Abstract

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 brain-storming 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-synchrony paradigm. Results showed that the averaged value of MWC was higher in the experimental participant trio than in those of the pseudo trio in the frequency band of 0.5 - 1 Hz. The result supports the possible utility of applying multiple wavelet coherence to evaluate triadic synchrony in a small group interaction.

Highlights

  • Synchrony has attracted the attention of psychology and communication researchers

  • This study focused on a triadic interaction, and body movement data of each member was extracted by employing an automated technique, using Kinect v2 (Microsoft) and Brekel Pro Body v2 software (Brekel)

  • Application of multiple wavelet coherence to the triadic movement data indicated that the genuine trio who were engaged in a brainstorming task was more synchronized in the frequency band of 0.5 - 1 Hz than the pseudo trio consisting of virtual data, which supported the hypothesis and demonstrated that triadic synchrony could be captured by employing multiple wavelet approach

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Summary

Introduction

Synchrony has attracted the attention of psychology and communication researchers. Past work has revealed that individuals got synchronized or unsynchronized in their body posture and/or movement through the interaction. Each instance of time- or frequency-domain coordination seems to correspond approximately to the work of [2] who differentiated interpersonal coordination into two facets: behavior matching and synchrony. The former one is currently known as behavioral mimicry [3] and lots of empirical findings are accumulated; for a review see [4] [5]. Synchrony, as a frequency-domain coordination, has not got sufficient attention in psychology and communication research. Synchrony research, employing the analysis method from physics [6], has revealed that temporal coordination occurs between individuals [7]. In order to evaluate synchrony in the frequency domain (i.e., the similarity of rhythm and timing), spectrum analysis including Fourier and wavelet approach has been employed

Evaluating Synchrony
Current Study
Participants
Procedure
Generating Time-Series Movement Data
Results
Conclusions and Implications
Full Text
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