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Exploring the causal relationships between musical features and physiological indicators of emotion

机译：探索音乐特征与情感生理指标的因果关系

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The relationship between music and physiological indicators of emotion has attracted increased attention in the past two decades. However, the limitations of small sample sizes and the difficulty in designing ecological studies involving physiology and emotion make it hard to gain convincing and practical insight into the mechanisms behind them. In this paper, we propose a novel combination of spectral clustering and cross-correlation analysis that can group people who have similar response patterns to music, and show a causal relationship between changes in music and a human's electrodermal activity (EDA). We present some interesting findings on population differences in sensitivity to musical features and in emotional reactions by analyzing 344 valid listening samples of three classical pieces.
机译：在过去的二十年中，情感音乐和生理指标之间的关系引起了更多的关注。然而，小型样本大小的局限性以及设计涉及生理和情感的生态研究的难度使得难以获得令人信服和实践洞察他们背后的机制。在本文中，我们提出了一种谱聚类和互相关分析的新组合，可以分组对音乐具有类似反应模式的人，并显示出音乐变化与人类电台活动之间的因果关系（EDA）。我们通过分析344个有效的三种古典碎片的有效听力样本，对音乐特征的敏感性和情绪反应的敏感性差异提出了一些有趣的结果。

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