Social coordination assessment: distinguishing between shape and timing

Authors:
Emilie Delaherche;Sofiane Boucenna;Koby Karp;Stéphane Michelet;Catherine Achard;Mohamed Chetouani
Affiliations:
Institute of Intelligent Systems and Robotics, University Pierre and Marie Curie, Paris, France;Institute of Intelligent Systems and Robotics, University Pierre and Marie Curie, Paris, France;Institute of Intelligent Systems and Robotics, University Pierre and Marie Curie, Paris, France;Institute of Intelligent Systems and Robotics, University Pierre and Marie Curie, Paris, France;Institute of Intelligent Systems and Robotics, University Pierre and Marie Curie, Paris, France;Institute of Intelligent Systems and Robotics, University Pierre and Marie Curie, Paris, France
Venue:
MPRSS'12 Proceedings of the First international conference on Multimodal Pattern Recognition of Social Signals in Human-Computer-Interaction
Year:
2012

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Abstract

In this paper, we propose a new framework to assess temporal coordination (synchrony) and content coordination (behavior matching) in dyadic interaction. The synchrony module is dedicated to identify the time lag and possible rhythm between partners. The imitation module aims at assessing the distance between two gestures, based on 1-Class SVM models. These measures discriminate significantly conditions where synchrony or behavior matching occurs from conditions where these phenomenons are absent. Moreover, these measures are unsupervised and could be implemented online.