Department of Psychology.
School of Communication Sciences and Disorders.
Emotion. 2021 Oct;21(7):1570-1575. doi: 10.1037/emo0001024. Epub 2021 Sep 27.
Nonverbal expressions of emotion can vary in intensity, from ambiguous to prototypical exemplars: for instance, facial displays of happiness may range from a faint smile to a full-blown grin. Previous work suggests that the accuracy with which facial expressions are recognized as the intended emotion increases with emotional intensity, although this pattern depends on the displayed emotion. Less is known about the association between emotional intensity and the recognition of vocal emotional expressions (affective prosody), which also convey information about others' socioemotional intent but are perceived and interpreted differently than facial expressions. The current study examined listeners' ability to recognize emotional intent in morphed vocal prosody recordings that varied in emotional intensity from neutral to prototypical exemplars of basic emotions (anger, disgust, fear, happiness, sadness) and social expressions (friendliness, meanness). Results suggest that listeners' accuracy in identifying the intended emotional intent in each recording increased nonlinearly with emotional intensity. This pattern varied by emotion type: for instance, accuracy for anger rose steeply with increasing emotional intensity before plateauing, whereas accuracy for happiness remained unchanged across low-intensity exemplars but increased thereafter. These findings highlight emotion-specific ways in which dynamic changes in emotional intensity inform perceptions of socioemotional intent in emotional prosody. Moreover, these results also point to potential challenges in emotional communication in social interactions that rely primarily on the voice, with many low-intensity expressions having a higher probability of being misinterpreted. (PsycInfo Database Record (c) 2021 APA, all rights reserved).
情感的非言语表达在强度上可能有所不同,从模糊到典型范例:例如,面部表达的快乐可能从淡淡的微笑到大笑。以前的研究表明,面部表情被识别为预期情绪的准确性随着情绪强度的增加而增加,尽管这种模式取决于所显示的情绪。对于与情绪强度相关的情感声音表达(情感韵律)的识别,人们了解较少,情感声音表达也传达了关于他人社会情感意图的信息,但与面部表情不同,它们被感知和解释。当前的研究考察了听众识别从中性到基本情绪(愤怒、厌恶、恐惧、快乐、悲伤)和社会表情(友好、卑鄙)的典型范例的变调声音韵律记录中情感意图的能力。结果表明,听众识别每个记录中预期情感意图的准确性随着情绪强度的增加是非线性增加的。这种模式因情绪类型而异:例如,随着情绪强度的增加,愤怒的准确性急剧上升,然后趋于平稳,而快乐的准确性在低强度范例中保持不变,但此后增加。这些发现突出了情绪强度的动态变化以情绪韵律告知社会情感意图感知的方式具有情绪特异性。此外,这些结果还指出了主要依赖声音的社交互动中情感交流的潜在挑战,许多低强度的表达更有可能被误解。(PsycInfo 数据库记录(c)2021 APA,保留所有权利)。