“How Do I Use This Car?”: The Learnability of Interactive Design for Intelligent Connected Vehicles

With the further development of intelligent networked vehicles, the functions are becoming more and more abundant, so the complexity of the human-vehicle interaction system is increasing. According to the existing research and the market, the future intelligent networked vehicle interaction system will be multi-screen, large-screen, and with rich information, and the operations among different systems will be quite different. Existing studies have further enriched vehicle functions, but few people pay attention to whether these functions can be learned and understood by users. Whether the user can quickly complete the learning of tasks such as driving takeover directly affects his attitude towards autonomous driving. Thus, this paper attempts to conduct a study on the learnability of the human-vehicle interaction system. Based on the analysis of the experimental results, this paper proposes suggestions to improve the learnability of the intelligent vehicle interaction system.