Gender-Specific Computational Models (Computer Generated)

Twenty-five maximally distinct male and Twenty-five maximally distinct female identities were created using FaceGen Modeller program ( Version 3.1. We varied each facial identity using gender-specific impression models of perceived Dominance and Trustworthiness. The description of how these dimensions were created is provided in Oh et al. In Press.

Using each 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 each model. A detailed description of the generation of these stimuli and the validation of these models is available in Oh et al. In Press.

If you use these faces, any resulting written work should acknowledge the software used for face generation, FaceGen 3.1, Oh et al. In Press.

The full citations for this article is:

Oh, D., Dotsch, R., Porter, J. M. & Todorov, A. (In Press). Gender Biases in Impressions from Faces: Empirical Studies and Computational Models. Journal of Experimental Psychology: General.

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This database contains 1,400 JPG files (25 identities X 2 face genders X 2 model genders X 7 manipulation levels) for the face images and a ReadMe text file.