Philipp Mock

Dr. Philipp Mock serves as a Research Fellow at the Leibniz Institute for Knowledge Media (IWM) in Tübingen, Germany, where he has been a core member of the Media Development Group since 2014. His technical expertise centers on developing machine learning algorithms and AI systems for human-machine interaction, with current responsibilities including software development and methodological consulting for ML applications.

Education:

• PhD in Computer Science, University of Tübingen (2017)
• Diploma in Computer Science, University of Tübingen (2004-2011)

Mock's research integrates Human-Computer Interaction with machine learning to analyze behavioral patterns through interaction data. His work spans multimodal interfaces, educational technology, and cognitive assessment systems, with particular focus on translating touch interaction metrics into predictors of cognitive states (ADHD risk, workload) and developing novel collaborative interfaces for tabletop displays. This interdisciplinary approach bridges computer science, cognitive psychology, and educational design to create adaptive systems that respond to user behavior in real-time.

His publication trajectory reveals a clear evolution from foundational work on interactive surface technologies (2012-2015) toward sophisticated ML applications for behavioral analysis (2016-2018). Current projects like the longitudinal human-AI interaction study (2024-2026) demonstrate continued innovation in understanding long-term dynamics between users and intelligent systems, with strong emphasis on real-world educational and clinical applications.

Mock actively contributes to multiple IWM research labs including Multimodal Interaction, Everyday Media, Perception and Action, and Knowledge Construction. His collaborative projects such as the human-AI interaction study span these labs, reflecting an integrated approach to studying how people interact with increasingly sophisticated AI systems across diverse contexts from museums to educational settings.