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What Expression Could Be Found More Quickly? It Depends on Facial Identities

机译:可以更快地找到什么表达方式?这取决于面部特征

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摘要

Visual search task was used to explore the role of facial identity in the processing of facial expression. Participants were asked to search for a happy or sad face in a crowd of emotional face pictures. Expression search was more quickly and accurate when all the faces in a display belonged to one identity than two identities. This suggested the interference of identity variance on expression recognition. At the same time the search speed for a certain expression also depended on the number of facial identities. When faces in a display belonged to one identity, a sad face among happy faces could be found more quickly than a happy face among sad faces; otherwise, when faces in a display belonged to two identities, a happy face could be found more quickly than a sad face.
机译:使用视觉搜索任务来探索面部识别在面部表情处理中的作用。要求参与者在大量的情绪面部图片中寻找一张高兴或悲伤的面孔。当显示器中的所有面部都属于一个身份而不是两个身份时,表情搜索会更加快速和准确。这表明身份差异对表达识别的干扰。同时,对特定表情的搜索速度还取决于面部识别的数量。当显示器中的面孔属于一个身份时,发现快乐面孔中的悲伤面孔要比悲伤面孔中的快乐面孔更快。否则,当显示器中的面孔属于两个身份时,可以比悲伤的面孔更快地找到快乐的面孔。

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