Abstract:

With the rapid advancement of intelligent cabin technology， touch - based interaction systems have gradually become a core component of human - vehicle interaction. User experience has become a significant objective in the design and optimization of these systems. In order to enhance the applicability of the current evaluation system in terms of interaction experience， a touch - based interaction evaluation method for Human - Machine Interface （HMI） aimed at improving user experience is proposed in this paper. Based on an analysis of typical evaluation methods such as C - SAEE， C - ICAP， and I - VISTA， a comprehensive evaluation system is designed， covering six dimensions of visual coordination， operational rationality， human - machine convenience， information readability， functional integrity， and safety. Combining subjective user evaluations with objective interaction performance data， the Analytic Hierarchy Process （AHP） is used to set the weights of the evaluation indicators. The validation of the proposed method is carried out on a mid - sized intelligent electric vehicle through a combination of static simulation experiments and dynamic in - vehicle tests. The results show that the constructed method can effectively reflect the overall impact of the touch - based interaction system on user experience. The findings of this research provide a reference for the interaction design of intelligent cabins， human factors engineering evaluation， and the optimization of evaluation systems.

Key words: smart cockpit, human-machine interface, user experience, touch interaction, real vehicle evaluation