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People Automatically Extract Infants’ Sex from Faces

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Abstract

People can reliably distinguish the sex of faces across age groups. Rates of accuracy are lower for infants, however, likely because they lack the pronounced sexually dimorphic features that develop during puberty. Given that previous research has shown that perceivers categorize adult sex automatically, we wondered whether this would extend to the faces of infants for whom sex is less legible. We tested this using a semantic priming paradigm in which infant faces preceded the categorization of stereotypically male and female names. Results showed that participants categorized the sex of male names significantly faster following perceptions of male versus female infant faces (though female faces did not significantly facilitate the processing of female names). The asymmetry in interference for male but not female faces supports evidence for a male default in conceptions of sex among infants previously found for adults. Individuals may therefore process sex automatically in the absence of overt cues (e.g., post-pubertal sexually dimorphic features or stereotypical clothing), providing additional evidence for the depth and flexibility of social categorization.

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Notes

  1. Participants did not report spending much time with children: Mdn = 1 hours/week, SD = 10.35. All results remained consistent when we removed the five outlier participants from the sample.

  2. The photographs of two male and one female infant had to be excluded from analysis due to a programming error that caused the pictures to not load during the experiment. We excluded a picture of another female infant from the database due to low image quality.

  3. Pilot testing of the images indeed revealed that the participants categorized the infants’ faces more accurately than chance, though less accurately than the rates usually found for adult faces (e.g., Cheng et al. 2001), M A′  = .70, SD = .10, t(22) = 10.35, p < .001, r = .90.

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Acknowledgments

The authors would like to express thanks to Rebecca Zhu, Daniel Glizer, and Elizabeth Page-Gould for their suggestions during the initial stages of this project. This work was supported in part by a grant from the Social Sciences and Humanities Research Council of Canada to NOR.

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Correspondence to Konstantin O. Tskhay.

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Tskhay, K.O., Rule, N.O. People Automatically Extract Infants’ Sex from Faces. J Nonverbal Behav 40, 247–254 (2016). https://doi.org/10.1007/s10919-016-0235-y

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