Sex ratios in vocal ensembles affect perceptions of threat and belonging.

People often interact with groups (i.e., ensembles) during social interactions. Given that group-level information is important in navigating social environments, we expect perceptual sensitivity to aspects of groups that are relevant for personal threat as well as social belonging. Most ensemble perception research has focused on visual ensembles, with little research looking at auditory or vocal ensembles. Across four studies, we present evidence that (i) perceivers accurately extract the sex composition of a group from voices alone, (ii) judgments of threat increase concomitantly with the number of men, and (iii) listeners' sense of belonging depends on the number of same-sex others in the group. This work advances our understanding of social cognition, interpersonal communication, and ensemble coding to include auditory information, and reveals people's ability to extract relevant social information from brief exposures to vocalizing groups.

Social evaluative implications of sensory adaptation to human voices.

People form social evaluations of others following brief exposure to their voices, and these impressions are calibrated based on recent perceptual experience. Participants adapted to voices with fundamental frequency (f o; the acoustic correlate of perceptual pitch) manipulated to be gender-typical (i.e. masculine men and feminine women) or gender-atypical (i.e. feminine men and masculine women) before evaluating unaltered test voices within the same sex. Adaptation resulted in contrastive aftereffects. Listening to gender-atypical voices caused female voices to sound more feminine and attractive (Study 1) and male voices to sound more masculine and attractive (Study 2). Studies 3a and 3b tested whether adaptation occurred on a conceptual or perceptual level, respectively. In Study 3a, perceivers adapted to gender-typical or gender-atypical voices for both men and women (i.e. adaptors pitch manipulated in opposite directions for men and women) before evaluating unaltered test voices. Findings showed weak evidence that evaluations differed between conditions. In Study 3b, perceivers adapted to masculinized or feminized voices for both men and women (i.e. adaptors pitch manipulated in the same direction for men and women) before evaluating unaltered test voices. In the feminized condition, participants rated male targets as more masculine and attractive. Conversely, in the masculinized condition, participants rated female targets as more feminine and attractive. Voices appear to be evaluated according to gender norms that are updated based on perceptual experience as well as conceptual knowledge.

You can't dismantle what you don't recognize: The effect of learning critical Black history in healthcare on perspective-taking.

Black (compared to White) Americans endure worse healthcare and health outcomes, and discrimination perpetuates these disparities. However, many White Americans deny that racial injustice exists. Two studies (N = 1,853 White Americans) tested whether learning Critical Black History (history of injustice) in healthcare increased perspective-taking and its subsequent impact on racism recognition. When participants learned Critical Black History, perspective-taking was positively associated with isolated and systemic racism recognition (Study 1). In Study 2, participants were randomly assigned to learn Critical Black History, Celebratory Black History (history of achievement), or a Control lesson. Participants who learned Critical Black History (vs. Celebratory or Control) engaged in higher levels of perspective-taking which, in turn, increased racism recognition/acknowledgment, support for anti-racist healthcare policies, and recognition of systemic contributors to Black-White health disparities; no change in negative stereotype endorsement was observed. These findings suggest learning about racial injustice, coupled with perspective-taking, engenders support for racial equity in healthcare. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Current health care experiences, medical trust, and COVID-19 vaccination intention and uptake in Black and White Americans.

OBJECTIVE: The COVID-19 pandemic spotlighted Black Americans' inequitable health care experiences. Across two studies, we tested the associations between health care experiences, historical knowledge of medical mistreatment, medical trust, and COVID-19 vaccination intention and uptake in Black and White Americans. We hypothesized that Black Americans' worse current health care experiences (rather than historical knowledge) and lower medical trust would be associated with lower COVID-19 vaccination intention (Study 1) and that feeling less cared for by their personal physician would be associated with Black Americans' lower medical trust (Study 2). METHOD: In convenience (Study 1, December 2020) and nationally representative samples (Study 2, March-April 2021), participants completed online surveys. RESULTS: In Study 1 (N = 297), Black (relative to White) Americans reported lower vaccination intention (Cohen's d = -.55, p < .001) and lower medical trust (Cohen's d = -.72, p < .001). Additionally, less positive health care experiences among Black participants (Cohen's d = -.33, p = .022) were associated with less medical trust and in turn lower vaccination intention. Tuskegee Study knowledge was not associated with vaccination intention or medical trust. Study 2 (N = 12,757) data revealed no statistically significant racial differences in COVID-19 vaccination receipt or intention. Black (relative to White) Americans reported feeling less cared for by their personal physician (Cohen's d = -.44, p < .001), which was associated with lower medical trust (Cohen's d = -.51, p < .001). CONCLUSION: Findings highlight factors that may contribute to Black Americans' vaccination hesitancy and medical trust. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Accuracy in social judgment does not exclude the potential for bias.

Cesario claims that all bias research tells us is that people "end up using the information they have come to learn as being probabilistically accurate in their daily lives" (sect. 5, para. 4). We expose Cesario's flawed assumptions about the relationship between accuracy and bias. Through statistical simulations and empirical work, we show that even probabilistically accurate responses are regularly accompanied by bias.

You Play a Sport, Right? A Persistent and Pernicious Intersectional Bias in Categorization of Students vs. Student-Athletes.

Black male students on college campuses report being frequently misperceived as student-athletes. Across three studies, we tested the role of perceivers' racial and gendered biases in categorization of Black and White students and student-athletes and the subsequent evaluative consequences. Participants viewed faces of actual Black and White male and female undergraduates who were either non-athlete students or student-athletes and made binary judgments about whether the undergraduate was a student or an athlete. We found an overall bias to judge Black male undergraduates to be student-athletes, driven by Black male students being more likely to be misperceived as student-athletes than White male students. Furthermore, male targets perceived to be student-athletes were rated lower on academic ability (Studies 2 and 3). In contrast, we found an overall bias to judge female undergraduates as students. Implications for how perceiver bias plays a dual role in negatively affecting academic climates for underrepresented groups are discussed.

Ventromedial prefrontal cortex activity differentiates sick from healthy faces: Associations with inflammatory responses and disease avoidance motivation.

BACKGROUND: Humans are able to discern the health status of others using olfactory and visual cues, and subsequently shift behavior to make infection less likely. However, little is known about how this process occurs. The present study examined the neural regions involved in differentiating healthy from sick individuals using visual cues. METHODS: While undergoing a functional magnetic resonance imaging scan, participants (N = 42) viewed facial photos of 30 individuals (targets) who had been injected with an inflammatory challenge--low-dose endotoxin (i.e., sick) or placebo (i.e., healthy), and rated how much they liked each face. We examined regions implicated in processing either threat (amygdala, anterior insula) or cues that signal safety (ventromedial prefrontal cortex [VMPFC]), and how this activity related to their liking of targets and cytokine levels (interleukin-6, tumor necrosis factor-α) exhibited by the targets. RESULTS: Photos of sick faces were rated as less likeable compared to healthy faces, and the least liked faces were those individuals with the greatest inflammatory response. While threat-related regions were not significantly active in response to viewing sick faces, the VMPFC was more active in response to viewing healthy (vs. sick) faces. Follow-up analyses revealed that participants tended to have lower VMPFC activity when viewing the least liked faces and the faces of those with the greatest inflammatory response. CONCLUSIONS: This work builds on prior work implicating the VMPFC in signaling the presence of safe, non-threatening visual stimuli, and suggests the VMPFC may be sensitive to cues signaling relative safety in the context of pathogen threats.

Development of infants' representation of female and male faces.

We examined development of 5- and 10.5-month-old infants' face representations, focusing on infants' discrimination and categorization of female and male faces. We tested for gender-based preferences and categorization of female and male faces by presenting infants with pairs of faces and then habituating them to a series of majority female or male face ensembles. We then tested for gender preferences with new face pairs (one female and one male; Study 1) or new face ensembles (majority female and majority male; Study 2). We found that both 5- and 10.5-month-old infants discriminated female from male faces in face pairs, and both age groups looked more at female faces during habituation. Neither age group, however, provided evidence of gender-based categorization. We interpret these findings within a theoretical framework that stresses environmental exposure to different social categories, and infants' ability to detect commonalities of features within categories. We conclude that infants' gender-based categorization of faces is constrained by the set of features available in the input.

The straight categorization bias: A motivated and altruistic reasoning account.

For 70 years, the field of social perception has concluded that perceivers can determine others' social category memberships with remarkable accuracy. However, it has become increasingly clear that accuracy is only part of the story, as social category judgments are often systematically biased toward one category over another. For example, when categorizing sexual orientation, perceivers label others as straight more often than gay. This straight categorization bias is reliable, has an effect size larger than that for accuracy, and is not exclusively driven by the low base rate of sexual minorities in the population, yet we know little about its proximal causes. Here, we argue that one facet of this bias is a motivated reasoning process that avoids applying stigmatizing labels to unknown others. Specifically, we propose that perceivers ascribe heavy consequences to incorrect gay categorizations, compelling them to gather and integrate available information in a manner that favors straight categorizations. Studies 1 and 2 tested the dynamic nature of the bias, exploring decision ambivalence and the real-time accrual of visible evidence about a target throughout the perceptual process using mouse-tracking and diffusion modeling. Studies 3-5 tested motivational determinants for the bias, revealing that perceivers associate high costs with incorrect gay categorizations because those errors put other people in harm's way. Studies 6-9 tested the cognitive mechanisms perceivers engage as they search for information that allows them to avoid costly decision errors. Collectively, these studies provide a new framework for understanding a well-documented but poorly understood response bias in social categorization. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Evaluative implications of intersecting body weight and other social categories: The role of typicality.

Body weight is a critical dimension by which we evaluate others, with heavier individuals facing higher levels of stigma and discrimination compared to thinner individuals. Yet, the perception of body weight can be ambiguous, suggesting that stereotypic associations and heuristics influence which bodies are deemed as "typical" for a particular group or social category. Here, we investigate whether interdependent associations between body weight and social category dimensions (ethnicity, gender, age, and sex) affect the typicality ratings of a heavier body. Specifically, we hypothesize that heavier bodies labelled as Asian, feminine, younger, or female, compared to Black, White, masculine, older, or male, will be rated less typical and these typicality judgments will mediate social evaluations. Participants made typicality and social evaluative judgments about a wireframe body with a set BMI of 38, accompanied by one of sixteen category labels (e.g., Asian man). Our results show that typicality judgments broadly align with our hypotheses and mediate social evaluations of the heavier body. Overall, we showcase the interdependent nature of weight and other social categories, highlighting the role of typicality for social evaluations of heavier targets.

Motion or emotion: Infants discriminate emotional biological motion based on low-level visual information.

Infants' ability to discriminate emotional facial expressions and tones of voice is well-established, yet little is known about infant discrimination of emotional body movements. Here, we asked if 10-20-month-old infants rely on high-level emotional cues or low-level motion related cues when discriminating between emotional point-light displays (PLDs). In Study 1, infants viewed 18 pairs of angry, happy, sad, or neutral PLDs. Infants looked more at angry vs. neutral, happy vs. neutral, and neutral vs. sad. Motion analyses revealed that infants preferred the PLD with more total body movement in each pairing. Study 2, in which infants viewed inverted versions of the same pairings, yielded similar findings except for sad-neutral. Study 3 directly paired all three emotional stimuli in both orientations. The angry and happy stimuli did not significantly differ in terms of total motion, but both had more motion than the sad stimuli. Infants looked more at angry vs. sad, more at happy vs. sad, and about equally to angry vs. happy in both orientations. Again, therefore, infants preferred PLDs with more total body movement. Overall, the results indicate that a low-level motion preference may drive infants' discrimination of emotional human walking motions.

Groups at a glance: Perceivers infer social belonging in a group based on perceptual summaries of sex ratio.

Human observers extract perceptual summaries for sets of items after brief visual exposure, accurately judging the average size of geometric shapes (Ariely, 2001), walking direction of a crowd (Sweeny, Haroz, & Whitney, 2013), and the eye gaze of groups of faces (Sweeny & Whitney, 2014). In addition to such actuarial summaries, we hypothesize that observers also extract social information about groups that may influence downstream judgments and behavior. In four studies, we first show that humans quickly and accurately perceive the sex ratio of a group after only 500 ms of visual exposure. We then test whether these percepts bias judgments about the group's social attitudes and affect the perceiver's sense of belonging. As the ratio of men to women increased, both male and female perceivers judged the group to harbor more sexist norms, and judgments of belonging changed concomitantly, albeit in opposite directions for men and women. Thus, observers judge a group's sex ratio from a mere glimpse and use it to infer social attitudes and interpersonal affordances. We discuss the implication of these findings for a heretofore overlooked hurtle facing women in male-dominated fields (e.g., science, technology, engineering, or mathematics): how the ratio of men to women provides an early visible cue that signals an individual's potential fit. (PsycINFO Database Record (c) 2018 APA, all rights reserved).

Infant perception of sex differences in biological motion displays.

We examined mechanisms underlying infants' ability to categorize human biological motion stimuli from sex-typed walk motions, focusing on how visual attention to dynamic information in point-light displays (PLDs) contributes to infants' social category formation. We tested for categorization of PLDs produced by women and men by habituating infants to a series of female or male walk motions and then recording posthabituation preferences for new PLDs from the familiar or novel category (Experiment 1). We also tested for intrinsic preferences for female or male walk motions (Experiment 2). We found that infant boys were better able to categorize PLDs than were girls and that male PLDs were preferred overall. Neither of these effects was found to change with development across the observed age range (∼4-18 months). We conclude that infants' categorization of walk motions in PLDs is constrained by intrinsic preferences for higher motion speeds and higher spans of motion and, relatedly, by differences in walk motions produced by men and women.

Evidence for the Absence of Stimulus Quality Differences in Tests of the Accuracy of Sexual Orientation Judgments: A Reply to Cox, Devine, Bischmann, and Hyde (2016).

An article recently published in this journal (Cox, Devine, Bischmann, & Hyde, 2016) questioned the validity of existing research on the accurate judgment of sexual orientation from photographs of faces. Specifically, those authors reported a confound in their stimuli whereby the photos of sexual minorities (gay men and lesbians) were of higher quality than the photos of heterosexuals. Based on this finding, they concluded that the accuracy in judging sexual orientation from faces demonstrated in the broader literature is an artifact of stimulus quality differences. Here, we addressed this claim by systematically testing the numerous photo sets that we have used in 61 studies documenting accurate judgments of sexual orientation from facial cues published since 2007. Contrary to their claim, the overwhelming majority of studies (93%) showed no significant differences in photo quality according to sexual orientation. Of those that did show differences, most revealed that heterosexual targets' photos were actually of higher quality than sexual minority targets' photos - opposite of what Cox et al. found. In addition, we highlight additional research using stimuli equated for quality differences overlooked in the recent article by Cox et al., lending further support to the conclusion that sexual orientation is legible from multiple sensory cues.

Straight until proven gay: A systematic bias toward straight categorizations in sexual orientation judgments.

Perceivers achieve above chance accuracy judging others' sexual orientations, but they also exhibit a notable response bias by categorizing most targets as straight rather than gay. Although a straight categorization bias is evident in many published reports, it has never been the focus of systematic inquiry. The current studies therefore document this bias and test the mechanisms that produce it. Studies 1-3 revealed the straight categorization bias cannot be explained entirely by perceivers' attempts to match categorizations to the number of gay targets in a stimulus set. Although perceivers were somewhat sensitive to base rate information, their tendency to categorize targets as straight persisted when they believed each target had a 50% chance of being gay (Study 1), received explicit information about the base rate of gay targets in a stimulus set (Study 2), and encountered stimulus sets with varying base rates of gay targets (Study 3). The remaining studies tested an alternate mechanism for the bias based upon perceivers' use of gender heuristics when judging sexual orientation. Specifically, Study 4 revealed the range of gendered cues compelling gay judgments is smaller than the range of gendered cues compelling straight judgments despite participants' acknowledgment of equal base rates for gay and straight targets. Study 5 highlighted perceptual experience as a cause of this imbalance: Exposing perceivers to hyper-gendered faces (e.g., masculine men) expanded the range of gendered cues compelling gay categorizations. Study 6 linked this observation to our initial studies by demonstrating that visual exposure to hyper-gendered faces reduced the magnitude of the straight categorization bias. Collectively, these studies provide systematic evidence of a response bias in sexual orientation categorization and offer new insights into the mechanisms that produce it. (PsycINFO Database Record

More Than Meets the Eye: Split-Second Social Perception.

Recent research suggests that visual perception of social categories is shaped not only by facial features but also by higher-order social cognitive processes (e.g., stereotypes, attitudes, goals). Building on neural computational models of social perception, we outline a perspective of how multiple bottom-up visual cues are flexibly integrated with a range of top-down processes to form perceptions, and we identify a set of key brain regions involved. During this integration, 'hidden' social category activations are often triggered which temporarily impact perception without manifesting in explicit perceptual judgments. Importantly, these hidden impacts and other aspects of the perceptual process predict downstream social consequences - from politicians' electoral success to several evaluative biases - independently of the outcomes of that process.

Gendered race: are infants' face preferences guided by intersectionality of sex and race?

People occupy multiple social categories simultaneously (e.g., a White female), and this complex intersectionality affects fundamental aspects of social perception. Here, we examined the possibility that infant face processing may be susceptible to effects of intersectionality of sex and race. Three- and 10-month-old infants were shown a series of computer-generated face pairs (5 s each) that differed according to sex (Female or Male) or race (Asian, Black, or White). All possible combinations of face pairs were tested, and preferences were recorded with an eye tracker. Infants showed preferences for more feminine faces only when they were White, but we found no evidence that White or Asian faces were preferred even though they are relatively more feminized. These findings challenge the notions that infants' social categories are processed independently of one another and that infants' preferences for sex or race can be explained from mere exposure.

Intersecting Race and Gender Cues are Associated with Perceptions of Gay Men's Preferred Sexual Roles.

Preferences for anal sex roles (top/bottom) are an important aspect of gay male identity, but scholars have only recently begun to explore the factors that covary with these preferences. Here, we argue that the gendered nature of both racial stereotypes (i.e., Black men are masculine, Asian men are feminine) and sexual role stereotypes (i.e., tops are masculine, bottoms are feminine) link the categories Asian/bottom and the categories Black/top. We provide empirical evidence for these claims at three levels of analysis: At the cultural level based upon gay men's stereotypic beliefs about others (Study 1), at the interpersonal level based upon gay men's perceptions of others' sexual role preferences (Study 2), and at the intrapersonal level based upon racially diverse men's self-reported sexual roles on a public hookup website (Study 3). These studies offer the first systematic evidence of linkages between race categories and sexual roles in gay male communities.

Gendered Facial Cues Influence Race Categorizations.

Race and gender categories, although long presumed to be perceived independently, are inextricably tethered in social perception due in part to natural confounding of phenotypic cues. We predicted that target gender would affect race categorizations. Consistent with this hypothesis, feminine faces compelled White categorizations, and masculine faces compelled Asian or Black categorizations of racially ambiguous targets (Study 1), monoracial targets (Study 2), and real facial photographs (Study 3). The efficiency of judgments varied concomitantly. White categorizations were rendered more rapidly for feminine, relative to masculine faces, but the opposite was true for Asian and Black categorizations (Studies 1-3). Moreover, the effect of gender on categorization efficiency was compelled by racial phenotypicality for Black targets (Study 3). Finally, when targets' race prototypicality was held constant, gender still influenced race categorizations (Study 4). These findings indicate that race categorizations are biased by presumably unrelated gender cues.

"You can't tell just by looking!": beliefs in the diagnosticity of visual cues explain response biases in social categorization.

Perceivers use visual information to categorize others into social groups. That said, anecdotal reports suggest that perceivers are more comfortable making some categorizations (race, sex) than others (sexual orientation) on the basis of such limited information, perhaps because they hold differing beliefs about the diagnosticity of visual cues to those categories. The current studies tested this hypothesis empirically. We first developed a new measure-the Diagnosticity Scale-to assess beliefs about the diagnosticity of visual cues to diverse social categories. Next, we demonstrated that diagnosticity beliefs explain response tendencies in social perception, such that weak beliefs in the diagnosticity of visual cues to a given category predict biases toward the non-stigmatized, default response option. Collectively, these studies introduce the Diagnosticity Scale as a valid measure of perceivers' beliefs in visual cues to social categories, which help to explain some noteworthy biases in social perception.