The Role of In-Car AI Assistants in Elevating User Experience and Simplifying the Shift to Autonomous Driving

Abstract

In-car AI assistants emerged in the middle of the 2000s and quickly became an essential part of almost every modern vehicle. Such systems provide many advantages for users, and one of the essential benefits is a gradual shift to autonomous driving. However, in-car AI assistants also come with various problems related to user experience and accountability that affect the overall acceptance of these advanced technologies. In order to evaluate these in-car AI assistants and their future implementation, a decision was made to conduct research on how they elevate the user experience and simplify the shift to autonomous driving. The triangulation method was used to collect necessary primary and secondary, as well as both qualitative and quantitative data. A total of 81 respondents participated in the survey, and three experts in the in-car AI assistants and automotive driving technologies were interviewed. The results from the performed research allowed to review and evaluate the current situation of in-car AI assistants in relation to users. It was revealed that the key factors in elevating the user experience are customization and personalization, along with transparency, easy and intuitive interactions with in-car AI assistants, and overall safety of driving with such systems. Privacy and accountability of in-car AI assistants are the main concerns that slow down the shift to autonomous driving. Addressing these issues and further research of key components is crucial for achieving full autonomy of driving.