Swiss Center for Affective Sciences, University of Geneva.
Emotion. 2015 Dec;15(6):798-811. doi: 10.1037/a0039416. Epub 2015 Jun 22.
We investigated the role of facial behavior in emotional communication, using both categorical and dimensional approaches. We used a corpus of enacted emotional expressions (GEMEP) in which professional actors are instructed, with the help of scenarios, to communicate a variety of emotional experiences. The results of Study 1 replicated earlier findings showing that only a minority of facial action units are associated with specific emotional categories. Likewise, facial behavior did not show a specific association with particular emotional dimensions. Study 2 showed that facial behavior plays a significant role both in the detection of emotions and in the judgment of their dimensional aspects, such as valence, arousal, dominance, and unpredictability. In addition, a mediation model revealed that the association between facial behavior and recognition of the signaler's emotional intentions is mediated by perceived emotional dimensions. We conclude that, from a production perspective, facial action units convey neither specific emotions nor specific emotional dimensions, but are associated with several emotions and several dimensions. From the perceiver's perspective, facial behavior facilitated both dimensional and categorical judgments, and the former mediated the effect of facial behavior on recognition accuracy. The classification of emotional expressions into discrete categories may, therefore, rely on the perception of more general dimensions such as valence and arousal and, presumably, the underlying appraisals that are inferred from facial movements.
我们采用分类和维度方法研究了面部表情在情感交流中的作用。我们使用了情感表达的行为语料库(GEMEP),其中专业演员在场景的帮助下被指导传达各种情感体验。研究 1 的结果复制了早期的发现,即只有少数面部动作单元与特定的情感类别相关。同样,面部行为也没有与特定的情感维度表现出特定的关联。研究 2 表明,面部行为在情绪的检测和对其维度方面的判断中都发挥了重要作用,例如情绪的愉悦度、唤醒度、支配度和不可预测性。此外,中介模型表明,面部行为与信号者情绪意图的识别之间的关联,是由感知到的情绪维度来介导的。我们的结论是,从产生的角度来看,面部动作单元既不传达特定的情绪,也不传达特定的情绪维度,而是与多种情绪和多种维度相关联。从感知者的角度来看,面部行为促进了维度和类别判断,而前者则介导了面部行为对识别准确性的影响。因此,将情绪表达分类为离散类别可能依赖于对更一般维度的感知,例如愉悦度和唤醒度,以及可能从面部运动推断出的潜在评价。