ZiF Research Group
Cognitive Behavior of Humans, Animals, and Machines:
Situation Model Perspectives
October 2019 – July 2020
Convenors: Werner Schneider (Bielefeld, GER), Helge Ritter (Bielefeld, GER)
Stefan Kopp (Bielefeld University) obtained his PhD in Artificial Intelligence for work on realtime multimodal virtual agents. After a postdoc research stay at Northwestern University (IL) and a Junior Research Group Leadership, he became head of the "Social Cognitive Systems" research group, principal investigator at the Center of Excellence "Cognitive Interaction Technology" (CITEC), and professor of Computer Science at the Faculty of Technology, Bielefeld University. Stefan is a former research fellow of the Center for Interdisciplinary Research (Bielefeld), deputy coordinator of the CRC 673 "Alignment in Communication", and chairman of the German Society for Cognitive Science (GK). He has co-authored more than 250 papers, has won six best paper awards, and is associate editor or editorial board member of several international journals. He has been part coordinator or principal investigator of several research projects at the national (DFG, BMBF) and international level (EU).
Current Main Research Interests
Stefan Kopp's research focuses on the empirical and computational investigation of the cognitive mechanisms of social interaction and its modeling in interactive artificial systems. Current research interests include the development of co-verbal communication, adaptive conversational behavior based on anticipatory partner models, situated model-switching in theory of mind/mentalizing, and the interplay of predictive sensorimotor and social cognitive processes in embodied architectures. Stefan's projects combine methods of Bayesian cognitive modeling and machine learning with the design, realization and empirical evaluation of social robots or interactive 3D virtual characters.
Five selected publications with particular relevance to the Research Group
- Buschmeier, H. & Kopp, S. (2018). Communicative listener feedback in human-agent interaction: Artificial speakers need to be attentive and adaptive. Proceedings of the 17th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2018).
- Kahl, S., & Kopp, S. (2018). A predictive processing model of perception and action for self-other distinction. Frontiers in Psychology, 9, 2421. doi:10.3389/fpsyg.2018.02421
- Pöppel, J. & Kopp, S. (2018). Satisficing models of Bayesian Theory of Mind for explaining behavior of differently uncertain agents. Proceedings of the 17th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2018).
- Schodde, T., Bergmann, K., & Kopp, S. (2017). Adaptive robot language tutoring based on Bayesian knowledge tracing and predictive decision-making. Proceedings of ACM/IEEE HRI 2017, 128-136. ACM Press. doi:10.1145/2909824.3020222
- Kopp, S. (2010). Social resonance and embodied coordination in face-to-face conversation with artificial interlocutors. Speech Communication, 52, 587-597. doi:10.1016/j.specom.2010.02.007