Scientist with expertise in Automotive Human Factors, User Centred AI, HMI and Driver States. Research, development and evaluation on UX, usability and acceptance. Federal applications for national and European research programmes. Project planning, project management and development of new competencies. He is a Machine-savvy driving simulator and researches what future assistance systems and displays in cars must look like so that they have a positive effect on our experience and behaviour. After all, you can never have enough fun with mobility in the future.

At Fraunhofer IOSB 800 researchers work on optics and image recognition. The team perceptual user interfaces works on computer vision for automotive incabin sensing and develops a multi modal foundation model to flexibly answer all possible questions about the cabin interior and passengers. We provide a modular and flexible toolkit to rapidly create proof-of-concept demos and evaluations related to in cabin sensing. We research the latest algorithms for image recognition and evaluate their potential for measuring complex driver states such as cognitive attention, sleep and relaxation and other general situations in the passenger car or truck cabin.