Abstract
The human-machine interface is the main channel of human-vehicle communication in the process of human-machine co-driving. The display form of the interface information affects the driver's perception of the current driving status, which in turn generates a different state of trust. Therefore, this paper takes improving user's driving trust as the research basis and intelligent vehicle system interface information requirements as the research content, through users' subjective scoring of different driving trust levels presented by the interface information, the scored interface information is clustered and analyzed, and finally a driving trust-oriented intelligent system interface information priority design framework is constructed, which provides a theoretical reference and basis for solving the interface design of intelligent vehicle system for the purpose of trust calibration. It provides a theoretical reference and basis for solving the interface design of intelligent vehicle system for trust calibration.
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Shanghai Pujiang Talent Program Project No. 21PJC032; National Natural Science Foundation of China Project No. 52205264.
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Qi, G. (2022). Research on Information Design of Intelligent Vehicle System Interface Based on Driver Trust. In: Stephanidis, C., Antona, M., Ntoa, S., Salvendy, G. (eds) HCI International 2022 – Late Breaking Posters. HCII 2022. Communications in Computer and Information Science, vol 1655. Springer, Cham. https://doi.org/10.1007/978-3-031-19682-9_52
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DOI: https://doi.org/10.1007/978-3-031-19682-9_52
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