Academic Career and Research Areas:
Jonathan Liebers holds a B.Sc. and an M.Sc. in Applied Computer Science – Systems Engineering, as well as a doctorate in Human-Computer Interaction from the University of Duisburg-Essen. In March 2026, he joined the Human-AI Interaction group at RC Trust as a postdoctoral researcher. His research lies at the intersection of human-computer interaction, machine learning, and extended reality, with a focus on intelligent, human-centered systems. He is particularly interested in how human behavior can enable seamless and secure user interactions, and how the potential of Agentic AI can transform security-related interactions to make them helpful and friendly to the user.
Key Publications:
- Jonathan Liebers, Patrick Laskowski, Florian Rademaker, Leon Sabel, Jordan Hoppen, Uwe Gruenefeld, and Stefan Schneegass. 2024. Kinetic Signatures: A Systematic Investigation of Movement-Based User Identification in Virtual Reality. In Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems (CHI '24). Association for Computing Machinery, New York, NY, USA, Article 783, 1–19. https://doi.org/10.1145/3613904.364247
- Jonathan Liebers, Mark Abdelaziz, Lukas Mecke, Alia Saad, Jonas Auda, Uwe Gruenefeld, Florian Alt, and Stefan Schneegass. 2021. Understanding User Identification in Virtual Reality Through Behavioral Biometrics and the Effect of Body Normalization. In Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems (CHI '21). Association for Computing Machinery, New York, NY, USA, Article 517, 1–11. https://doi.org/10.1145/3411764.3445528
- Jonathan Liebers, Christian Burschik, Uwe Gruenefeld, and Stefan Schneegass. 2023. Exploring the Stability of Behavioral Biometrics in Virtual Reality in a Remote Field Study: Towards Implicit and Continuous User Identification through Body Movements. In Proceedings of the 29th ACM Symposium on Virtual Reality Software and Technology (VRST '23). Association for Computing Machinery, New York, NY, USA, Article 30, 1–12. doi.org/10.1145/3611659.3615696