Abstract

We investigated the relationships between perceptions of similarity and interaction in spontaneously dancing dyads, and movement features extracted using novel computational methods. We hypothesized that dancers’ movements would be perceived as more similar when they exhibited spatially and temporally comparable movement patterns, and as more interactive when they spatially oriented more towards each other. Pairs of dancers were asked to move freely to two musical excerpts while their movements were recorded using optical motion capture. Subsequently, in two separate perceptual experiments we presented stick figure animations of the dyads to observers, who rated degree of interaction and similarity between dancers. Mean perceptual ratings were compared with three different approaches for quantifying coordination: torso orientation, temporal coupling, and spatial coupling. Correlations and partial correlations across dyads were computed between each estimate and the perceptual measures. A systematic exploration showed that torso orientation (dancers facing more towards each other) is a strong predictor of perceived interaction even after controlling for other features, whereas temporal and spatial coupling (dancers moving similarly in space and in time) are better predictors for perceived similarity. Further, our results suggest that similarity is a necessary but not sufficient condition for interaction.

Highlights

  • We investigated the relationships between perceptions of similarity and interaction in spontaneously dancing dyads, and movement features extracted using novel computational methods

  • Our results lend general support to these hypotheses, because they show the contribution of torso orientation upon perceived interaction and the role of temporal and spatial coupling on perceived similarity

  • Our study found that torso orientation has a role on similarity prediction, which has been previously observed in work on unintentional interpersonal coordination[39]

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Summary

Introduction

We investigated the relationships between perceptions of similarity and interaction in spontaneously dancing dyads, and movement features extracted using novel computational methods. Recent research has shown that an individual’s tendency to use empathy (i.e. the ability to interpret and understand others’ thoughts and feelings) relates to their ability to adjust to sudden tempo changes[16], and to their adjustment of body movement in response to different partners in a dyadic dance context[10]. These studies did not measure social perception of movement, and relied on fairly limited analysis of full body movement. Understanding how interaction is perceived in a dance context requires further investigation

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