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A time-varying measure of dyadic synchrony for three-dimensional motion
Multivariate Behavioral Research (2019)
  • Philip T. Reiss, University of Haifa
  • Hila Z. Gvirts, Ariel University
  • Rotem Bennet, Technion-Israel Institute of Technology
  • Alisa Kanterman, University of Haifa
  • Nardine Fahoum, University of Haifa
  • Simone G. Shamay-Tsoory, University of Haifa
We propose a novel approach to the analysis of synchronized three-dimensional motion in dyads. Motion recorded at high time resolution, as with a gaming device, is preprocessed in each of the three spatial dimensions by spline smoothing. Synchrony is then defined, at each time point, as the cosine between the two individuals’ estimated velocity vectors. The approach is extended to allow a time lag, allowing for the analysis of leader-follower dynamics. Mean square cosine over the time range is proposed as a scalar summary of dyadic synchrony, and this measure is found to be positively associated with cognitive empathy. 
  • empathy,
  • interpersonal synchrony,
  • leader-follower dynamics,
  • spline smoothing,
  • three-dimensional motion,
  • transcranial direct current stimulation
Publication Date
Citation Information
Philip T. Reiss, Hila Z. Gvirts, Rotem Bennet, Alisa Kanterman, et al.. "A time-varying measure of dyadic synchrony for three-dimensional motion" Multivariate Behavioral Research Vol. 54 Iss. 4 (2019) p. 530 - 541
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