心理学
愤怒
感知
惊喜
情感知觉
非语言交际
情绪分类
面部表情
情感(语言学)
认知心理学
集合(抽象数据类型)
刺激(心理学)
愉快
心理信息
发展心理学
社会心理学
沟通
神经科学
程序设计语言
法学
计算机科学
梅德林
政治学
作者
Natalie Holz,Pauline Larrouy-Maestri,David Poeppel
出处
期刊:Emotion
[American Psychological Association]
日期:2022-02-01
卷期号:22 (1): 213-225
被引量:5
摘要
The human voice is a potent source of information to signal emotion. Nonspeech vocalizations (e.g., laughter, crying, moans, or screams), in particular, can elicit compelling affective experiences. Consensus exists that the emotional intensity of such expressions matters; however how intensity affects such signals, and their perception remains controversial and poorly understood. One reason is the lack of appropriate data sets. We have developed a comprehensive stimulus set of nonverbal vocalizations, the first corpus to represent emotion intensity from one extreme to the other, in order to resolve the empirically underdetermined basis of emotion intensity. The full set, comprising 1085 stimuli, features eleven speakers expressing 3 positive (achievement/triumph, sexual pleasure, surprise) and 3 negative (anger, fear, physical pain) affective states, each varying from low to peak emotion intensity. The smaller core set of 480 files represents a fully crossed subsample (6 emotions × 4 intensities × 10 speakers × 2 items) selected based on judged authenticity. Perceptual validation and acoustic characterization of the stimuli are provided; the expressed emotional intensity, like expressed emotion, is reflected in listener evaluation and signal properties of nonverbal vocalizations. These carefully curated new materials can help disambiguate foundational questions on the communication of affect and emotion in the psychological and neural sciences and strengthen our theoretical understanding of this domain of emotional experience. (PsycInfo Database Record (c) 2022 APA, all rights reserved).
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