Washington University in St. Louis, MO, USA.
Stockholm University, Sweden.
Pers Soc Psychol Bull. 2022 Jul;48(7):1087-1104. doi: 10.1177/01461672211029786. Epub 2021 Jul 23.
The current study investigated what can be understood from another person's tone of voice. Participants from five English-speaking nations (Australia, India, Kenya, Singapore, and the United States) listened to vocal expressions of nine positive and nine negative affective states recorded by actors from their own nation. In response, they wrote open-ended judgments of what they believed the actor was trying to express. Responses cut across the chronological emotion process and included descriptions of situations, cognitive appraisals, feeling states, physiological arousal, expressive behaviors, emotion regulation, and attempts at social influence. Accuracy in terms of emotion categories was overall modest, whereas accuracy in terms of valence and arousal was more substantial. Coding participants' 57,380 responses yielded a taxonomy of 56 categories, which included affective states as well as person descriptors, communication behaviors, and abnormal states. Open-ended responses thus reveal a wide range of ways in which people spontaneously perceive the intent behind emotional speech prosody.
本研究探讨了人们如何从他人的语调中理解信息。来自五个英语国家(澳大利亚、印度、肯尼亚、新加坡和美国)的参与者听了由来自本国演员录制的九种积极情绪和九种消极情绪的声音表达,并对他们认为演员试图表达的内容进行了开放性判断。参与者的反应跨越了情感的时间进程,包括对情境的描述、认知评估、感受状态、生理唤醒、表达行为、情绪调节以及试图施加社会影响。在情绪类别上的准确性总体上较为适中,而在情绪的效价和唤醒度上则更为显著。对参与者的 57380 个反应进行编码,得出了一个包含 56 个类别的分类法,其中包括情感状态以及人的描述符、沟通行为和异常状态。这些开放性的反应揭示了人们自发感知情感言语韵律背后意图的广泛方式。