Using gaze behavior to measure cognitive load

Lisa Perkhofer; Othmar M. Lehner

doi:10.1007/978-3-030-01087-4_9

Using gaze behavior to measure cognitive load

Lisa Perkhofer, Othmar M. Lehner

Research output: Chapter in Book/Report/Conference proceedings › Chapter › peer-review

27 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 language	English
Title of host publication	Lecture Notes in Information Systems and Organisation
Publisher	Springer
Pages	73-83
Number of pages	11
DOIs	https://doi.org/10.1007/978-3-030-01087-4_9
Publication status	Published - 2019
Event	NeuroIS Retreat 2018 - Vienna, Austria Duration: 19 Jun 2018 → 21 Jun 2018 http://www.neurois.org

Publication series

Name	Lecture Notes in Information Systems and Organisation
Volume	29
ISSN (Print)	2195-4968
ISSN (Electronic)	2195-4976

Conference

Conference	NeuroIS Retreat 2018
Country/Territory	Austria
City	Vienna
Period	19.06.2018 → 21.06.2018
Internet address	http://www.neurois.org

Keywords

Cognitive load
Eye tracking
Structural equation modelling

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10.1007/978-3-030-01087-4_9

Cite this

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KW - Structural equation modelling

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ER -

Using gaze behavior to measure cognitive load

Abstract

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