Using pupillometry and gaze-based metrics for understanding drivers’ mental workload during automated driving

Radhakrishnan, V., Louw, T., Gonçalves, R.C. et al. (3 more authors) (2023) Using pupillometry and gaze-based metrics for understanding drivers’ mental workload during automated driving. Transportation Research Part F: Traffic Psychology and Behaviour, 94. pp. 254-267. ISSN 1369-8478

Abstract

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Item Type: Article
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© 2023 The Author(s). This is an open access article under the terms of the Creative Commons Attribution License (CC-BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited.

Keywords: Mental Workload, Car-following, Takeovers, Pupil diameter, Gaze, Visual attention
Dates:
  • Published: April 2023
  • Published (online): 3 March 2023
  • Accepted: 26 February 2023
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Environment (Leeds) > Institute for Transport Studies (Leeds)
Funding Information:
Funder
Grant number
EU - European Union
723051
Depositing User: Symplectic Publications
Date Deposited: 27 Mar 2025 10:37
Last Modified: 27 Mar 2025 10:37
Status: Published
Publisher: Elsevier
Identification Number: 10.1016/j.trf.2023.02.015
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