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范畴化-独特性模型:异族识别缺陷的综合解释。

The categorization-individuation model: an integrative account of the other-race recognition deficit.

机构信息

Psychology Department, Miami University, Oxford, OH 45056, USA.

出版信息

Psychol Rev. 2010 Oct;117(4):1168-87. doi: 10.1037/a0020463.

Abstract

The other-race effect (ORE), or the finding that same-race faces are better recognized than other-race faces, is one of the best replicated phenomena in face recognition. The current article reviews existing evidence and theory and proposes a new theoretical framework for the ORE, which argues that the effect results from a confluence of social categorization, motivated individuation, and perceptual experience. This categorization-individuation model offers not only a parsimonious account of both classic and recent evidence for category-based biases in face recognition but also links the ORE to broader evidence and theory in social cognition and face perception. Finally, the categorization-individuation model makes a series of novel predictions for how the ORE can be exacerbated, attenuated, or even eliminated via perceptual and motivational processes, both by improving other-race recognition and by reducing same-race recognition. The authors propose that this new model for the ORE also leads to applied interventions that differ sharply from other theories of the ORE, while simultaneously providing an integrative theoretical framework for future research on the ORE.

摘要

异族效应(ORE),即同种族的面孔比异族种族的面孔更容易被识别,是人脸识别中被复制得最好的现象之一。本文回顾了现有的证据和理论,并提出了一个新的 ORE 理论框架,该框架认为这种效应是由社会分类、动机个体化和感知经验的融合造成的。这种分类-个体化模型不仅为经典和最近的面部识别中基于类别偏见的证据提供了一个简洁的解释,还将 ORE 与社会认知和面部感知领域的更广泛的证据和理论联系起来。最后,该分类-个体化模型对如何通过感知和动机过程来加剧、减弱甚至消除 ORE 做出了一系列新的预测,这些过程可以提高异族识别,也可以降低同种族识别。作者提出,这种新的 ORE 模型还可以为 ORE 的应用干预提供一个与其他 ORE 理论截然不同的方法,同时为未来 ORE 的研究提供一个综合的理论框架。

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