The focus of the Stuttgart Media University (HdM) in the KARLI project is on the evaluation and development of user-centered AI solutions for automated driving vehicles. The goal is to combine a high level of safety with a successful user experience (UX).
Within KARLI, Audi is working on AI-based interactions in the vehicle with regard to person- and context-sensitivity. The goal is for the human-machine interface to behave adaptively based on the user and system state of the individual operating history.
In the KARLI project, Allround Team GmbH is responsible for the studies on the application “Motion Sickness”. The focus is on coordinating, implementing, and evaluating user studies.
In the KARLI project, TWT is working on optimizing human-machine interaction by integrating specific applications. This case focuses on the conception of a voice user interface.
In KARLI, Continental is playing a pivotal role in integrating an intelligent driver monitoring system and an intelligent user interface within an automated vehicle.
Within the KARLI project, studiokurbos focuses on optimizing human-machine interaction through the development of user-centered user interfaces and user experiences. The international design studio draws on all vehicle, environmental and occupant data generated by a KARLI vehicle.
Within KARLI, the Fraunhofer Institute of Optronics, System Technologies and Image Exploitation (IOSB) is developing image-based AI algorithms. In automated vehicles, these are designed to detect when drivers and other occupants are behaving as required by the current level of automation.
The Institute of Human Factors and Technology Management (IAT) at the University of Stuttgart represents a central part of the empirical work in the KARLI project: It collects subjective and objective measurement data for AI-based applications.
INVENSITY will actively participate in the BMWi funding program “Artificial Intelligence as a Key Technology for the Vehicle of the Future” over the next 3 years. The goal of the KARLI project is to develop an adaptive, responsive and level-appropriate interaction between humans and vehicles of the future and to use artificial intelligence (AI) methods … Read more
