Previous research on faces has shown a relation between facial attractiveness and the mathematical averageness of a face (e.g., Langlois & Roggman, 1990). Rhodes, Harwood, Yoshikawa, Nishitani, and McLean (2002) also showed that people from different social groups (e.g., Caucasian and Asian) show high intergroup correlations in attractiveness ratings of the same mathematically average faces, regardless of the group memberships of the raters or of the faces being rated. Yet, relatively little is known about how people's mental representations of faces relate to the faces' attractiveness. In particular, no research to date has examined how faces that vary in attractiveness are represented relative to mathematical averages (i.e., to prototypes) for various ethnic groups, a gap that the present research was designed to address.One popular framework used to understand how faces are perceived, encoded, and retrieved is the face space (Lewis, 2004;Valentine, 1991). This space is akin to a mental "map" in which each dimension is normally distributed and holds information necessary to remembering and recognizing a face. Busey (1998) showed that the face space can be modeled adequately using multidimensional scaling (MDS) analysis. He used faces of bald men and their morphs in a similarity judgment task involving all possible combinations of faces. The morphs appeared more typical than their parent faces and were found closer to the center, in line with predictions made by the face space model. The morphs were also found to be less typical than predicted, consistent with recent research on attractor field models that has shown