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日常生活中的自发性声音表达向听众传达了离散的情绪。

Spontaneous vocal expressions from everyday life convey discrete emotions to listeners.

机构信息

Department of Psychology.

出版信息

Emotion. 2021 Sep;21(6):1281-1301. doi: 10.1037/emo0000762. Epub 2020 Sep 17.

DOI:10.1037/emo0000762
PMID:32940485
Abstract

Emotional expression is crucial for social interaction. Yet researchers disagree about whether nonverbal expressions truly reflect felt emotions and whether they convey discrete emotions to perceivers in everyday life. In the present study, 384 clips of vocal expression recorded in a field setting were rated by the speakers themselves and by naïve listeners with regard to their emotional contents. Results suggested that most expressions in everyday life are reflective of felt emotions in speakers. Seventy-three percent of the voice clips involved moderate to high emotion intensity. Speaker-listener agreement concerning expressed emotions was 5 times higher than would be expected from chance alone, and agreement was significantly higher for voice clips with high emotion intensity than for clips with low intensity. Acoustic analysis of the clips revealed emotion-specific patterns of voice cues. "Mixed emotions" occurred in 41% of the clips. Such expressions were typically interpreted by listeners as conveying one or the other of the two felt emotions. Mixed emotions were rarely recognized as such. The results are discussed regarding their implications for the domain of emotional expression in general, and vocal expression in particular. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

摘要

情感表达对于社会互动至关重要。然而,研究人员对于非言语表达是否真的反映了真实的情感,以及它们是否在日常生活中向感知者传达离散的情感存在分歧。在本研究中,384 段在现场环境中录制的声音表达片段由演讲者本身和天真的听众进行了情绪内容的评估。结果表明,日常生活中的大多数表情都反映了演讲者的真实感受。73%的声音片段涉及到中度到高度的情绪强度。演讲者和听众对表达情感的一致性是随机的 5 倍,对于高强度情感的声音片段,其一致性显著高于低强度的声音片段。对片段的声学分析显示出声音线索的情绪特异性模式。“混合情绪”出现在 41%的片段中。听众通常将这种表达理解为传达其中一种或两种真实情感。混合情绪很少被识别为混合情绪。研究结果讨论了它们对情感表达领域的普遍意义,特别是对声音表达的意义。

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