Abstract
Black, relative to White, individuals have experienced discrimination for centuries in the United States. Recent work suggests that subtle differences in how novel Black faces are initially perceived relate to prejudicial behavior. One such difference is that non-Black people attend more to the eyes of White versus Black novel faces. The present study sought to better characterize this difference by assessing how distinct individual differences widely shown to relate to prejudicial behavior—internal motivation to respond without prejudice (IMS), external motivation to respond without prejudice (EMS), and implicit race bias—relate to disparities in attending to the eyes of novel Black and White faces. Participants viewed novel Black and White faces one at a time on the right or left side of the display. Replicating a race-based disparity in visual attention to the eyes, non-Black perceivers fixated more on the eyes of White in comparison to Black faces. Individual differences among perceivers corresponded with the extent of this race-based disparity. IMS had a negative relationship with a race-based disparity in attention to the eyes, such that higher levels of IMS among perceivers corresponded with lower disparities in attention. Implicit race bias had a positive relationship with this disparity, such that higher levels of implicit race bias among perceivers corresponded with higher disparities in attention. Together, these findings illustrate that two individual differences known to affect prejudicial behavior are associated with preferential gaze patterns in visual attention toward faces on the basis of race.
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Notes
Initial concerns about the trustworthiness and dominance tasks were 1) that participants would be less attentive in the second task, thereby reducing the quality of their data, and 2) that making one type of evaluation first could influence the second evaluation, which would reduce the validity of the second task among susceptible perceivers. Moreover, the literature on race disparities on attention to the eyes has primarily used novel faces, meaning only data from the first task would capture such initial attention to faces as they could only be novel in their first appearance. To inform our analytic plan, we addressed these concerns one month into data collection.
To address if participants attended more to faces in the first versus the second task, we compared the number of fixations on faces and the total time fixating in the first versus the second task. Suggesting less attention, participants had fewer fixations in the second (M = 773.89, SD = 266.99) versus the first (M = 857.96, SD = 199.45) task, t(27) = 2.52, p = .02. Also suggesting less attention, participants spent less time (ms) fixating on faces in the second (M = 242,395.83, SD = 74,595.48) versus the first (M = 268,039.29, SD = 51,485.34) task, t(27) = 2.56, p = .02.
To address if evaluations of one trait might influence evaluations of the second, we subjected trait ratings to a 2 (Order: trustworthiness first and dominance second, dominance first and trustworthiness second) × 2 (Trait: trustworthiness, dominance) × 2 (Target Race: Black, White) mixed ANOVA. Emerging were main effects of trait, F(1, 26) = 22.77, p < .001, η 2p = .17 and of race, F(1, 26) = 15.23, p = .001, η 2p = .37, and a Trait × Race interaction, F(1, 26) = 17.42, p < .001, η 2p = .40. Qualifying these effects was the critical Order × Trait × Race interaction, F(1, 26) = 4.19, p = .05, η 2p = .14. People rated White faces as more dominant when dominance was rated first (M = 3.83, SD = .65) versus second (M = 3.34, SD = .56), t(26) = 2.04, p = .05. People did not rate Black faces on dominance differently when dominance was rated first (M = 4.44, SD = .62) versus second (M = 4.65 SD = .79), t(26) = .87, p = .40. People rated Black faces as marginally less trustworthy when trustworthiness was rated first (M = 3.36, SD = .65) versus second (M = 3.75, SD = .46), t(26) = 1.85, p = .07. People did not rate White faces on trustworthiness differently when trustworthiness was rated first (M = 3.78, SD = .74) versus second (M = 3.73, SD = .77), t(26) = .17, p = .87. This initial evidence in at least some participants raised the possibility that order influenced the second evaluation of faces, reducing the validity of the trait manipulation. Coupled with evidence of less attention to faces in the second task and with the fact that initial attention to faces could only be captured when faces were novel, we restricted analyses of the full sample of 73 participants to the first task.
Analyses were restricted to the first task due to evidence suggesting poorer data quality in the second task. Exploratory analyses collapsing across both tasks did in part support hypotheses despite poorer data quality (e.g., the AOI × Race interaction on proportion of gaze).
Potential IMS, EMS, and IAT-D effects were of theoretical interest to examine on attention to the eyes of White versus Black faces. Although not of theoretical interest, we also regressed the difference in gaze proportion to the noses of White versus Black faces on IAT-D scores, IMS, and EMS. This model was non-significant, F(3, 69) = .58, p = .63, R = .16 R2 = .02. A model regressing the difference in gaze proportion to the mouths of White versus Black faces on IAT-D scores, IMS, and EMS was also non-significant, F(3, 69) = .67, p = .57, R = .17, R2 = .03.
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Acknowledgements
We thank Stephanie Miljkovic and Isaiah Innis for research assistance. Brittany Cassidy received funding from National Institute on Aging (Grant No. F32AG051304).
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Cassidy, B.S., Harding, S.M., Hsu, K.Y. et al. Individual Differences Correspond with Attention to the Eyes of White Versus Black Faces. J Nonverbal Behav 43, 435–449 (2019). https://doi.org/10.1007/s10919-019-00308-z
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DOI: https://doi.org/10.1007/s10919-019-00308-z