文献类型：会议论文

英文题名：Research on Intelligent Cabin Design of Camper Vehicle Based on Kano Model and Generative AI

作者：Liu, Miao[1];Zhao, Zeming[1];Qi, Bo[1]

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

会议论文集：6th International Conference on HCI in Mobility, Transport, and Automotive Systems (MobiTAS)

会议日期：JUN 29-JUL 04, 2024

会议地点：Washington, DC

语种：英文

外文关键词：Intelligent vehicle cabin; Generative AI; User experience design

摘要：This study analyzes the functional requirements of different types of camping users in China based on the Kano model and improves the user experience of intelligent cabins using generative AI technology. The research adopts a combination of questionnaire surveys, literature review, and user interviews to construct a Kano model evaluation system. The Better-Worse coefficient method is used to analyze different functional attributes and identify priority sequences. Simultaneously, a detailed analysis is conducted on how generative AI affects interaction modes and interface design. The results reveal that cabin environment adjustment and entertainment functions are basic attributes, while voice navigation and intelligent voice assistants are expected attributes. Information push, intelligent recommendation, emotion recognition, and personalized experience are attractive attributes. Generative AI enables smarter voice interactions and more interesting personalized interfaces. Additionally, this study discusses smart cabin design strategies for camping vehicles based on the differences in functional priority among different user groups. Meeting basic needs is crucial, while customization of software and content design should be emphasized. The introduction of generative AI technology will drive interaction towards personalization, better satisfying diverse user needs.