Facial misfits accelerate stereotype-based associative learning.

Counterstereotypes challenge the deleterious effects that gender-typed beliefs exert on people's occupational aspirations and lifestyle choices. Surprisingly, however, the critical issue of how readily unexpected person-related knowledge can be acquired remains poorly understood. Accordingly, in two experiments in which the facial appearance of targets was varied to manipulate goodness-of-stereotype-fit (i.e., high vs. low femininity/masculinity), here we used a probabilistic selection task to probe the rate at which counter-stereotypic and stereotypic individuals can be learned. Whether occupational (Expt. 1) or trait-related (Expt. 2) gender stereotypes were explored, a computational analysis yielded consistent results. Underscoring the potency of surprising information (i.e., facial misfits), knowledge acquisition was accelerated for unexpected compared to expected persons, both in counter-stereotypic and stereotypic learning contexts. These findings affirm predictive accounts of social perception and speak to the optimal characteristics of interventions designed to reduce stereotyping outside the laboratory.

Adults Show Positive Moral Evaluations of Curiosity About Religion.

Four experiments investigated the perceived virtue of curiosity about religion. Adults from the United States made moral judgments regarding targets who exhibited curiosity, possessed relevant knowledge, or lacked both curiosity and knowledge about religion and comparison topics (e.g., science). Participants attributed greater moral goodness to targets who displayed curiosity compared with targets who were ignorant or knowledgeable about the domain. This preference was consistent across Jewish, Protestant, Catholic, and other Christian participants but was absent when atheists evaluated religious curiosity. Perceptions of effort partially mediated judgments: Participants viewed curious characters as exerting more effort and consequently rated them as more moral. To test causality, we manipulated perceptions of effort and showed that participants viewed curious characters who exerted effort as particularly moral. This work fosters novel insights into the perceived virtue of curiosity and further illuminates similarities and differences between religious and scientific cognition.

Unconstrained Descriptions of Facebook Profile Pictures Support High-Dimensional Models of Impression Formation.

Dominant models of impression formation focus on two fundamental dimensions: a horizontal dimension of warmth/communion/trustworthiness and a vertical dimension of competence/agency/dominance. However, these models have typically been studied using theory-driven methods and stimuli of restricted complexity. We used a data-driven approach and naturalistic stimuli to explore the latent dimensions underlying >300,000 unconstrained linguistic descriptions of 1,000 Facebook profile pictures from 2,188 participants. Via traditional (Exploratory Factor Analysis) and modern (natural language dictionaries, semantic sentence embeddings) approaches, we observed impressions to form with regard to the horizontal and vertical dimensions and their respective facets of sociability/morality and ability/assertiveness, plus the key demographic variables of gender, age, and race. However, we also observed impressions to form along numerous further dimensions, including adventurousness, conservatism, fitness, non-conformity, and stylishness. These results serve to emphasize the importance of high-dimensional models of impression formation and help to clarify the content dimensions underlying unconstrained descriptions of individuals.

Perspective: the evolution of hormones and person perception-a quantitative genetic framework.

Evolutionary biology provides a unifying theory for testing hypotheses about the relationship between hormones and person perception. Person perception usually receives attention from the perspective of sexual selection. However, because person perception is one trait in a suite regulated by hormones, univariate approaches are insufficient. In this Perspectives article, quantitative genetics is presented as an important but underutilized framework for testing evolutionary hypotheses within this literature. We note tacit assumptions within the current literature on psychiatric genetics, which imperil the interpretation of findings thus far. As regulators of a diverse manifold of traits, hormones mediate tradeoffs among an array of functions. Hormonal pleiotropy also provides the basis of correlational selection, a process whereby selection on one trait in a hormone-mediated suite generates selection on the others. This architecture provides the basis for conflicts between sexual and natural selection within hormone-mediated suites. Due to its role in person perception, psychiatric disorders, and reproductive physiology, the sex hormone estrogen is highlighted as an exemplar here. The implications of this framework for the evolution of person perception are discussed. Empirical quantification of selection on traits within hormone-mediated suites remains an important gap in this literature with great potential to illuminate the fundamental nature of psychiatric disorders.

Normativity vs. uniqueness: effects of social relationship strength on neural representations of others.

Understanding others involves inferring traits and intentions, a process complicated by our reliance on stereotypes and generalized information when we lack personal information. Yet, as relationships are formed, we shift toward nuanced and individualized perceptions of others. This study addresses how relationship strength influences the creation of unique or normative representations of others in key regions known to be involved in social cognition. Employing a round-robin interpersonal perception paradigm (N = 111, 20 groups of five to six people), we used functional magnetic resonance imaging to examine whether the strength of social relationships modulated the degree to which multivoxel patterns of activity that represented a specific other were similar to a normative average of all others in the study. Behaviorally, stronger social relationships were associated with more normative trait endorsements. Neural findings reveal that closer relationships lead to more unique representations in the medial prefrontal cortex and anterior insula, areas associated with mentalizing and person perception. Conversely, more generalized representations emerge in posterior regions like the posterior cingulate cortex, indicating a complex interplay between individuated and generalized processing of social information in the brain. These findings suggest that cortical regions typically associated with social cognition may compute different kinds of information when representing the distinctiveness of others.

Decoding the language of first impressions: Comparing models of first impressions of faces derived from free-text descriptions and trait ratings.

First impressions formed from facial appearance predict important social outcomes. Existing models of these impressions indicate they are underpinned by dimensions of Valence and Dominance, and are typically derived by applying data reduction methods to explicit ratings of faces for a range of traits. However, this approach is potentially problematic because the trait ratings may not fully capture the dimensions on which people spontaneously assess faces. Here, we used natural language processing to extract 'topics' directly from participants' free-text descriptions (i.e., their first impressions) of 2222 face images. Two topics emerged, reflecting first impressions related to positive emotional valence and warmth (Topic 1) and negative emotional valence and potential threat (Topic 2). Next, we investigated how these topics were related to Valence and Dominance components derived from explicit trait ratings. Collectively, these components explained only ~44% of the variance in the topics extracted from free-text descriptions and suggested that first impressions are underpinned by correlated valence dimensions that subsume the content of existing trait-rating-based models. Natural language offers a promising new avenue for understanding social cognition, and future work can examine the predictive utility of natural language and traditional data-driven models for impressions in varying social contexts.

People who seem disgusting seem more immoral.

Despite unresolved questions about replicability, a substantial number of studies find that disgust influences and arises from evaluations of immoral behavior and people. Departing from prior emphases, the current research examines a novel, related question: Are people who are viewed as disgusting (i.e., people whose habits seem disgusting) perceived as more immoral than typical or unusual people? Four experiments examined this, also exploring the downstream impacts of moral character judgments. Adults who seemed disgusting were regarded as more immoral for purity and non-purity violations (Experiment 1) and less praiseworthy for prosocial acts (Experiment 2). In Experiment 3, an 8-year-old with typical (but seemingly disgusting) habits was rated as "naughtier" and likelier to misbehave than an atypical child who loved vegetables and disliked sweets. Experiment 4 revealed how, when no behavioral information is available, beliefs about target disgust influence beliefs about future behavior, helping explain why seemingly disgusting targets are viewed as more immoral, but not always more punishable for their bad behavior.

Perceived controllability of group membership does not moderate individuating information effects in implicit person perception.

Although the effects of counterstereotypic individuating information (i.e., information specific to individual members of stereotyped groups that disconfirms the group stereotype) on biases in explicit person perception are well-established, research shows mixed effects of such information on implicit person perception. The present research tested the overarching hypothesis that, when social group membership is perceived to be under an individual's control, diagnostic individuating information would have lesser effects on implicit person perception than it would when social group membership is perceived not to be under an individual's control. This hypothesis was tested in the domain of implicit attitudinal and stereotype-relevant judgments of individuals who belonged to existing social groups and individuals who belonged to novel social groups. We found that individuating information consistently shifted scores on implicit measures among targets belonging to existing social groups, but not in a theoretically predicted direction among targets belonging to novel social groups. Controllability of group membership did not moderate such effects. Results of implicit and explicit measures were mostly consistent when targets belonged to existing social groups, but mostly inconsistent when targets belonged to novel social groups.

Does a perceptual gap lead to actions against digital misinformation? A third-person effect study among medical students.

BACKGROUND: We are making progress in the fight against health-related misinformation, but mass participation and active engagement are far from adequate. Focusing on pre-professional medical students with above-average medical knowledge, our study examined whether and how third-person perceptions (TPP), which hypothesize that people tend to perceive media messages as having a greater effect on others than on themselves, would motivate their actions against misinformation. METHODS: We collected the cross-sectional data through a self-administered paper-and-pencil survey of 1,500 medical students in China during April 2022. RESULTS: Structural equation modeling (SEM) analysis, showed that TPP was negatively associated with medical students' actions against digital misinformation, including rebuttal of misinformation and promotion of corrective information. However, self-efficacy and collectivism served as positive predictors of both actions. Additionally, we found professional identification failed to play a significant role in influencing TPP, while digital misinformation self-efficacy was found to broaden the third-person perceptual gap and collectivism tended to reduce the perceptual bias significantly. CONCLUSIONS: Our study contributes both to theory and practice. It extends the third-person effect theory by moving beyond the examination of restrictive actions and toward the exploration of corrective and promotional actions in the context of misinformation., It also lends a new perspective to the current efforts to counter digital misinformation; involving pre-professionals (in this case, medical students) in the fight.

Forming Evaluations of Moral Character: How Are Multiple Pieces of Information Prioritized and Integrated?

Evaluating other people's moral character is a crucial social cognitive task. However, the cognitive processes by which people seek out, prioritize, and integrate multiple pieces of character-relevant information have not been studied empirically. The first aim of this research was to examine which character traits are considered most important when forming an impression of a person's overall moral character. The second aim was to understand how differing levels of trait expression affect overall character judgments. Four preregistered studies and one supplemental study (total N = 720), using five different measures of importance and sampling undergraduates, online workers, and community members, found that our participants placed the most importance on the traits honest, helpful, compassionate, loyal, and responsible. Also, when integrating the information that they have learned, our participants seemed to engage in a simple averaging process in which all available, relevant information is combined in a linear fashion to form an overall evaluation of moral character. This research provides new insights into the cognitive processes by which evaluations of moral character are formed.

Distinct Yet Proximal Face- and Body-Selective Brain Regions Enable Clutter-Tolerant Representations of the Face, Body, and Whole Person.

Faces and bodies are processed in separate but adjacent regions in the primate visual cortex. Yet, the functional significance of dividing the whole person into areas dedicated to its face and body components and their neighboring locations remains unknown. Here we hypothesized that this separation and proximity together with a normalization mechanism generate clutter-tolerant representations of the face, body, and whole person when presented in complex multi-category scenes. To test this hypothesis, we conducted a fMRI study, presenting images of a person within a multi-category scene to human male and female participants and assessed the contribution of each component to the response to the scene. Our results revealed a clutter-tolerant representation of the whole person in areas selective for both faces and bodies, typically located at the border between the two category-selective regions. Regions exclusively selective for faces or bodies demonstrated clutter-tolerant representations of their preferred category, corroborating earlier findings. Thus, the adjacent locations of face- and body-selective areas enable a hardwired machinery for decluttering of the whole person, without the need for a dedicated population of person-selective neurons. This distinct yet proximal functional organization of category-selective brain regions enhances the representation of the socially significant whole person, along with its face and body components, within multi-category scenes.

Masks wearing off: Changing effects of face masks on trustworthiness over time.

During the global COVID-19 pandemic, the wearing of face masks became a common practice, raising questions about how masks affect perceptions of and behaviour towards others. Numerous studies have explored the impact of face masks on perceptions of trustworthiness, but results have been mixed and it remains unclear whether masks influence perceptions via their social meaning or their effects on facial appearance. In this study, Australian participants (N = 363) rated a series of faces which were either masked, unmasked, or occluded by a non-mask object (computer) in terms of perceived trustworthiness in 2020, 2022, or 2023. The apparent trustworthiness of unmasked faces remained stable across years, but masked faces were rated significantly more trustworthy in 2020 compared to 2022 and 2023. Furthermore, ratings of masked faces, but not unmasked faces, were correlated with participants' attitudes towards wearing masks. Faces occluded by a non-mask object were perceived to be less trustworthy than masked faces. Together, results strongly suggest the increase in perceived trustworthiness of masked faces reported in numerous studies conducted during COVID-19 were driven by positive social meanings around mask wearing rather than by their effect on facial appearance.

When What Is Beautiful Is Not Good: The Role of Trait Self-Control in Resisting Eye Candy.

People are drawn to and like others who are physically attractive. In the present research, we investigated the influence of trait self-control on individuals' interest in relationships with physically attractive others. We hypothesized that high (vs. low) self-control individuals would approach relationships by considering information beyond appearance about potential partners, including partners' self-control. We additionally explored the influence of other traits (e.g., Big 5, self-esteem, and attachment styles) on relationship interest. Across studies, we consistently found that individuals with higher self-control avoided pursuing relationships with attractive individuals who display low self-control. In Study 3, we observed a similar pattern for three other traits: conscientiousness, extraversion, and positivity embracement. These results suggest perceivers' self-control shapes relationship interest, particularly when attractive individuals possess less desirable qualities. The findings extend past research that attractiveness increases interest in others and highlights the potential for trait self-control to direct relationship interest during initial interactions.

Familiarity Is Key: Exploring the Effect of Familiarity on the Face-Voice Correlation.

Recent research has examined the extent to which face and voice processing are associated by virtue of the fact that both tap into a common person perception system. However, existing findings do not yet fully clarify the role of familiarity in this association. Given this, two experiments are presented that examine face-voice correlations for unfamiliar stimuli (Experiment 1) and for familiar stimuli (Experiment 2). With care being taken to use tasks that avoid floor and ceiling effects and that use realistic speech-based voice clips, the results suggested a significant positive but small-sized correlation between face and voice processing when recognizing unfamiliar individuals. In contrast, the correlation when matching familiar individuals was significant and positive, but much larger. The results supported the existing literature suggesting that face and voice processing are aligned as constituents of an overarching person perception system. However, the difference in magnitude of their association here reinforced the view that familiar and unfamiliar stimuli are processed in different ways. This likely reflects the importance of a pre-existing mental representation and cross-talk within the neural architectures when processing familiar faces and voices, and yet the reliance on more superficial stimulus-based and modality-specific analysis when processing unfamiliar faces and voices.

Racial Prejudice Affects Representations of Facial Trustworthiness.

What makes faces seem trustworthy? We investigated how racial prejudice predicts the extent to which perceivers employ racially prototypical cues to infer trustworthiness from faces. We constructed participant-level computational models of trustworthiness and White-to-Black prototypicality from U.S. college students' judgments of White (Study 1, N = 206) and Black-White morphed (Study 3, N = 386) synthetic faces. Although the average relationships between models differed across stimuli, both studies revealed that as participants' anti-Black prejudice increased and/or intergroup contact decreased, so too did participants' tendency to conflate White prototypical features with trustworthiness and Black prototypical features with untrustworthiness. Study 2 (N = 324) and Study 4 (N = 397) corroborated that untrustworthy faces constructed from participants with pro-White preferences appeared more Black prototypical to naive U.S. adults, relative to untrustworthy faces modeled from other participants. This work highlights the important role of racial biases in shaping impressions of facial trustworthiness.

Virtual group photography based on scene and person perception.

Group photos have become indispensable in various gathering scenarios, such as family reunions, friends' gatherings, competitions, conferences, store openings, and school graduation ceremonies. The researchers tried automatically adding people who could not participate in the group photo. However, the current research on generating the pose or position of the person by context prediction of the group photo ignores the individual attributes (such as height and body shape) of the target person and does not consider the pose and boundary of the person at the same time. To address these issues, we propose a virtual group photography model that combines the global context of a group photo and the individual attributes of the target person. The model is divided into two stages. The first stage is to predict the person's position, pose, and boundary in the new group photo based on the context of the input group photo and the person's characteristics. The second stage generates new group photos based on the first stage's pose and boundary results. The experimental results show that our method can significantly improve the harmony and authenticity of the synthesis of people in group photos and synthesize the characters that should exist in the group photo, which is very suitable for the field of group photos.

Left-handed voices? Examining the perceptual learning of novel person characteristics from the voice.

We regularly form impressions of who a person is from their voice, such that we can readily categorise people as being female or male, child or adult, trustworthy or not, and can furthermore recognise who specifically is speaking. How we establish mental representations for such categories of person characteristics has, however, only been explored in detail for voice identity learning. In a series of experiments, we therefore set out to examine whether and how listeners can learn to recognise a novel person characteristic. We specifically asked how diagnostic acoustic properties underpinning category distinctions inform perceptual judgements. We manipulated recordings of voices to create acoustic signatures for a person's handedness (left-handed vs. right-handed) in their voice. After training, we found that listeners were able to successfully learn to recognise handedness from voices with above-chance accuracy, although no significant differences in accuracy between the different types of manipulation emerged. Listeners were, furthermore, sensitive to the specific distributions of acoustic properties that underpinned the category distinctions. We, however, also find evidence for perceptual biases that may reflect long-term prior exposure to how voices vary in naturalistic settings. These biases shape how listeners use acoustic information in the voices when forming representations for distinguishing handedness from voices. This study is thus a first step to examine how representations for novel person characteristics are established, outside of voice identity perception. We discuss our findings in light of theoretical accounts of voice perception and speculate about potential mechanisms that may underpin our results.

Stereotypes bias social class perception from faces: The roles of race, gender, affect, and attractiveness.

People quickly form consequential impressions of others' social class standing from nonverbal cues, including facial appearance. Extant research shows that perceivers judge faces that appear more positive, attractive, and healthy as higher-class, in line with stereotypes associating high class standing with happiness, attractiveness, and better wellbeing (which bear a kernel of truth). A wealth of research, moreover, demonstrates strong stereotypical associations between social class and both race and gender. The current work bridged these areas of inquiry to explore (1) intersectional biases in social class impressions from faces and (2) how associations between social class and attractiveness/health and affect can be used to shift social class impressions. Our studies found evidence of race and gender stereotypes impacting British perceivers' social class judgements, with Black (vs. White and Asian) and female (vs. male) faces judged as lower in class. Furthermore, manipulating faces' emotion expression shifted judgements of their social class, with variations in magnitude by faces' race, such that emotion expressions shifted judgements of Black faces more than White faces. Finally, manipulating faces' complexion to appear healthier/more attractive shifted social class judgements, with the magnitude of this varying by faces' and perceivers' race, suggesting a role of perceptual expertise. These findings demonstrate that stereotypes bias social class impressions and can be used to manipulate them.

The Relative Contribution of Facial and Body Information to the Perception of Cuteness.

Faces and bodies both provide cues to age and cuteness, but little work has explored their interaction in cuteness perception. This study examines the interplay of facial and bodily cues in the perception of cuteness, particularly when these cues convey conflicting age information. Participants rated the cuteness of face-body composites that combined either a child or adult face with an age-congruent or incongruent body alongside manipulations of the head-to-body height ratio (HBR). The findings from two experiments indicated that child-like facial features enhanced the perceived cuteness of adult bodies, while child-like bodily features generally had negative impacts. Furthermore, the results showed that an increased head size significantly boosted the perceived cuteness for child faces more than for adult faces. Lastly, the influence of the HBR was more pronounced when the outline of a body's silhouette was the only available information compared to when detailed facial and bodily features were presented. This study suggests that body proportion information, derived from the body's outline, and facial and bodily features, derived from the interior surface, are integrated to form a unitary representation of a whole person in cuteness perception. Our findings highlight the dominance of facial features over bodily information in cuteness perception, with facial attributes serving as key references for evaluating face-body relationships and body proportions. This research offers significant insights into social cognition and character design, particularly in how people perceive entities with mixed features of different social categories, underlining the importance of congruency in perceptual elements.

Examining the Contribution of Physical Cues for Same- and Cross-Race Face Individuation.

Face individuation involves sensitivity to physical characteristics that provide information about identity. We examined whether Black and White American faces differ in terms of individuating information, and whether Black and White perceivers differentially weight information when judging same-race and cross-race faces. Study 1 analyzed 20 structural metrics (e.g., eye width, nose length) of 158 Black and White faces to determine which differentiate faces within each group. High-utility metrics (e.g., nose length, eye height, chin length) differentiated faces of both groups, low-utility metrics (e.g., face width, eye width, face length) offered less individuating information. Study 2 (N = 4,510) explored Black and White participants' sensitivity to variation on structural metrics using similarity ratings. High-utility metrics affected perceived dissimilarity more than low-utility metrics. This relationship was non-significantly stronger for same-race faces rather than cross-race faces. Perceivers also relied more on features that were racially stereotypic of the faces they were rating.