Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6973667 | Journal of Safety Research | 2017 | 7 Pages |
Abstract
Drivers' visual search patterns during visual-manual distraction with a high scanning randomness and a high proportion of eye glance transitions towards the location of the phone provide insight into driver distraction detection. This will help to inform the design of in-vehicle human-machine interface/systems.
Related Topics
Physical Sciences and Engineering
Chemical Engineering
Chemical Health and Safety
Authors
Yuan Wang, Shan Bao, Wenjun Du, Zhirui Ye, James R. Sayer,