Department of Psychology, University of York, Heslington, York YO10 5DD, UK.
Cognition. 2013 Apr;127(1):105-18. doi: 10.1016/j.cognition.2012.12.001. Epub 2013 Jan 30.
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.
本文提出了三个实验，旨在验证面部社会推断的二维效价/可信度主导模型（Oosterhof & Todorov，2008）。实验 1 使用图像平均和变形技术，证明了一致的面部线索可以支持一系列社会推断，即使在一个由 1000 个环境图像组成的高度变化的样本中（这些图像旨在代表日常生活中遇到的那些图像，见 Jenkins、White、Van Montfort 和 Burton，2011）。实验 2 然后在这个广泛的面部图像样本上测试了 Oosterhof 和 Todorov 的二维模型。复制了原始的两个维度，并出现了一个新的“年轻吸引力”因素。实验 3 使用直接从因子得分构建的面部平均值成功地对三维模型进行了交叉验证。这些发现突出了原始可信度和主导维度的实用性，但也强调了需要使用多样化的面部刺激：使用更真实多样的面部图像集，面部社会推断显示出比以前所建议的更精细的潜在结构。
