A synchrony based approach for human robot interaction

Syed Khursheed Hasnain (1) , Philippe Gaussier (2) , Ghiles Mostafaoui (1)

1 Neurocybernetic team
2 Neurocybernétique

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.

Mots clés: Human Robot Interaction; Synchrony; Focus of Attention; Partner Selection; Dynamical Systems.; Dynamical Systems

Domaines: Intelligence artificielle [cs.AI]

Syed Khursheed Hasnain, Philippe Gaussier, Ghiles Mostafaoui. A synchrony based approach for human robot interaction. Conference, Nov 2012, Lausanne, Switzerland. ⟨hal-00748989⟩