Department of Psychology, University of California, Berkeley, 2121 Berkeley Way, Berkeley, CA 94704, USA.
Department of Psychology, University of California, Berkeley, 2121 Berkeley Way, Berkeley, CA 94704, USA.
Trends Cogn Sci. 2021 Feb;25(2):124-136. doi: 10.1016/j.tics.2020.11.004. Epub 2020 Dec 18.
Within affective science, the central line of inquiry, animated by basic emotion theory and constructivist accounts, has been the search for one-to-one mappings between six emotions and their subjective experiences, prototypical expressions, and underlying brain states. We offer an alternative perspective: semantic space theory. This computational approach uses wide-ranging naturalistic stimuli and open-ended statistical techniques to capture systematic variation in emotion-related behaviors. Upwards of 25 distinct varieties of emotional experience have distinct profiles of associated antecedents and expressions. These emotions are high-dimensional, categorical, and often blended. This approach also reveals that specific emotions, more than valence, organize emotional experience, expression, and neural processing. Overall, moving beyond traditional models to study broader semantic spaces of emotion can enrich our understanding of human experience.
在情感科学中，以基本情绪理论和建构主义理论为基础的核心研究方向一直是寻找六种情绪与其主观体验、典型表达和潜在大脑状态之间的一一对应关系。我们提供了另一种视角：语义空间理论。这种计算方法使用广泛的自然刺激和开放式统计技术来捕捉与情绪相关的行为中的系统变化。超过 25 种不同类型的情绪体验具有不同的相关前因和表达模式。这些情绪具有多维性、类别性，并且常常混合在一起。这种方法还表明，特定的情绪比效价更能组织情绪体验、表达和神经处理。总的来说，超越传统模型来研究更广泛的情绪语义空间可以丰富我们对人类体验的理解。
