Measuring the causal dynamics of facial interaction

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    Abstract

    The nature of the dynamics of nonverbal interactions is of considerable interest to the study of human communication and future human-computer interaction. Facial expressions constitute an important source of nonverbal social signals. Whereas most studies have focused on the facial expressions of isolated
    individuals, the aim of this study is to explore the coupling dynamics of facial expressions in social dyadic interactions. Using a special experimental set-up, the frontal facial dynamics of pairs of socially interacting persons were measured and
    analyzed simultaneously. We employ convergent cross mapping, a method originating from dynamical systems theory, to asses the causal coupling of the facial-expression attractor dynamics. The results reveal the presence of bidirectional causal couplings of the facial attractor dynamics concomitant with the
    emotional content of the interaction. We conclude that convergent cross mapping yields encouraging results in establishing evidence for causal behavioral interactions.
    Original languageEnglish
    Title of host publicationProceedings of the Cognitive Science Conference
    Publication statusPublished - 10 Aug 2016

    Keywords

    • mimicry, convergent cross mapping, facial expressions

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  • Cite this

    Postma, E., & Nilsenova, M. (2016). Measuring the causal dynamics of facial interaction. In Proceedings of the Cognitive Science Conference