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Abstract
Most autism spectrum disorder (ASD) assessments and treatments evaluate or target “typical” social conventions such as eye contact, joint attention, and social referencing (Lord et al., 2012; Volkmar et al., 2014). Research documenting cultural differences in overt or observable social behaviors, such as eye contact and body language (e.g., Fugita et al., 1974; Archer, 2007), highlights the need to adapt assessment and intervention to align with distinct cultural norms. Recommendations for how to adapt best practices to consider cultural variability should be informed by research documenting cultural differences in both overt and more covert social behaviors (e.g., face processing and emotion recognition). Preliminary research shows cultural differences in face processing and emotion recognition when comparing across countries (e.g., Matsumoto, 1989; Ekman & Friesen et al., 1987; Elfenbein & Ambady, 2002); however, a more nuanced examination of sociocultural differences within individuals from different racial-ethnic groups living in the same country can result in more culturally sensitive ASD diagnostic procedures and interventions. We examined cultural differences in emotion recognition and face processing, due to the role both may play in ASD assessment and treatment planning. Through two studies we examined cultural differences in the accuracy and speed of emotion recognition, face processing styles, and prioritization of facial features with gender, race, worldview, and acculturation as variables. Each participant completed questionnaires to obtain demographic information (race, ethnicity, etc.), individualism versus collectivism identification, and acculturation level. Participants then completed two 20-minute tasks. For emotion recognition, participants viewed racially diverse stimuli morphed in 10% gradients and identified the emotion by pressing a corresponding key on a computer keyboard. Response time for emotion identification was collected. For the face processing task, individuals viewed a series of facial stimuli depicting a range of emotions for five seconds each. Amount of participant eye gaze to facial features was quantified using an eye tracker. Results revealed that White individuals more accurate at identifying stimuli of the same race than Black and Asian individuals; and that White individuals viewed the eyes more than Black participants and the mouth more the Asian participants. Implications for practice and future research are discussed.