponding author

Correspondence to Pierre-Majorique Léger .

Editor information

Editors and Affiliations

  1. Information Systems and Quantitative Sciences (ISQS), Texas Tech University, Lubbock, Texas, USA

    Prof. Dr. Fred D. Davis

  2. University of Applied Sciences Upper Austria, Steyr, Oberösterreich, Austria

    Prof. Dr. René Riedl

  3. Department of Information Systems, University of Liechtenstein, Vaduz, Liechtenstein

    Prof. Dr. Jan vom Brocke

  4. Department of Information Technology, HEC Montréal, Montreal, Québec, Canada

    Dr. Pierre-Majorique Léger

  5. Department of Information Systems, Kennesaw State University, Kennesaw, Georgia, USA

    Prof. Dr. Adriane B. Randolph

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Léger, PM., Charland, P., Sénécal, S., Cyr, S. (2018). Predicting Properties of Cognitive Pupillometry in Human–Computer Interaction: A Preliminary Investigation. In: Davis, F., Riedl, R., vom Brocke, J., Léger, PM., Randolph, A. (eds) Information Systems and Neuroscience. Lecture Notes in Information Systems and Organisation, vol 25. Springer, Cham. https://doi.org/10.1007/978-3-319-67431-5_14

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