Using gaze behavior to measure cognitive load

Research output: Chapter in Book/Report/Conference proceedingsChapterpeer-review

4 Citations (Scopus)


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 publicationLecture Notes in Information Systems and Organisation
PublisherSpringer Heidelberg
Number of pages11
Publication statusPublished - 2019
EventNeuroIS Retreat 2018 - Vienna, Austria
Duration: 19 Jun 201821 Jun 2018

Publication series

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


ConferenceNeuroIS Retreat 2018
Internet address


  • Cognitive load
  • Eye tracking
  • Structural equation modelling

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