Musical Emotions: Predicting Second-by-Second Subjective Feelings of Emotion From Low-Level Psychoacoustic Features and Physiological Measurements
Musical Emotions: Predicting Second-by-Second Subjective Feelings of Emotion From Low-Level Psychoacoustic Features and Physiological Measurements
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DOI：
10.1037/a0024700
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发表时间：
2011-08-01
期刊：
影响因子：
4.2
通讯作者：
Cangelosi, Angelo
中科院分区：
文献类型：
--
作者：
Coutinho, Eduardo;Cangelosi, Angelo
我们认为，音乐引起的情感结构在很大程度上取决于低水平音乐结构参数的动态时间模式。为了支持这一说法，我们之前提供的证据表明，心理声学特征的时空动态与主观感受的情感潜在判断的两个心理维度：唤醒和效价产生共鸣。在本文中，我们从两个方面扩展了之前的研究。首先，我们关注的是听音乐时体验到的情感，而不是感知到的情感。其次，我们评估了音乐的外围反馈在多大程度上可以解释预测的情绪反应，也就是说，生理唤醒在决定音乐情绪的强度和效价方面的作用。与我们之前的研究结果类似，我们将表明，听众报告的情绪中有很大一部分可以从一组六个心理声学特征中预测：响度、音高水平、音高轮廓、节奏、织体和锐度。此外，这些预测的准确性提高了包括生理线索皮肤电导和心率。本文提出的跨学科工作为音乐和情感研究领域提供了一种基于计算和实验相结合的新方法，有助于分析对音乐的情感反应，同时为这些复杂关系的抽象表示提供了一个平台。未来的发展可能有助于特定领域，如心理学和音乐治疗，通过提供特定音乐刺激的情感效果的连贯描述。
We sustain that the structure of affect elicited by music is largely dependent on dynamic temporal patterns in low-level music structural parameters. In support of this claim, we have previously provided evidence that spatiotemporal dynamics in psychoacoustic features resonate with two psychological dimensions of affect underlying judgments of subjective feelings: arousal and valence. In this article we extend our previous investigations in two aspects. First, we focus on the emotions experienced rather than perceived while listening to music. Second, we evaluate the extent to which peripheral feedback in music can account for the predicted emotional responses, that is, the role of physiological arousal in determining the intensity and valence of musical emotions. Akin to our previous findings, we will show that a significant part of the listeners' reported emotions can be predicted from a set of six psychoacoustic features loudness, pitch level, pitch contour, tempo, texture, and sharpness. Furthermore, the accuracy of those predictions is improved with the inclusion of physiological cues skin conductance and heart rate. The interdisciplinary work presented here provides a new methodology to the field of music and emotion research based on the combination of computational and experimental work, which aid the analysis of the emotional responses to music, while offering a platform for the abstract representation of those complex relationships. Future developments may aid specific areas, such as, psychology and music therapy, by providing coherent descriptions of the emotional effects of specific music stimuli.