Face-based perceptions form the basis for how people behave towards each other and, hence, are central to understanding human interaction. Studying face perception requires a large and diverse set of stimuli in order to make ecologically valid, generalizable conclusions. To date, there are no publicly available databases with a substantial number of Multiracial or racially ambiguous faces. Our systematic review of the literature on Multiracial person perception documented that published studies have relied on computer-generated faces (84% of stimuli), Black-White faces (74%), and male faces (63%). We sought to address these issues, and to broaden the diversity of available face stimuli, by creating the American Multiracial Faces Database (AMFD). The AMFD is a novel collection of 110 faces with mixed-race heritage and accompanying ratings of those faces by naive observers that are freely available to academic researchers. The faces (smiling and neutral expression poses) were rated on attractiveness, emotional expression, racial ambiguity, masculinity, racial group membership(s), gender group membership(s), warmth, competence, dominance, and trustworthiness. The large majority of the AMFD faces are racially ambiguous and can pass into at least two different racial categories. These faces will be useful to researchers seeking to study Multiracial person perception as well as those looking for racially ambiguous faces in order to study categorization processes in general. Consequently, the AMFD will be useful to a broad group of researchers who are studying face perception.
Visual scanning and recognition of Chinese, Caucasian, and racially ambiguous faces: Contributions from bottom-up facial physiognomic information and top-down knowledge of racial categories
