Audiovisual messages may improve the processing of traffic information and driver attention during partially automated driving: An EEG study

Autor: Marina Pi-Ruano, Alexandra Fort, Pilar Tejero, Christophe Jallais, Javier Roca
Jazyk: angličtina
Rok vydání: 2024
Předmět:
Zdroj: Cognitive Research, Vol 9, Iss 1, Pp 1-16 (2024)
Druh dokumentu: article
ISSN: 2365-7464
DOI: 10.1186/s41235-024-00580-8
Popis: Abstract Partially autonomous vehicles can help minimize human errors. However, being free from some driving subtasks can result in a low vigilance state, which can affect the driver’s attention towards the road. The present study first tested whether drivers of partially autonomous vehicles would benefit from the addition of auditory versions of the messages presented in variable message signs (VMS), particularly, when they find themselves in a monotonous driving situation. A second aim was to test whether the addition of auditory messages would also produce an indirect effect on the driver’s vigilance, improving performance on other driving subtasks not related to the message processing. Forty-three volunteers participated in a driving simulator study. They completed two tasks: (a) a VMS task, where they had to regain manual control of the car if the VMS message was critical, and (b) a car-following task, where they had to pay attention to the preceding car to respond to occasional brake events. Behavioral and EEG data were registered. Overall, results indicated that the addition of audio messages helped drivers process VMS information more effectively and maintain a higher level of vigilance throughout the driving time. These findings would provide useful information for the development of partially automated vehicles, as their design must guarantee that the driver remains attentive enough to assume control when necessary.
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