A multidimensional scaling analysis of own- and cross-race face spaces.

A multidimensional scaling analysis of own- and cross-race face spaces.
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DOI:
10.1016/j.cognition.2010.05.001
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发表时间:
2010-08
期刊:
影响因子:
3.4
通讯作者:
Goldinger SD
Goldinger SD
中科院分区:
心理学2区
文献类型:
--
作者:
Papesh MH;Goldinger SD

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我们研究了来自多维空间(MDS)框架的预测自己和其他种族的脸处理。一组20个计算机化的脸是从一个单一的原型。每张脸都保存为黑色和白色,仅改变肤色,这样结构相同的脸在两个种族类别中都有代表。参与者对所有可能的面孔组合进行快速的“同-异”判断,由此产生心理空间,并以“不同”的RT作为相似性的度量。与MDS框架一致,所有的面孔都是围绕(看不见的)原型伪正态分布的。面孔的分布与预测是一致的:尽管他们的物理身份的白色面孔,黑人面孔有较低的平均物体间的距离在心理空间。种族不同的面孔在心理空间中聚集得更密集,这可能是众所周知的识别缺陷的基础。
We examined predictions derived from Multidimensional Space (MDS) framework for own- and other-race face processing. A set of 20 computerized faces was generated from a single prototype. Each face was saved as Black and White, changing only skin tone, such that structurally identical faces were represented in both race categories. Participants made speeded “same-different” judgments to all possible combinations of faces, from which we generated psychological spaces, with “different” RTs as the measure of similarity. Consistent with the MDS framework, all faces were pseudo-normally distributed around the (unseen) prototype. The distribution of faces was consistent with predictions: Despite their physical identity to the White faces, Black faces had lower mean inter-object distances in psychological space. Other-race faces are more densely clustered in psychological space, which could underlie well-known recognition deficits.
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