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Using Gaze Behavior to Measure Cognitive Load

In: Information Systems and Neuroscience

Author

Listed:
  • Lisa Perkhofer

    (University of Applied Sciences Upper Austria)

  • Othmar Lehner

    (University of Oxford)

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.

Suggested Citation

  • Lisa Perkhofer & Othmar Lehner, 2019. "Using Gaze Behavior to Measure Cognitive Load," 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 73-83, Springer.
    • Handle: RePEc:spr:lnichp:978-3-030-01087-4_9
    DOI: 10.1007/978-3-030-01087-4_9
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    Cited by:

    1. Lisa Perkhofer & Conny Walchshofer & Peter Hofer, 2020. "Does design matter when visualizing Big Data? An empirical study to investigate the effect of visualization type and interaction use," Journal of Management Control: Zeitschrift für Planung und Unternehmenssteuerung, Springer, vol. 31(1), pages 55-95, April.

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