Development of AI-Interaction
Intelligent driving of the future requires the development of AI systems that are capable of triggering interactions in the vehicle in a person- and context-sensitive manner. This AI-driven interaction contributes greatly to road safety, takeover quality and user experience in the vehicle.
Due to the varying characteristics of individuals (e.g., cognitive, hedonic), situation-specific requirements in road traffic (e.g., country road driving), and the increasing complexity of vehicle systems (e.g., level of automated driving), adaptability of the operating concept to the user and context must be a core requirement for interaction in intelligent vehicles of the future.
AI-systems are being developed that enable person- and context-sensitive triggering of interactions in the vehicle. In this way, AI-controlled interaction not only makes an important contribution to traffic safety, but also to the quality of the user experience for drivers.
The AI-models control both adaptive functions and adaptive human-machine interaction (HMI).
The development of AI-interactions has several goals. These include the development of various models. Within this framework, models for user experience, AI-models for functions in the vehicle interior, and AI-models for the human-machine interaction of defined functions are being developed. In order to improve the described AI-models, an evaluation and a test person study will be conducted.
The development of an agent system according to the scheme “Ask the right question in the right moment” should lead to an optimal and user-oriented operation. Another aspect of the work package is to develop an operating concept for this system. The derivation of an evaluation guideline for adaptive functions and adaptive human-machine interaction rounds off the objectives of the work package.