Social inferences from faces: Ambient images generate a three-dimensional model
Social inferences from faces: Ambient images generate a three-dimensional model
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DOI：
10.1016/j.cognition.2012.12.001
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发表时间：
2013-04-01
期刊：
影响因子：
3.4
通讯作者：
Young, Andrew W.
中科院分区：
文献类型：
--
作者：
Sutherland, Clare A. M.;Oldmeadow, Julian A.;Young, Andrew W.
本文提出了三个实验，通过面孔社交推理的优势模型来研究二维的价格/可信度(Oosterhof&Todorov，2008)。实验1使用图像平均和变形技术来证明，即使在1000张高度可变的环境图像(旨在代表日常生活中遇到的图像，见Jenkins，White，Van Montfort，&Burton，2011)的样本中，一致的面部线索也有助于一系列社交推理。然后，实验2在这个广泛的人脸图像样本上测试了Oosterhof和Todorov的二维模型。最初的两个维度被复制了，一个新的“年轻吸引力”因素也出现了。实验3成功地交叉验证了三维模型，该模型使用由因素分数直接构建的面孔平均数。这些发现突显了原始可信度和支配性维度的实用性，但也强调了利用不同面孔刺激的必要性：随着一组更现实的多样化面孔图像的出现，来自面孔的社交推论显示出比迄今所暗示的更精细的潜在结构。(C)2012爱思唯尔B.V.保留所有权利。
Three experiments are presented that investigate the two-dimensional valence/trustworthiness by dominance model of social inferences from faces (Oosterhof & Todorov, 2008). Experiment 1 used image averaging and morphing techniques to demonstrate that consistent facial cues subserve a range of social inferences, even in a highly variable sample of 1000 ambient images (images that are intended to be representative of those encountered in everyday life, see Jenkins, White, Van Montfort, & Burton, 2011). Experiment 2 then tested Oosterhof and Todorov's two-dimensional model on this extensive sample of face images. The original two dimensions were replicated and a novel 'youthful-attractiveness' factor also emerged. Experiment 3 successfully cross-validated the three-dimensional model using face averages directly constructed from the factor scores. These findings highlight the utility of the original trustworthiness and dominance dimensions, but also underscore the need to utilise varied face stimuli: with a more realistically diverse set of face images, social inferences from faces show a more elaborate underlying structure than hitherto suggested. (C) 2012 Elsevier B.V. All rights reserved.