Using gaze behavior to measure cognitive load

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

4 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 publicationLecture Notes in Information Systems and Organisation
PublisherSpringer
Pages73-83
Number of pages11
DOIs
Publication statusPublished - 2019
EventNeuroIS Retreat 2018 - Vienna, Austria
Duration: 19 Jun 201821 Jun 2018
http://www.neurois.org

Publication series

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

Conference

ConferenceNeuroIS Retreat 2018
Country/TerritoryAustria
CityVienna
Period19.06.201821.06.2018
Internet address

Keywords

  • Cognitive load
  • Eye tracking
  • Structural equation modelling

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