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As psychologists considered synchrony as an important parameter for social interaction, we hypothesize that in the case of social interaction, people focus their attention on regions of interest where the visual stimuli are synchronized with their inner dynamics. Then, we assume that a mechanism able to detect synchrony between internal dynamics of a robot and external visual stimuli can be used as a starting point for human robot interaction. Inspired by human psychological and neurobiological data, we propose a synchrony based neural network architecture capable of selecting the robot interaction partner and of locating Focus of Attention.

DOI: 10.2390/biecoll-robotdoc2012-06

Syed Khursheed Hasnain, Philippe Gaussier, Ghiles Mostafaoui, A synchrony based approach for human robot interaction. Proceedings of the Post-Graduate Conference on Robotics and Development of Cognition, J. Szufnarowska, Ed., September 2012


URL: http://biecoll.ub.uni-bielefeld.de/volltexte/2012/5233

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