The influence of anxiety on visual entropy of experienced drivers

G. Gotardi, Martina Navarro, Paula F. Polastri, Paulo Schor, Dominic Orth, Raoul Oudejans, John van der Kamp, Geert Savelsbergh, Sérgio T. Rodrigues

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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This study tested the use of entropy to identify changes on behavior of drivers under pressure. Sixteen experienced drivers drove in a simulator wearing a head-mounted eye tracker under lowand high-anxiety conditions. Anxiety was induced by manipulating some psychological factors such as peer-pressure. Fixations transitions between AOIs (lane, speedometer and mirrors) were calculated through first-order transition matrix, transformed to Markov probability matrix and adjusted into the entropy equation. Drivers showed greater state-anxiety scores and higher mean heart rates following manipulation. Under anxiety, drivers showed higher visual entropy, indicating a more random scanning. The randomness implies into a poorer acquisition of information and may indicate an impaired top-down control of attention provoked by anxiety
Original languageEnglish
Title of host publicationETVIS '18 Proceedings of the 3rd Workshop on Eye Tracking and Visualization
PublisherAssociation for Computing Machinery (ACM)
Number of pages4
ISBN (Print)978-1-4503-5787-6
Publication statusPublished - 15 Jun 2018
Event2018 ACM Symposium on Eye Tracking Research & Applications: ETRA 2018 - Warsaw, Poland
Duration: 14 Jun 201817 Jun 2018


Conference2018 ACM Symposium on Eye Tracking Research & Applications
Internet address


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