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Triadic Synchrony: Application of Multiple Wavelet Coherence to a Small Group Conversation
By applying multiple wavelet coherence (MWC) to data from human body movements in triadic interaction, this study quantified triadic synchrony, rhythmic similarity among three interactants. Thirty-nine Japanese undergraduates were randomly assigned in a triad, and engaged in a brainstorming task. Triadic synchrony was quantified by calculating MWC to the time-series movement data collected by Kinect v2 sensor. The existence of synchrony was statistically tested by using a pseudo-synchronydoi:10.4236/am.2016.714126 fatcat:f3nts5tbjze7zpk446i7qgelzm