Abstract
Since 2007, when the world's first self-driving car was tested on real roads, smart cars have gradually become the main direction of automotive development. Nowadays, with the development of smart car technology, the car driving mode has seen a huge change, and haptic feedback research of human-computer interaction in human-machine shared control and autonomous driving have gradually become the main contexts of future smart cars. The International Society of Automotive Engineering (ISAE) has divided different autonomous vehicle behaviors into six levels from L0 to L5. In the automation level L0-L3 smart cars, people are indispensable in the whole driving process, while the automation level L4-L5 smart cars do not need people to participate in driving tasks at all. However, due to various factors such as automotive technology, laws and regulations, and morality and ethics, humans will remain the participants and dominators of car driving in the foreseeable future. At the same time, the new iterations of smart car in-vehicle devices are leading to the gradual failure of classical car interaction feedback. Among these interactive feedback, haptic is a real physical feedback, which is an important way for humans to receive physical information about objective things. Haptic feedback allows the driver to obtain timely information about the proximal environment and vehicle movement, which can directly affect the driver's next driving behavior. In addition, haptic feedback also has the ability to carry emotion. The haptic feedback of different interaction objects will bring different experiences to the driver.
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Xiao, J. (2023). Haptic Feedback Research of Human-Computer Interaction in Human-Machine Shared Control Context of Smart Cars. In: Stephanidis, C., Antona, M., Ntoa, S., Salvendy, G. (eds) HCI International 2023 Posters. HCII 2023. Communications in Computer and Information Science, vol 1836. Springer, Cham. https://doi.org/10.1007/978-3-031-36004-6_16
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DOI: https://doi.org/10.1007/978-3-031-36004-6_16
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