Automated Driving Systems: Impact of Haptic Guidance on Driving Performance after a Take Over Request
Walter Morales-Alvarez, Novel Certad, Hadj. Hamma Tadjine, Cristina, Olaverri-Monreal

TL;DR
This study investigates how haptic guidance systems influence driver performance after a takeover request in automated driving, showing improvements in safety and reaction times during obstacle avoidance.
Contribution
It provides empirical evidence that haptic guidance enhances safety and performance in automated driving scenarios after takeover requests.
Findings
Reduced lateral error with haptic guidance
Faster reaction times to obstacles
Fewer collisions during takeovers
Abstract
In conditional automation, a response from the driver is expected when a take over request is issued due to unexpected events, emergencies, or reaching the operational design domain boundaries. Cooperation between the automated driving system and the driver can help to guarantee a safe and pleasant transfer if the driver is guided through a haptic guidance system that applies a slight counter-steering force to the steering wheel. We examine in this work the impact of haptic guidance systems on driving performance after a take over request was triggered to avoid sudden obstacles on the road. We studied different driver conditions that involved Non-Driving Related Tasks (NRDT). Results showed that haptic guidance systems increased road safety by reducing the lateral error, the distance and reaction time to a sudden obstacle and the number of collisions.
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Taxonomy
TopicsHuman-Automation Interaction and Safety · Traffic and Road Safety · Safety Warnings and Signage
