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作为视觉特征的种族:运用视觉搜索和感知辨别任务来理解面部类别及跨种族识别缺陷。

Race as a visual feature: using visual search and perceptual discrimination tasks to understand face categories and the cross-race recognition deficit.

作者信息

Levin D T

机构信息

Department of Psychology, Kent State University, Kent, Ohio 44242-0001, USA.

出版信息

J Exp Psychol Gen. 2000 Dec;129(4):559-74. doi: 10.1037//0096-3445.129.4.559.

DOI:10.1037//0096-3445.129.4.559
PMID:11142869
Abstract

One of the most familiar empirical phenomena associated with face recognition is the cross-race (CR) recognition deficit whereby people have difficulty recognizing members of a race different from their own. Most researchers assume that the CR deficit is caused by failure to generalize perceptual encoding expertise from same-race (SR) faces to CR faces. However, this explanation ignores critical differences in the social cognitions and feature coding priorities associated with SR and CR faces. On the basis of data from visual search and perceptual discrimination tasks, it appears that the deficit occurs because people emphasize visual information specifying race at the expense of individuating information when recognizing CR faces. In particular, it is possible to observe a paradoxical improvement in both detection and perceptual discrimination accuracy for CR faces that is limited to those who recognize them poorly. These findings support a new explanation for the CR recognition deficit based on feature coding differences between CR and SR faces, and appear incompatible with similarity-based models of face categories.

摘要

与面部识别相关的最常见的实证现象之一是跨种族(CR)识别缺陷,即人们在识别与自己种族不同的种族成员时存在困难。大多数研究人员认为,CR缺陷是由于无法将感知编码专业知识从同种族(SR)面孔推广到CR面孔所致。然而,这种解释忽略了与SR和CR面孔相关的社会认知和特征编码优先级的关键差异。根据视觉搜索和感知辨别任务的数据,似乎出现这种缺陷是因为人们在识别CR面孔时强调了指定种族的视觉信息,而牺牲了个体化信息。特别是,对于那些识别CR面孔能力较差的人,可以观察到CR面孔在检测和感知辨别准确性方面出现了矛盾的提高。这些发现支持了一种基于CR和SR面孔之间特征编码差异的CR识别缺陷新解释,并且似乎与基于相似度的面孔类别模型不兼容。

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Race as a visual feature: using visual search and perceptual discrimination tasks to understand face categories and the cross-race recognition deficit.作为视觉特征的种族:运用视觉搜索和感知辨别任务来理解面部类别及跨种族识别缺陷。
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