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Exit from Synchrony in Joint Improvised Motion

Author

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  • Assi Dahan
  • Lior Noy
  • Yuval Hart
  • Avi Mayo
  • Uri Alon

Abstract

Motion synchrony correlates with effective and well-rated human interaction. However, people do not remain locked in synchrony; Instead, they repeatedly enter and exit synchrony. In many important interactions, such as therapy, marriage and parent-infant communication, it is the ability to exit and then re-enter synchrony that is thought to build strong relationship. The phenomenon of entry into zero-phase synchrony is well-studied experimentally and in terms of mathematical modeling. In contrast, exit-from-synchrony is under-studied. Here, we focus on human motion coordination, and examine the exit-from-synchrony phenomenon using experimental data from the mirror game paradigm, in which people perform joint improvised motion, and from human tracking of computer-generated stimuli. We present a mathematical mechanism that captures aspects of exit-from-synchrony in human motion. The mechanism adds a random motion component when the accumulated velocity error between the players is small. We introduce this mechanism to several models for human coordinated motion, including the widely studied HKB model, and the predictor-corrector model of Noy, Dekel and Alon. In all models, the new mechanism produces realistic simulated behavior when compared to experimental data from the mirror game and from tracking of computer generated stimuli, including repeated entry and exit from zero-phase synchrony that generates a complexity of motion similar to that of human players. We hope that these results can inform future research on exit-from-synchrony, to better understand the dynamics of coordinated action of people and to enhance human-computer and human-robot interaction.

Suggested Citation

  • Assi Dahan & Lior Noy & Yuval Hart & Avi Mayo & Uri Alon, 2016. "Exit from Synchrony in Joint Improvised Motion," PLOS ONE, Public Library of Science, vol. 11(10), pages 1-19, October.
  • Handle: RePEc:plo:pone00:0160747
    DOI: 10.1371/journal.pone.0160747
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    Cited by:

    1. Yuvalal Liron & Noa Raindel & Uri Alon, 2018. "Dramatic action: A theater-based paradigm for analyzing human interactions," PLOS ONE, Public Library of Science, vol. 13(3), pages 1-18, March.
    2. Guy Gaziv & Lior Noy & Yuvalal Liron & Uri Alon, 2017. "A reduced-dimensionality approach to uncovering dyadic modes of body motion in conversations," PLOS ONE, Public Library of Science, vol. 12(1), pages 1-23, January.

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