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.
Long-standing research traditions in psychology have established the fundamental impact of social categories, such as race and gender, on people's perceptions of themselves and others, as well as on general human cognition and behavior. However, there is a general tendency to ignore research staff demographics (e.g., researchers' race and gender) in research development and research reports. Variation in research staff demographics can exert systematic and scientifically informative influences on results from psychological research. Consequently, research staff demographics need to be considered, studied, and/or reported, along with how these demographics were allowed to vary across participants or conditions (e.g., random assignment, matched with participant demographics, or included as a factor in the experimental design). In addition to providing an overview of multidisciplinary evidence of research staff demographics effects, it is discussed how research staff demographics might influence research findings through (a) ingroup versus outgroup effects, (b) stereotype and (implicit) bias effects, and (c) priming and social tuning effects. Finally, an overview of recommended considerations is included (see Appendix) to help illustrate how to systematically incorporate relevant research staff demographics in psychological science. (PsycINFO Database Record
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