Abstract
With the rapid development of smart car technology and the rapid rise of automotive human-machine interface design, it is necessary to explore the direction of smart car human-machine interface design. The purpose of this paper is to propose reference principles for the design of human-machine interface for smart cars, so as to improve the user experience of smart cars. The research method takes the design of Desay SV G6 intelligent cockpit system as an example, and the research adopts the methods of desktop research, expert interview and innovation workshop. At the same time, the basic data used in the design of intelligent vehicle man-machine interface is obtained by observing the user's driving behavior and driving experience map. Then, combined with the development trend and current situation of intelligent vehicle interaction design, the relevant cases are summarized, This paper discusses the design direction of man-machine interface for intelligent vehicle. It is concluded that the human-machine interface design direction of smart cars is mainly reflected in three aspects: gentle intelligence, efficient human-machine interaction and emotion. Let users feel mild intelligence before use. In combination with the future human-computer interaction design trend, multi-channel integrated interaction and intelligent emotional interaction mode are used to enable users to complete in vehicle interaction efficiently, Finally, based on emotional interactive experience, link the travel partnership between smart car and users.
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References
Tan, H., Sun, J., Guan, D.: Research on the development trend of human-computer interaction in smart cars. Packaging Eng. 40(20), 32–42 (2019)
Tan, H., Sun, J., Guan, D.: Development trend of human: computer interaction in intelligent vehicles. Packaging Eng. 40(20), 32–42 (2019)
Gao, H., Li, B., Han, T.: Research on the future development trend of automobile human-computer interaction system. Packaging Eng. 39(22), 22–28 (2018)
Gao, H., Li, B., Han, T.: Development trend of future automotive HMI system. Packaging Eng. 40(20), 32–42 (2019)
Pitts, M.J., Burnett, G., Skrypchuk, L., et al.: Visual Haptic feedback interaction in automotive touch- screens. Displays 33(1), 7–16 (2012)
Chai, M., Li, S.W., Sun, W.C., et al.: Drowsiness monitoring based on steering wheel status. Transp. Res. Part D: Transp. Environ. (2018)
Li, J., Yuan, P., Zhang, Y.: From industrial aesthetics to intelligent aesthetics. Packaging Eng. 43(2), 29–34 (2022)
Shi, W., Li, C., Yang, M., Chen, R.: User interface based on natural interaction design for seniors. Comput. Hum. Behav. 75, 147–159 (2017)
Yang, M., Tao, J., Hao, L., et al.: Multi-channel man-machine dialogue system for natural interaction. Comput. Sci. 41(10), 12–18 (2014)
Liu, G., Li, S.: The future development trend of product design based on emotional design. Art Technol. 32(2), 195 (2019)
Zhou, X.: Research on the design of interesting products based on emotion. Sci. Technol. Wind 377(9), 218 (2019)
Fu, Y., Peng, J., Li, S.: Product design direction and practice based on emotional design. Packaging Eng. 42(12), 228–231 (2021)
Mi, L.: Research on product design requirements under the concept of green design. Arts Life 3, 42 (2019)
Zhang, Z., Zhu, L., Fu, G.: Research on the application of emotional design in product design. Sci. Herald 22, 53 (2015)
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Yang, Z., Zeng, J., Huang, X., Lu, Y. (2022). Research on Man-Machine Interface Design Based on Intelligent Vehicle. In: Rau, PL.P. (eds) Cross-Cultural Design. Product and Service Design, Mobility and Automotive Design, Cities, Urban Areas, and Intelligent Environments Design. HCII 2022. Lecture Notes in Computer Science, vol 13314. Springer, Cham. https://doi.org/10.1007/978-3-031-06053-3_19
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