Ensembility among musicians according to their swaying movements and its relationship with musical performance

  • Fujiwara Ken
    Faculty of Human Sciences, Osaka University of Economics
  • Itoh Yuichi
    Graduate School of Information Science and Technology, Osaka University
  • Takashima Kazuki
    Research Institute of Electrical Communication, Tohoku University
  • Tsuzuki Takemi
    Graduate School of Information Science and Technology, Osaka University Nomura Research Institute, Ltd.
  • Masuyama Masaki
    Graduate School of Information Science and Technology, Osaka University
  • Onoye Takao
    Graduate School of Information Science and Technology, Osaka University

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Other Title
  • 演奏者の重心移動を用いた演奏連携度の取得と演奏に対する評価
  • エンソウシャ ノ ジュウシン イドウ オ モチイタ エンソウ レンケイド ノ シュトク ト エンソウ ニ タイスル ヒョウカ

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Abstract

<p>The current study examined the interaction dynamics within a small group from the perspective of movement synchrony by estimating ‘ensembility’ among musicians. In an ensemble concert, the swaying movements of three professional musicians during a live performance were recorded using a chair-type body motion sensor, the SenseChair. A short-time frequency analysis with a Hanning window function was performed to extract short-time frequency data from each musician’s movements. Ensembility; i.e., the degree of synchrony among the musicians’ swaying movements, was calculated by multiplying the three musicians’ sway data. The validity of calculating ensembility was confirmed using a surrogate technique. Furthermore, the relationship between ensembility and evaluations of the subjects’ musical performance was examined. The results showed that one of the performances that exhibited high ensembility received a higher evaluation score. While much synchrony research has focused on dyadic interactions, collaborative work with researchers from the field of social psychology and information science allows for precise examinations of the dynamics within small groups.</p>

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