Abstract
Intelligent virtual assistants are now present in our life, fulfilling tasks for helping us in many activities to ease our daily life. These digital technologies integrate diverse functionalities, communicating and cooperating with information systems, with the aim of being appealing to the widest possible range of users. These assistants can be declined in multimodal interfaces to ensure greater User eXperience (UX) in the automotive cockpit. In addition, their design can be personalized and adapted to specific uses and needs. In this paper, we report the design of an efficient virtual assistant (such as a digital twin), to increase the serenity of the journey of the occupants of a connected car, automated or not. In this study, we first aimed to investigate users’ needs and preferences for vehicle assistance through brainstorming and focus group sessions. With the brainstorming sessions, 175 ideas were collected. These propositions were then evaluated in Importance and Innovation with the focus groups sessions. The results tend to show that users’ concerns regarding the assistant increasingly relate to the driver’s well-being, context and environment of the trip, rather than driving itself. Moreover, users want the assistant to intervene before, during and after the trip. The ideas and proposals collected will enable a better fitting of the design of our assistant prototype with user needs and preferences in terms of surface, functional, procedural and behavioral properties.
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Lang, J., Jouen, F., Tijus, C., Uzan, G. (2024). Design of a Virtual Assistant: Collect of User’s Needs for Connected and Automated Vehicles. In: Krömker, H. (eds) HCI in Mobility, Transport, and Automotive Systems. HCII 2024. Lecture Notes in Computer Science, vol 14732. Springer, Cham. https://doi.org/10.1007/978-3-031-60477-5_12
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