文献类型：会议论文

英文题名：Research on the Function Design of 5G Intelligent Network Connected Cars Based on Kano Model

作者：Yu, Zheyin[1];Ye, Junnan[1]

机构：[1]East China Univ Sci & Technol, Shanghai 200237, Peoples R China

会议论文集：3rd International Conference on HCI in Mobility, Transport and Automotive Systems (MobiTAS) Held as Part of the 23rd International Conference on Human-Computer Interaction (HCII)

会议日期：JUL 24-29, 2021

会议地点：ELECTR NETWORK

语种：英文

外文关键词：Intelligent network connected car; 5G; Function design; Kano model

摘要：The fifth-generation mobile communication technology (5G) is the latest generation. Under 5G environment, the automatic driving technology will be upgraded, and the automobile networking will be developed, rendering the cars smarter and more closely connected with each other. However, the existing researches all focus on technologies such as autonomous driving, car networking, etc., and lack the researches concentrated on the evolution of car functions under 5G environment. In this paper, the innovative car function research method based on Kano model is constructed, and the promotion of 5Gtechnology to car networking, auto-driving, VR/AR, mobile office and so on is deeply studied. The functional requirements of users are obtained through interviews and expert evaluation methods, and Kano questionnaire survey is carried out as well. By sorting and analyzing the data, the real functional requirements of intelligent network connected car are derived. The core functions are screened through Better-Worse coefficient analysis, and the innovative function model of intelligent network connected cars is thereafter formed. This study makes up for the lack of researches in this field, and constructs the Kano model research method for automobile functions, and simultaneously digs out the users' needs, which has immense theoretical and practical significance. By redesigning the functions of intelligent network connected car under 5G environment, the potential of 5G technology can be activated and the market's satisfaction of intelligent network connected cars can be improved. It also provides a model for the function design of intelligent network connected cars in the future.