Cognition-centered Human-Robot Interaction (KogWis2022 Symposium)

Organizers:

Prof. Dr. Nele Rußwinkel, Technische Universität Berlin, Institut für Psychologie und Arbeitswissenschaft, Fachgebiet Kognitive Modellierung in dynamischen Mensch-Maschine- Systemen

Prof. Dr. Eva Wiese, Technische Universität Berlin, Institut für Psychologie und Arbeitswissenschaft, Fachgebiet Kognitionspsychologie und Kognitive Ergonomie

Linda Heimisch, M.Sc., Technische Universität Berlin, Institut für Psychologie und Arbeitswissenschaft, Fachgebiet Kognitive Modellierung in dynamischen Mensch-Maschine- Systemen

Participants:

Prof. Dr. Eva Wiese, Technische Universität Berlin, Institut für Psychologie und Arbeitswissenschaft, Fachgebiet Kognitionspsychologie und Kognitive Ergonomie: Working title: Robots as social agents: Challenges and insights from social neuroscience

Linda Heimisch, M.Sc., Technische Universität Berlin, Institut für Psychologie und Arbeitswissenschaft, Fachgebiet Kognitive Modellierung in dynamischen Mensch-Maschine- Systemen
Working title: What can cognitive modelling do for Human-Robot Interaction?

Prof. Dr.-Ing. Stefan Kopp, Universität Bielefeld, AG Kognitive Systeme und soziale Interaktion

Working title: Models of dynamic social cognition and behavior for human-aware HRI

Dr. Chenxu Hao, Friedrich-Alexander-Universität Erlangen-Nürnberg, Department Elektrotechnik-Elektronik-Informationstechnik, Lehrstuhl für Autonome Systeme und Mechatronik:
Working title: Integrating models of cognitive and physical Human-Robot Interaction

Abstract:

With progressing development in the field of autonomous agents in the context of both social and industrial robotics, the interaction of humans and robots becomes an increasingly important field of research. Psychological research on human-robot interaction in large part focuses on cooperation, collaboration and co-existence of humans and robots. While in this field a substantial ground of research already exists on ergonomics and usability, our symposium aims to focus on a cognitive science perspective on the topic. From a cognitive point of view, the interaction of humans and robots can be thought of as simultaneous

information processing, with one human and one artificial agent involved at the same time. This brings up various essential questions referring to a variety of topics in cognitive science, including knowledge, (semantic) representations, learning, and goal-oriented behavior: Is there an advantage of providing a robot with human-like cognitive abilities, involving human shortcomings, over an AI approach that aims at optimized task solving? If so, to what extent are shared representations of the task environment necessary? Which participant should have what kind of knowledge for a successful division of work? Of particular importance for a trouble-free interaction is that the robot has a solid representation of the goal that its human team mate follows, or a mental model of it, and that it is able to adapt to dynamic situations. From a cognitive perspective, it is therefore essential that the robot is able to identify the intention that the human follows, and changes of intention during task performance. In our symposium we want to address both the potential of a cognitive science perspective for advancing common task solving of humans and robots, as well as the related challenges. The motivation of our symposium is to bring together researchers from different backgrounds. We invite speakers to contribute relevant research approaches from disciplines related to the cognitive sciences.