Mutual Modelling in Robotics: Inspirations for the Next Steps

Mutual modelling, the reciprocal ability to establish a mental model of the other, plays a fundamental role in human interactions. This complex cognitive skill is however difficult to fully apprehend as it encompasses multiple neuronal, psychological and social mechanisms that are generally not easily turned into computational models suitable for robots. This article presents several perspectives on mutual modelling from a range of disciplines, and reflects on how these perspectives can be beneficial to the advancement of social cognition in robotics. We gather here both basic tools (concepts, formalisms, models) and exemplary experimental settings and methods that are of relevance to robotics. This contribution is expected to consolidate the corpus of knowledge readily available to human-robot interaction research, and to foster interest for this fundamentally cross-disciplinary field.

Published in:
Proceedings of the 2015 Human-Robot Interaction Conference
Presented at:
2015 Human-Robot Interaction Conference, Portand, USA, March 3-5, 2015

 Record created 2015-01-30, last modified 2019-01-17

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