Using gaze behavior to measure cognitive load

Lisa Perkhofer*, Othmar Lehner

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

2 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationInformation Systems and Neuroscience : NeuroIS Retreat 2018
EditorsFred D. Davis, René Riedl, Jan vom Brocke, Pierre-Majorique Léger, Adriane B. Randolph
Number of pages11
Place of PublicationCham
PublisherSpringer
Publication date2019
Pages73-83
ISBN (Print)978-3-030-01086-7
ISBN (Electronic)978-3-030-01087-4
DOIs
Publication statusPublished - 2019
MoE publication typeA4 Article in conference proceedings

Publication series

NameLecture Notes in Information Systems and Organisation
Volume29
ISSN (Print)2195-4968
ISSN (Electronic)2195-4976

Keywords

  • Cognitive load
  • Eye tracking
  • Structural equation modelling
  • 512 Business and Management

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  • Cite this

    Perkhofer, L., & Lehner, O. (2019). Using gaze behavior to measure cognitive load. In F. D. Davis, R. Riedl, J. V. Brocke, P-M. Léger, & A. B. Randolph (Eds.), Information Systems and Neuroscience: NeuroIS Retreat 2018 (pp. 73-83). (Lecture Notes in Information Systems and Organisation; Vol. 29). Springer. https://doi.org/10.1007/978-3-030-01087-4_9