A Consistent but Highly Varied Androcentric Bias in the Visual Representation of “Typical” Faces

Decades of research have shown that androcentric bias (i.e., assuming that men represent the default) is prevalent across text, images, and social interactions. Despite this evidence, recent research on the mental imagery of faces shows an opposite of the expected androcentric bias: Mental representations of “typical” faces appear more like women than men (Kunst et al., 2023). In the present research, we first aim to reconcile this apparent discrepancy by examining the mental imagery associated with typical persons using generative reverse correlation – a data-driven method that leverages artificial intelligence to construct photo-realistic imagery of visual stereotypes for both groups and individuals. Second, we explore potential reasons for the observed reversal in mental imagery by examining individual differences in typicality judgments. Across two studies, our results show 1) individuals tend to equate “typical persons” with “men” in their mental representations at the group-level; but 2) there is large individual-level variability in both “typical person” mental imagery and explicit “typicality” judgments that complicates conclusions drawn from aggregate-level data.