Department of Psychology, City University of New York Graduate Center.
Emotion. 2023 Aug;23(5):1423-1439. doi: 10.1037/emo0001115. Epub 2022 Sep 15.
The accurate identification of emotion is critical to effectively navigating our social lives. However, it is not clear how distinct types of visual information afford the accurate perception of others' emotion states. Here, we sought to examine the influence of different spatial frequency visual information on emotion categorization, and whether distinctive emotional dimensions (valence and arousal) are differentially influenced by specific spatial frequency content. Across one pilot and two experiments ( = 603), we tested whether emotional facial expressions that vary in valence, arousal, and functional significance differ in accuracy of categorization as a function of low, intact, and high spatial frequency band information. Overall, we found a general decrease in the breadth of emotional expressions for filtered images but did not see a decrease in accuracy of categorization for the positive emotion, joy. Together, these results suggest that spatial frequency information influences perception of emotional expressions that differ in valence and arousal. (PsycInfo Database Record (c) 2023 APA, all rights reserved).
准确识别情绪对于有效处理我们的社交生活至关重要。然而,目前尚不清楚不同类型的视觉信息如何为准确感知他人的情绪状态提供支持。在这里,我们试图研究不同空间频率视觉信息对情绪分类的影响,以及不同的情绪维度(愉悦度和唤醒度)是否受到特定空间频率内容的不同影响。在一个预实验和两个实验中(n=603),我们测试了在效价、唤醒度和功能意义上不同的情绪面部表情,其分类准确性是否随低、完整和高空间频率带信息而变化。总的来说,我们发现过滤后的图像中情绪表达的范围普遍缩小,但对积极情绪(如快乐)的分类准确性并没有下降。这些结果表明,空间频率信息影响了不同效价和唤醒度的情绪表达的感知。(PsycInfo 数据库记录(c)2023 APA,保留所有权利)。