Kinematics of perceived dyadic coordination in dance
Hartmann, M., Mavrolampados, A., Allingham, E., Carlson, E., Burger, B., & Toiviainen, P. (2019). Kinematics of perceived dyadic coordination in dance. Scientific Reports, 9, Article 15594. https://doi.org/10.1038/s41598-019-52097-6
Published inScientific Reports
DisciplineMusic, Mind and TechnologyMusiikkitiedeMonitieteinen aivotutkimuskeskusMusic, Mind and TechnologyMusicologyCentre for Interdisciplinary Brain Research
© Te Authors 2019
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. ...
PublisherNature Publishing Group
Publication in research information system
MetadataShow full item record
Related funder(s)Academy of Finland
Funding program(s)Postdoctoral Researcher, AoF; Research post as Academy Professor, AoF
Additional information about fundingThis work was supported by funding from the Academy of Finland (project numbers 272250, 274037, 299067, and 314651). The authors would like to thank Noah Little, Santeri Hämäläinen, and Markku Pöyhönen for assisting us with the data collection, Michael J. Richardson for insightful discussions, and two anonymous referees for their helpful suggestions on this paper.
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