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Using Gaze Behavior to Measure Cognitive Load

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Information Systems and Neuroscience

Part of the book series: Lecture Notes in Information Systems and Organisation ((LNISO,volume 29))

Abstract

Measuring and influencing cognitive load during information processing can be seen as a promising instrument to mitigate the risk of information overload while increasing processing capabilities. In this study, we demonstrate how to use cross-sectional time-series data generated with an eye tracking device to indicate cognitive load levels. Thereby we combine multiple measures related to fixations, saccades and blinks and calculate one comprehensive and robust measure. Applicability is demonstrated by conducting two separate experiments in a decision-making scenario in the context of information visualization.

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Notes

  1. 1.

    Task types and the stimulus material can be downloaded from the author’s homepage.

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Author information

Authors and Affiliations

  1. Management Accounting, University of Applied Sciences Upper Austria, Steyr, Austria

    Lisa Perkhofer

  2. Said Business School, University of Oxford, Oxford, UK

    Othmar Lehner

Authors
  1. Lisa Perkhofer
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  2. Othmar Lehner
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Corresponding author

Correspondence to Lisa Perkhofer .

Editor information

Editors and Affiliations

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

    Fred D. Davis

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

    René Riedl

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

    Jan vom Brocke

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

    Pierre-Majorique Léger

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

    Adriane B. Randolph

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Perkhofer, L., Lehner, O. (2019). Using Gaze Behavior to Measure Cognitive Load. 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 29. Springer, Cham. https://doi.org/10.1007/978-3-030-01087-4_9

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