The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/20254071

Eisma, Yke Bauke; Eijssen, Dirk J; de Winter, Joost (2022): Supplementary data for the paper 'What attracts the driver’s eye? Attention as a function of task and events'. Version 2. 4TU.ResearchData. dataset. https://doi.org/10.4121/20254071.v2

Dataset

x choose version: version 1 - 2022-07-11

• Other Psychology and Cognitive Sciences
• Cognitive Sciences
• Automotive Engineering

Attention, Driving, Eye-tracking

CC BY 4.0

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by Yke Bauke Eisma, Dirk J Eijssen, Joost de Winter

This study explores how drivers of an automated vehicle distribute their attention as a function of environmental events and driving task instructions. Twenty participants were asked to monitor pre-recorded videos of a simulated driving trip while their eye movements were recorded using an eye-tracker. The results showed that eye movements are strongly situation-dependent, with areas of interest (windshield, mirrors, and dashboard) attracting attention when events (e.g., passing vehicles) occurred in those areas. Furthermore, the task instructions provided to participants (i.e., speed monitoring or hazard monitoring) affected their attention distribution in an interpretable manner. It is concluded that eye movements while supervising an automated vehicle are strongly ‘top-down’, i.e., based on an expected value. The results are discussed in the context of the development of driver availability monitoring systems.

• 2022-07-11 first online

• 2022-08-08 published, posted

4TU.ResearchData

.m, .mat, .edf, .txt, .mp4

'What attracts the driver’s eye? Attention as a function of task and events

TU Delft, Faculty of Mechanical, Maritime and Materials Engineering (3mE), Department of Cognitive Robotics