Research Groups of the Faculty of Technology

The Human-Centered Artificial Intelligence research group, led by Prof. Dr. Hanna Drimalla, is dedicated to advancing AI technologies that analyze social signals to enhance human-AI interactions.

Our interdisciplinary team employs diverse data modalities — such as facial expressions, gaze, vocal cues, heart rate, and digital communication patterns — utilizing machine learning, audio, and image processing techniques. To gather realistic data and implement our innovative methods in clinical practice, we collaborate with psychological and medical institutes around the world.

By leveraging AI to assess social interaction behavior and psychosocial distress, our work aids clinical diagnosis and enriches behavioral research. Committed to a human-centered approach, we emphasize fairness, practicality, and transparency. In line with this, we also focus on explainable AI within the field of human interaction behavior. Our overarching aim is to develop AI tools that are both scientifically robust and ethically sound, ensuring their effective application in real-world settings.