School of Psychology, The University of Queensland, St Lucia, Brisbane, QLD, Australia.
Department of Neurology, Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Gertrude H. Sergievsky Center, Columbia University Medical Center, New York, NY, United States of America.
PLoS One. 2020 Jul 1;15(7):e0235390. doi: 10.1371/journal.pone.0235390. eCollection 2020.
Whether language information influences recognition of emotion from facial expressions remains the subject of debate. The current studies investigate how variations in emotion labels that are paired with expressions influences participants' judgments of the emotion displayed. Static (Study 1) and dynamic (Study 2) facial expressions depicting eight emotion categories were paired with emotion labels that systematically varied in arousal (low and high). Participants rated the arousal, valence, and dominance of expressions paired with labels. Isolated faces and isolated labels were also rated. As predicted, the label presented influenced participants' judgments of the expressions. Across both studies, higher arousal labels were associated with: 1) higher ratings of arousal for sad, angry, and scared expressions, and 2) higher ratings of dominance for angry, proud, and disgust expressions. These results indicate that emotion labels influence judgments of facial expressions.
语言信息是否会影响从面部表情中识别情绪，这仍然是一个争论的话题。本研究探讨了与表情相匹配的情绪标签的变化如何影响参与者对所显示情绪的判断。静态（研究 1）和动态（研究 2）面部表情描绘了八个情绪类别，与情绪标签相匹配，这些标签在唤醒度（低和高）上有系统的变化。参与者对与标签相匹配的表情的唤醒度、愉悦度和支配度进行了评分。正如预测的那样，呈现的标签影响了参与者对表情的判断。在两项研究中，较高的唤醒标签与以下方面相关：1）悲伤、愤怒和恐惧表情的唤醒度评分较高，以及 2）愤怒、自豪和厌恶表情的支配度评分较高。这些结果表明，情绪标签会影响对面部表情的判断。
