Using Gaze Behavior to Measure Cognitive Load

Lisa Perkhofer () and Othmar Lehner ()
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Lisa Perkhofer: University of Applied Sciences Upper Austria
Othmar Lehner: University of Oxford

A chapter in Information Systems and Neuroscience, 2019, pp 73-83 from Springer

Abstract: 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.

Keywords: Eye tracking; Cognitive load; Structural equation modelling (search for similar items in EconPapers)
Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:spr:lnichp:978-3-030-01087-4_9

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

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