Classifying faces by race: The structure of face categories
Classifying faces by race: The structure of face categories
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DOI：
10.1037/0278-7393.22.6.1364
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发表时间：
1996-11-01
影响因子：
2.6
通讯作者：
Levin, DT
中科院分区：
文献类型：
--
作者：
Levin, DT
本文探讨了跨种族（CR）的脸更快地分类种族比相同的种族（SR）的脸。T. Valentine和M. Endo（1992）通过假设人脸类别可以在多维样本空间中的节点激活的基础上解释来模拟这种效应。因此，样本密度之间的变化和内面类别解释了促进分类的CR脸和典型性和分类RT之间的关系面类别。目前的研究结果从分类和视觉搜索任务表明，CR脸的快速分类，而不是由一个快速编码的种族特征，标志着CR，但不是SR脸。此外，面部典型性的系统操作不会导致分类能力的变化，除了非常独特的面部分类缓慢之外。这些结果表明，样本模型不能解释人脸分类的重要方面。
This article explored the finding that cross-race (CR) faces are more quickly classified by race than same race (SR) faces. T. Valentine and M. Endo (1992) modeled this effect by assuming that face categories can be explained on the basis of node activations in a multidimensional exemplar space. Therefore, variations in exemplar density between and within face categories explain both facilitated classification of CR faces and the relationship between typicality and classification RT within face categories. The present findings from classification and visual search tasks suggest that speeded classification of CR faces is instead caused by a quickly coded race feature that marks CR but not SR faces. Also, systematic manipulations of facial typicality cause no variation in classifiability aside from slowed classification of very distinctive faces. These results suggest that the exemplar model cannot explain important aspects of face classification.