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. © 2013 Springer-Verlag.
CITATION STYLE
Delaherche, E., Boucenna, S., Karp, K., Michelet, S., Achard, C., & Chetouani, M. (2013). Social coordination assessment: Distinguishing between shape and timing. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7742 LNAI, pp. 9–18). https://doi.org/10.1007/978-3-642-37081-6_2
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