Understand and explain decisions of intelligent systems from the user's point of view
We research and design AI systems that meet people's requirements and needs. The focus is on the life cycle of personalized applications such as recommendation systems or decision assistants in the aviation, automotive, healthcare, production and e-commerce sectors. To this end, we create user, domain and task models and use methods of human-computer interaction and machine learning. A particular focus is on making AI decision-making processes comprehensible and strengthening trust in these systems. For example, we develop models and user interfaces that present AI decisions in a transparent and understandable way.
Our aim is to develop practical solutions based on human-centered principles and to promote the integration and acceptance of intelligent systems in cross-industry applications. In doing so, we strive to make the collaboration between humans and AI natural, intuitive, robust and reliable.
