25 Faces Manipulated on Competence, Controlling for Attractiveness (Subtraction Model)

Twenty-five maximally distinct male identities were created using FaceGen Modeller program (http://facegen.com) Version 3.1. We varied each facial identity along the dimension of that was the difference between competence and attractiveness from the models of these created in Oosterhof & Todorov (2008) and Todorov & Oosterhof 2011on both shape and reflectance.

The description of how this “Difference” model was created can be found in Oh et al. 2019, and a description of validation of the initial competence and attractiveness models is available in Todorov et al. (2013).

Using the model, each identity was manipulated to create seven versions (-3 SD, -2 SD, -1 SD, 0 SD, 1 SD, 2 SD, and 3 SD) on competence (with attractiveness subtracted). A detailed description of the generation of these stimuli and the validation of this model is available in Oh et al. 2019.

If you use these faces, any resulting written work should acknowledge the software used for face generation, FaceGen 3.1, Oh et al. 2019, Todorov et al 2013, and Todorov & Oosterhof 2011.

The full citations for these three articles are:

Oh, D., Buck, E.A. & Todorov, A. (2019). Revealing hidden gender biases in competence impressions of faces. Psychological Science, 30 (1), 65-79.

Todorov, A., Dotsch, R., Porter, J., Oosterhof, N., & Falvello, V. (2013).Validation of Data-Driven Computational Models of Social Perception of Faces.Emotion, 13(4), 724-738.

Todorov, A., & Oosterhoof, N. N. (2011) Modeling social perception of faces.Signal Processing Magazine, IEEE, 28, 117-122.

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This database contains 175 JPG files for the face images and a ReadMe text file.