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Reem Jalal Eddine; Claudio Mulatti; Francesco N. Biondi – Cognitive Research: Principles and Implications, 2024
The use of partially-automated systems require drivers to supervise the system functioning and resume manual control whenever necessary. Yet literature on vehicle automation show that drivers may spend more time looking away from the road when the partially-automated system is operational. In this study we answer the question of whether this…
Descriptors: Motor Vehicles, Attention Control, Artificial Intelligence, Eye Movements
Nicholas J. Wyche; Mark Edwards; Stephanie C. Goodhew – Cognitive Research: Principles and Implications, 2024
The Useful Field of View task (UFOV) is a strong and reliable predictor of crash risk in older drivers. However, while the functional domain of attention is clearly implicated in UFOV performance, the potential role of one specific attentional process remains unclear: attentional breadth (the spatial extent of the attended region around the point…
Descriptors: Task Analysis, Older Adults, Attention Control, Risk
Marina Pi-Ruano; Alexandra Fort; Pilar Tejero; Christophe Jallais; Javier Roca – Cognitive Research: Principles and Implications, 2024
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…
Descriptors: Brain Hemisphere Functions, Diagnostic Tests, Task Analysis, Motor Vehicles