The primacy of categories in the recognition of 12 emotions in speech prosody across two cultures
The primacy of categories in the recognition of 12 emotions in speech prosody across two cultures
复制标题
DOI：
10.1038/s41562-019-0533-6
复制
发表时间：
2019-04-01
影响因子：
29.9
通讯作者：
Keltner, Dacher
中科院分区：
文献类型：
--
作者：
Cowen, Alan S.;Laukka, Petri;Keltner, Dacher
情感科学的核心是，在多大程度上，诸如敬畏之类的类别，或诸如效价之类的更广泛的情感特征，是对情感表达识别的基础。为了探索人们从韵律中识别情感的过程，美国和印度的参与者被要求判断来自5种文化的100名演员制作的2519个语音样本所传达的情感类别或情感特征。通过大规模的统计推断方法，我们发现韵律可以传达至少12种不同的情感，这些情感在两种文化中都保留下来。对情感识别的语义结构和声学结构的分析表明，情感类别比情感特征（包括效价）更能驱动情感识别。然而，与离散情绪理论相反，情绪类别是通过代表混合情绪的梯度来连接的。我们的研究结果在交互式地图中可视化，揭示了言语韵律中跨文化识别的情绪状态的复杂高维空间。
Central to emotion science is the degree to which categories, such as Awe, or broader affective features, such as Valence, underlie the recognition of emotional expression. To explore the processes by which people recognize emotion from prosody, US and Indian participants were asked to judge the emotion categories or affective features communicated by 2,519 speech samples produced by 100 actors from 5 cultures. With large-scale statistical inference methods, we find that prosody can communicate at least 12 distinct kinds of emotion that are preserved across the 2 cultures. Analyses of the semantic and acoustic structure of the recognition of emotions reveal that emotion categories drive the recognition of emotions more so than affective features, including Valence. In contrast to discrete emotion theories, however, emotion categories are bridged by gradients representing blends of emotions. Our findings, visualized within an interactive map, reveal a complex, high-dimensional space of emotional states recognized cross-culturally in speech prosody.