Universität Bielefeld Bielefeld University
Bielefeld University Faculty of Technology
Explainable AI for trustworthy human-agent interaction
Explainable AI for trustworthy human-agent interaction
An example figure setup of the board game Quarto! is shown, next to it there is a game explanation booklet.
Social XAI systems that build partner models to give adaptive explanations
Multimodal conversational AI for socially interactive agents
Multimodal conversational AI for socially interactive agents

Social Cognitive Systems Group

Welcome to the research group for Social Cognitive Systems of the Faculty of Technology and the Center for Cognitive Interaction Technology (CITEC) at Bielefeld University, headed by Prof. Dr.-Ing. Stefan Kopp.

Mission

Modern A.I. systems excel at many tasks, but lack essential capabilities for interacting and cooperating with other intelligent beings. We investigate how A.I. systems can show the level of social, interactive and cooperative behavior that is required for successful human-agent collaboration and teamwork. This research brings together A.I., Cognitive Science and Human-Agent/Robot Interaction: We study human cooperation and communication to develop A.I. methods and models for crucial behavioral or cognitive abilities, including Theory of Mind, collaborative decision-making, nonverbal communication or multimodal dialog. Based on these models we develop socially assistive robots, embodied conversational agents or collaborative A.I. agents and apply them in novel human-agent interaction scenarios in medical, educational or workplace contexts.

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