Haptic feedback of front car motion can improve driving control
Xiaoxiao Cheng, Xianzhe Geng, Yanpei Huang, Etienne Burdet
- 发表年份
- 2024
- 访问权限
- 开放获取
摘要
This study investigates the role of haptic feedback in a car-following scenario, where information about the motion of the front vehicle is provided through a virtual elastic connection with it. Using a robotic interface in a simulated driving environment, we examined the impact of varying levels of such haptic feedback on the driver's ability to follow the road while avoiding obstacles. The results of an experiment with 15 subjects indicate that haptic feedback from the front car's motion can significantly improve driving control (i.e., reduce motion jerk and deviation from the road) and reduce mental load (evaluated via questionnaire). This suggests that haptic communication, as observed between physically interacting humans, can be leveraged to improve safety and efficiency in automated driving systems, warranting further testing in real driving scenarios.
关键词
相关论文
The Uncanny Valley [From the Field]
Masahiro Mori, Karl F. MacDorman, Norri Kageki
2012
Measurement Instruments for the Anthropomorphism, Animacy, Likeability, Perceived Intelligence, and Perceived Safety of Robots
Christoph Bartneck, Dana Kulić, Elizabeth A. Croft 等 4 位作者
2008
The development of Honda humanoid robot
Kazuo Hirai, Masato Hirose, Y. Haikawa 等 4 位作者
2002
A Meta-Analysis of Factors Affecting Trust in Human-Robot Interaction
Peter A. Hancock, Deborah R. Billings, Kristin E. Schaefer 等 6 位作者
2011