Editors view affiliations Neville Stanton. Reports on cutting-edge human factors contributions to the field of transportation Presents innovative strategies for optimizing human-vehicle interaction Covers a wide spectrum of smart technologies applications. Conference proceedings AHFE Front Matter Pages i-xviii. Front Matter Pages Pages Saeed Vasebi, Yeganeh M. Hayeri, Jing Jin. Bankole K. Page 1 Navigate to page number of 5. The primary objective of the recent study by Maggi and his colleagues Richard Romano and Oliver Carsten was to gain a better understanding of the factors that influence a human driver's behavior during transitions from highly automated driving.
The team hoped that this insight would also shed some light on how current advanced driver assistance systems ADAS could be improved, to better assist drivers during this crucial handover procedure.
Maggi and his colleagues conducted a series of experiments involving a group of human participants. In these tests, they used a non-driving related task to distract participants from the road in front of them while the vehicle was driving autonomously, then examined how they behaved during subsequent handover procedures. While the participants engaged in handover procedures, the researchers recorded different data using an eye-tracker and the steering wheel, as well as information related to the vehicle dynamics.
Subsequently, they analyzed this data using statistical methods. The study carried out by this team of researchers could have important implications for the future development of autonomous and semi- autonomous vehicles.
Most notably, it could encourage the creation of new computational tools and systems that facilitate transitions from autonomous to human driving, reducing the risks of accidents. Explore further. Transitions between highly automated and longitudinally assisted driving: the role of the initiator in the fight for authority.
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