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Most studies of developing visual attention are conducted using screen-based tasks in which infants move their eyes to select where to look. However, real-world visual exploration entails active movements of both eyes and head to bring relevant areas in view. Thus, relatively little is known about how infants coordinate their eyes and heads to structure their visual experiences. Infants were tested every 3 months from 9 to 24 months while they played with their caregiver and three toys while sitting in a highchair at a table. Infants wore a head-mounted eye tracker that measured eye movement toward each of the visual targets (caregiver's face and toys) and how targets were oriented within the head-centered field of view (FOV). With age, infants increasingly aligned novel toys in the center of their head-centered FOV at the expense of their caregiver's face. Both faces and toys were better centered in view during longer looking events, suggesting that infants of all ages aligned their eyes and head to sustain attention. The bias in infants' head-centered FOV could not be accounted for by manual action: Held toys were more poorly centered compared with non-held toys. We discuss developmental factors-attentional, motoric, cognitive, and social-that may explain why infants increasingly adopted biased viewpoints with age.

When looking at faces, humans invariably move their eyes to a consistent preferred first fixation location on the face. While most people have the preferred fixation location just below the eyes, a minority have it between the nose-tip and mouth. Not much is known about whether these long-term differences in the preferred fixation location are associated with distinct neural representations of faces. To study this, we used a gaze-contingent face adaptation aftereffect paradigm to test in two groups of observers, one with their mean preferred fixation location closer to the eyes (upper lookers) and the other closer to the mouth (lower lookers). In this task, participants were required to maintain their gaze at either their own groups mean preferred fixation location or that of the other group during adaptation and testing. The two possible fixation locations were 3.6° apart on the face. We measured the face adaptation aftereffects when the adaptation and testing happened while participants maintained fixation at either the same or different locations on the face. Both groups showed equally strong adaptation effects when the adaptation and testing happened at the same fixation location. Crucially, only the upper lookers showed a partial transfer of the FAE across the two fixation locations, when adaptation occurred at the eyes. Lower lookers showed no spatial transfer of the FAE irrespective of the adaptation position. Given the classic finding that neural tuning is increasingly position invariant as one moves higher in the visual hierarchy, this result suggests that differences in the preferred fixation location are associated with distinct neural representations of faces.

In the present study, we sought to examine whether face recognition problems impact the social anxiety experienced by autistic people. Many autistic people – perhaps between 15% and 30% – exhibit severe face recognition problems that closely resemble developmental prosopagnosia. At present, however, little is known about the psychosocial consequences of these difficulties. Autistic participants (N = 60) with varying degrees of face recognition ability completed two measures of face recognition (the original and Australian variants of the Cambridge Face Memory test), a measure of social anxiety (the Social Interaction Anxiety Scale) and a bespoke survey that enquired about individuals' experiences of face recognition and social interaction. Relative to autistic individuals with average or above-average face recognition, autistic individuals with poor face recognition described significantly higher levels of social anxiety. Moreover, more than half our participants felt that poor face recognition hampered their social interaction, while more than a third thought that poor face recognition had undermined their efforts to make friends. These initial results suggest that poor face recognition may be an important determinant of social anxiety in autism. Research has shown that some autistic people have severe difficulties in recognising other people's faces. However, little is understood about how these difficulties impact the daily life and the mental well-being of autistic people. In this study, we asked 60 autistic adults with varying degrees of face recognition ability to complete two tests of face recognition, a questionnaire about social anxiety and a bespoke survey which asked participants about their experiences of face recognition and social interaction. We found that participants who had poor face recognition reported experiencing higher levels of social anxiety compared to those with average or better face recognition skills. More than half felt that their face recognition difficulties affected their social interactions, and over a third believed it hindered their ability to make friends. These findings suggest that face recognition difficulties may contribute to social anxiety among autistic individuals. [ABSTRACT FROM AUTHOR]

People spontaneously judge others' personality based on their facial appearance and these impressions guide many important decisions. Although the consequences of personality impressions are well documented, studies on the accuracy of personality impressions have yielded mixed results. Moreover, relatively little is known about people's accuracy awareness (i.e., whether they are aware of their judgment accuracy). Even if accuracy is generally low, awareness of accuracy would allow people to rely on their impressions in the right situations. In two studies (one preregistered), we estimated perceivers' accuracy and accuracy awareness when forming personality impressions based on facial photographs. Our studies have three crucial advantages as compared to previous studies (a) by incentivizing accuracy and accuracy awareness, (b) by relying on substantially larger samples of raters (n Study 1 = 223, n Study 2 = 423) and targets (k Study 1 = 140, k Study 2 = 1,260 unique pairs with 280 unique targets), and (c) by conducting Bayesian analyses to also quantify evidence for the null hypothesis. Our findings suggest that face-based personality impressions are not accurate, that perceivers lack insight into their (in)accuracy, and that most people overestimate their accuracy. [ABSTRACT FROM AUTHOR]

A glance is enough to assign psychological attributes to others. Attractiveness is associated with positive attributes ('beauty‐is‐good' stereotype). Here, we raise the question of a similar but negative bias. Are people with facial anomalies associated with negative personal characteristics? We hypothesized that biases against faces with anomalies arise because of negative stereotypes (less warmth and competence) and forms of dehumanization (animalistic and mechanistic). We enrolled 1493 mTurk participants (N = 1306 after exclusion) to assess 31 traits of photographed people using 60 pairs of photographs of the same person before and after plastic surgery. Half anomalous faces had a scar and the other half had a palsy. To calculate warmth and competence, we conducted a principal components analysis of the 31 attributes. Animalistic dehumanization was assessed by averaging reverse‐scored ratings corresponding to moral sensibility and rationality/logic, and mechanistic dehumanization by averaging across reverse‐scored ratings corresponding to emotional responsiveness and interpersonal warmth. We found that both kinds of anomalous faces were seen as less warm, competent and were dehumanized. Our findings suggest that an 'anomalous‐is‐bad' stereotype generalizes regardless of the aetiology of the anomaly. This effect may be related to a reverse halo effect, that is, the horn effect. [ABSTRACT FROM AUTHOR]

Young infants' face perception capabilities quickly tune to the features of their primary caregiver. The current study examines whether infants distinguish faces in a more conceptual manner using a manual‐search, violation of expectation task that has previously been used to test kind‐based individuation. We tested how well infants between 11 and 27 months of age individuated faces that varied by superordinate category (human vs. non‐human in Experiment 1) subordinate category (individual identity in Experiment 2) or by race (White vs. Black, Experiments 1 & 2). We assessed individuation by quantifying the difference in infants' duration of reaching within an empty box between trials when the box was unexpectedly empty and expectedly empty. We found evidence of individuation across all ages and conditions, but with within‐infant variation. On average, infants individuated face from non‐face stimuli (Experiment 1), individual face identities (Experiment 2), and White versus Black faces (Experiments 1 & 2). These findings suggest that 1‐ to 2‐year‐old infants use distinct human face features to represent individuals across time and space. We discuss this evidence for race‐based individuation and related complexities of face identity in terms of implications for conceptual development for faces in the first years of life. [ABSTRACT FROM AUTHOR]

Turn‐taking is a universal pattern of human conversations characterized by a fast exchange of turns between speakers and an avoidance of overlaps. Language is embedded in this conversational skill acquired well before it during infancy, through everyday interactions with caregivers. The earliness of this skill and its link with language allows us to test whether social environment shapes early language development. We therefore study turn‐taking perception of 6‐month‐old infants by measuring their gazes during video presentation of three different conversational situations where the turn is explicitly given, normally taken or taken with an overlap. We studied 51 infants to cover several family and infant characteristics: infants' sex, presence of siblings, and family socioeconomic status (SES). We found that infants looked more at the second speaker when she overlapped the first speaker than in the other situations, but not all infants were equally sensitive. Indeed, infants from high‐SES families reacted differently to the three situations, while infants from the two lower SES categories did not. Also, only singletons reacted differently by looking more at the second speaker after the overlapping and turn‐giving situations, and not after the turn‐taking situation. Our results emphasize the importance of early social experiences on language development. [ABSTRACT FROM AUTHOR]

The present study examined the influence of task demands and participants' implicit racial biases on P100, N170, P200, and N250 responses to own- and other-race faces. White adults completed an Implicit Association Test (IAT) with White and Asian faces. They also completed a face race categorization task and a face identity processing task with White and Asian faces while continuous EEG was recorded. Implicit racial bias as well as its interaction with task demands modulated early face-sensitive responses to own- and other-race faces. Adults with relatively larger implicit biases favoring their own race showed different ERP responses to own- and other-race faces later in their face processing and regardless of task demands. However, among adults with relatively smaller implicit biases favoring their own race, differences in ERP responses to own- and other-race faces occurred earlier and was task dependent. [ABSTRACT FROM AUTHOR]

Within psychology, face perception processes have been widely studied, examining traits and social categories that a face can communicate. However, much of this research has predominately focused on White faces. We review existing face databases that include racially diverse stimuli and note the lack of representation of Asian subgroups (e.g. East, South, and Southeast Asian), Pacific Islanders, as well as both Multiracial and multiethnic faces (especially with multiple minoritized backgrounds). We provide a new racially diverse set of free, standardized images including 140 unique faces representing eight different groups that vary in ethnicity and race (Asian, East Asian, Southeast Asian, Pacific Islander/Native Hawaiian, Hispanic/Latinx, White, Multiracial, and Multiracial Asian), along with norming data. These images and data are available for access use in research: https://osf.io/fkn7y [ABSTRACT FROM AUTHOR]

High-level visual functions such as reading and face recognition rely on global processes, which are often insensitive to high spatial frequencies. However, it is unknown whether a sharp cone signal is necessary for the development of these skills or whether a blurry rod signal is sufficient. CNGA3/B3-achromatopsia is a congenital disease stemming from cone dysfunction, leading to rod-only vision characterized by nystagmus, impaired acuity, and complete color blindness. We tested reading and face recognition in CNGA3/B3-achromatopsia patients (ACHM) to determine whether a rod signal is sufficient for these skills to develop. We tested 10 ACHM and 10 controls in three experiments under dark and light conditions. Initially, we evaluated acuity along the eccentricity axis. Later, we tested reading speed and upright/inverted face matching accuracy while tracking participants' eye movements. Given that ACHM patients' acuity under light conditions resembled that of controls under dark conditions, we selected these conditions for comparison. Remarkably, ACHM reading speed, face recognition abilities, and susceptibility to face inversion were not inferior to those of controls. Additionally, ACHM patients exhibited similar eye movements to controls, focusing their attention on specific areas of words and faces that indicate expertise. Despite the evident low-level limitations, ACHM patients demonstrated notable high-level visual skills, suggesting that rod-only vision is sufficient for the development of proficient reading and face recognition. These findings not only corroborate empirical evidence for high-level vision models but also enrich the discussion regarding the reasons for high-level deficits observed in individuals who have gained sight late in life. [ABSTRACT FROM AUTHOR]

Background: Visual perception of face images or face pareidolia can be evaluated with event-related potentials (ERP) for healthy subjects and patients with neurological conditions. In this study, we aimed to analyse event-related potential components such as P100, N100, N170, and vertex-positive potential (VPP) in response to face pareidolia perception in temporal lobe epilepsy (TLE) patients. Methods: ERPs were recorded during the pareidolia test. Waveforms were analzyed and current source density (CSD) maps were generated. Results: CSD profiles were shown to be interpretable when face and face pareidolia conditions. N100, P100, and N170 components showed larger amplitudes and longer latency in epilepsy patients in response to face pareidolia stimuli compared to real face images. However, the N170 component latency did not differ significantly between epilepsy patients and healthy participants, while the larger amplitude and longer latency of N100 and P100 responses were evoked in healthy patients. Conclusions: Our results indicate a difference in the neural mechanisms of processing real face information and pareidolia face-like information in TLE patients. [ABSTRACT FROM AUTHOR]

Cultural difference in ensemble emotion perception is an important research question, providing insights into the complexity of human cognition and social interaction. Here, we conducted two experiments to investigate how emotion perception would be affected by other ethnicity effects and ensemble coding. In Experiment 1, two groups of Asian and Caucasian participants were tasked with assessing the average emotion of faces from their ethnic group, other ethnic group, and mixed ethnicity groups. Results revealed that participants exhibited relatively accurate yet amplified emotion perception of their group faces, with a tendency to overestimate the weight of the faces from the other ethnic group. In Experiment 2, Asian participants were instructed to discern the emotion of a target face surrounded by faces from Caucasian and Asian faces. Results corroborated earlier findings, indicating that while participants accurately perceived emotions in faces of their ethnicity, their perception of Caucasian faces was noticeably influenced by the presence of surrounding Asian faces. These findings collectively support the notion that the other ethnicity effect stems from differential emotional amplification inherent in ensemble coding of emotion perception. [ABSTRACT FROM AUTHOR]

Difficulties in global face processing have been associated with autism. However, autism is heterogenous, and it is not known which dimensions of autistic traits are implicated in face-processing difficulties. To address this gap in knowledge, we conducted two experiments to examine how identification of Mooney face stimuli (stylized, black-and-white images of faces without details) related to the six subscales of the Comprehensive Autistic Trait Inventory in young adults. In Experiment 1, regression analyses indicated that participants with poorer communication skills had lower task sensitivity when discriminating between face-present and face-absent images, whilst other autistic traits had no unique predictive value. Experiment 2 replicated these findings and additionally showed that autistic traits were linked to a reduced face inversion effect. Taken together, these results indicate autistic traits, especially communication difficulties, are associated with reduced configural processing of face stimuli. It follows that both reduced sensitivity for identifying upright faces amongst similar-looking distractors and reduced susceptibility to face inversion effects may be linked to relatively decreased reliance on configural processing of faces in autism. This study also reinforces the need to consider the different facets of autism independently. [ABSTRACT FROM AUTHOR]

Background: Although the prevalence is unknown, psychopathy can be a possible co‐occurring condition associated with autism especially among forensic populations. However, the relationship between these two conditions remains poorly understood. Aims: To carry out a systematic review of the available literature exploring the relationship between autism and psychopathy. Methods: A systematic literature review following Preferred Reporting Items for Systematic Reviews and Meta‐Analyses guidelines using terms for autism and psychopathy to search the literature databases Scopus, Pubmed, Web of Science, ASSIA, APA Psych Info, Medline and EMBASE from 1980 to March 2024. For inclusion, we required that a recognised measure of autism and psychopathy or associated features of the latter had been used. Results: Of the 4230 potential articles identified, 37 met the selection criteria. Insufficient and inconsistent methodologies for data pooling meant that a narrative analysis was used. Although there is some overlap, four broad themes emerged relating to (1) assessment and frequency of co‐occurrence, (2) behavioural and neurophysiological expressions of empathy, (3) behavioural contagion effects, mirroring, mimicry and other linking mechanisms and (4) emotional face perception and theory of mind characteristics. Within these areas there are some specific differences between the two conditions. However, the research to date examining the relationship between autism and psychopathy has mostly been with children and males, carried out with non‐clinical non‐forensic populations, as well as using self‐report measures and parental ratings. Prior research has also largely focused on looking for differences between these conditions rather than co‐occurrence. Conclusion: This review outlines a case for considering autism and psychopathy as distinct, but potentially co‐occurring conditions and highlights the need for more research into how the two conditions interact with clinical populations. There also appears to be a need for guidelines on when and how to assess psychopathy with autistic individuals and a better understanding of the therapeutic needs and factors influencing the long‐term outcomes of autistic individuals who may also present with co‐occurring psychopathy. [ABSTRACT FROM AUTHOR]

Shortly after birth, both naïve animals and newborn babies exhibit a spontaneous attraction to faces and face-like stimuli. While neurons selectively responding to faces have been found in the inferotemporal cortex of adult primates, face-selective domains in the brains of young monkeys seem to develop only later in life after exposure to faces. This has fueled a debate on the role of experience in the development of face-detector mechanisms, since face preferences are well documented in naïve animals, such as domestic chicks reared without exposure to faces. Here, we demonstrate that neurons in a higher-order processing brain area of one-week-old face-naïve domestic chicks selectively respond to a face-like configuration. Our single-cell recordings show that these neurons do not respond to alternative configurations or isolated facial features. Moreover, the population activity of face-selective neurons accurately encoded the face-like stimulus as a unique category. Thus, our findings show that face selectivity is present in the brains of very young animals without preexisting experience. [ABSTRACT FROM AUTHOR]

Despite the widespread use of face masks to combat COVID‐19, little is known about their immediate and delayed social consequences. To understand short‐ and long‐term effects of face masks on interpersonal perception, we measured the evaluation of faces with and without masks at four time points—June 2020, January 2021, September 2021 and June 2022—from the early months of the pandemic in North America to the more recent, and from the implementation of mask mandates to the end of these requirements. Surprisingly, we found that, in general, faces with masks were perceived as more competent, warm, trustworthy, considerate and attractive, but less dominant and anxious than faces without masks. Moreover, differences in attributions of dominance, trustworthiness and warmth between faces with and without masks increased in a linear trend from June 2020 to June 2022. Notably, the impact of masks on perceptions of competence, considerateness, attractiveness and anxiousness did not change over time. We discuss how mask mandates can alter people's social perceptions of others who wear masks compared to those who do not wear masks and how these mandates may influence attributions of some traits more than others through mere exposure and/or social norms. [ABSTRACT FROM AUTHOR]

Facial first impressions influence jurors in both laboratory experiments and real courtrooms. Often, more attractive defendants are perceived as less guilty and receive more lenient sentences. However, the type of crime under consideration, as well as the ecological validity of the stimuli presented, may determine the nature of this bias. Here, extending previous work, we considered three crime types (robbery, sexual assault, and murder) and utilised short video clips of male defendants, accompanied by real-world crime descriptions. Crucially, we varied attractiveness by presenting a large set of identities, in comparison with the typical use of one "high" and one "low" attractive face. Using null hypothesis significance testing, we found no evidence that either attractiveness or crime type influenced guilt perceptions. Taking a Bayesian perspective, our results provided some evidence that more attractive defendants were rated as less guilty of murder but more guilty of sexual assault, with no bias observed for robbery. Importantly, however, none of these effects had high certainty and all were small in size. By comparing the extremes of attractiveness, we again found inconclusive evidence of any attractiveness effects, with small differences in all cases. The implications for this departure from previous findings are discussed in terms of ecological validity and the need to consider attractiveness as a continuous rather than binary measure. [ABSTRACT FROM AUTHOR]

Humans and primates rely on visual face recognition for social interactions. Damage to specific brain areas causes prosopagnosia, a condition characterized by the inability to recognize familiar faces, indicating the presence of specialized brain areas for facial‐recognition processing. A breakthrough finding came from a non‐human primate (NHP) study conducted in the early 2000s; it was the first to identify multiple face‐processing areas in the temporal lobe, termed "face patches." Subsequent studies have demonstrated the unique role of each face patch in the structural analysis of faces. More recent studies have expanded these findings by exploring the role of face‐patch networks in social and memory functions and the importance of early face exposure in the development of the system. In this review, we discuss the neuronal mechanisms responsible for analyzing facial features, categorizing faces, and associating faces with memory and social contexts within both the cerebral cortex and subcortical areas. Use of NHPs in neuropsychological and neurophysiological studies can highlight the mechanistic aspects of the neuronal circuit underlying face recognition at both the single‐neuron and whole‐brain network levels. [ABSTRACT FROM AUTHOR]

ABSTRACT The cross‐race recognition deficit (CRD) involves poorer recognition of faces perceived as cross‐race compared to faces perceived as the same race. In this literature, research has examined social and perceptual encoding in the CRD separately. Recent research comparing these strategies shows that encoding faces based on social information (personality traits) enhances face recognition relative to encoding faces based on perceptual information (facial features), with a similar effect for both same‐race and cross‐race faces. Expanding on this research, we conducted three experiments (one pre‐registered), manipulating the perception of face race within participants and using different social and perceptual encoding questions to examine their impacts on the CRD. Results showed that social encoding equally facilitated the recognition of faces perceived as same‐race and cross‐race replicating previous research (Experiment 1). However, perceptual encoding divergently impacted face recognition, improving cross‐race but disrupting same‐race (Experiment 2) or having comparable effects to standard encoding (Experiment 3). We discuss these findings and their implications for existing CRD theories. [ABSTRACT FROM AUTHOR]

Expression transfer is an important task in computer graphics and vision. Existing 3D face models constructed on registered meshes or shapes with corresponding vertices cannot transfer expression over practical data. While recent learning-based works achieved pose transfer between 3D unorganized point clouds, they cannot transfer 3D face expressions well because of weak geometry-perceiving ability and lack of ground truth expression faces for training. To solve the problems, we propose an effective framework that can transfer expressions on non-corresponding and topology-free 3D faces for the first time. The framework includes a novel autoencoder that directly processes unordered point clouds to extract identity and expression features and fuse them to generate desired target faces. Multiple geometry-perception operators are introduced to the autoencoder's encoders to obtain 3D faces' valuable geometry information without repetitive modulations in previous methods. Besides, our decoder utilizes cross-attention's powerful interactive perception capability to fuse extracted features and deform target faces in feature space. To train the autoencoder in a supervised manner, we present a submodule that generates pseudo-ground truth expression faces using pre-trained deep models and their latent operations. The experiments demonstrate the proposed method's outstanding 3D face expression transfer performances. Our code and data are available at https://github.com/SEULSH/Non-corresponding-and-Topology-free-3D-Face-Expression-Transfer. [ABSTRACT FROM AUTHOR]

Objective: To investigate the accuracy of facial emotion recognition in the Iranian community, a face database validated in this community is required. To do this, we conducted a validation study on the Radboud face database. The primary objective of this study was to evaluate the accuracy of recognizing emotions through faces in an Iranian sample and then to choose the pictures with high agreement in terms of detecting emotions. Method: This is a cross sectional study recruiting a total number of 142 males and females aged between 20 and 50 years old (Mean ± SD of age 31.7 ± 7.07). The participants were instructed to detect the type of emotion of each face as well as its valence and arousal. The percentage of participants' agreement on evaluating each picture was assessed. To evaluate the effect of different variables on participants' accuracy, one way and repeated measure ANOVA analyses were also used. Results: Emotional faces were recognized by around 84% of the participants. The highest accuracy belongs to happy (Mean ± SD of 98 ± 6.1%) and the lowest one to neutral (75 ± 18.06%) faces. The accuracy for detecting other emotions were as follows: sad (91 ± 8.7%), surprised (87 ± 10.64%), angry (77 ± 15.6%), and fearful (76 ± 15.26%). Additionally, we found no differences between male and female participants in terms of recognizing emotions. Then we selected the pictures with high agreement (above 85 percent) in labeling emotions among the participants. Conclusion: The current study provided a valid emotional face database based on Iranian participants' responses in terms of recognizing basic emotions. The selected pictures can be used in designing tasks to evaluate emotion recognition ability in clinical and nonclinical populations. It can also be used in designing applications to improve detecting emotion in clinical samples such as individuals with autism spectrum disorder. [ABSTRACT FROM AUTHOR]

Previous studies have found that individuals with high empathy tend to describe ambiguous faces as negative expressions that convey helplessness. However, the cognitive mechanism behind this processing pattern (i.e. whether it is due to interpretation bias or perceptual sensitivity) and whether the pattern is specific to emotions implying helplessness or applicable to all negative emotions are still unclear. The present study aimed to fill these gaps. Fifty-four undergraduates with high empathy and fifty-four with low empathy completed an emotion recognition paradigm. In this paradigm, they were presented with sad–happy and angry–happy expression continua and then were asked to indicate which emotion the presented facial images most resembled. For the sad–happy continuum, the high-empathy group showed higher shift points compared to the low-empathy group, but with comparable slopes. No significant differences were found when using the angry–happy continuum. The findings indicate that the negative facial recognition of high empathizers is attributed to interpretation bias rather than perceptual sensitivity, and this pattern is specific to faces conveying helplessness. This may help to understand the distress in high empathizers and lay the groundwork for alleviating mental and interpersonal problems of high-empathy individuals through interpretation bias intervention. [ABSTRACT FROM AUTHOR]

Machine vision is one of the main applications of artificial intelligence. In China, the machine vision industry makes up more than a third of the national AI market, and technologies like face recognition, object tracking and automated driving play a central role in surveillance systems and social governance projects relying on the large-scale collection and processing of sensor data. Like other novel articulations of technology and society, machine vision is defined, developed and explained by different actors through the work of imagination. In this article, we draw on the concept of sociotechnical imaginaries to understand how Chinese companies represent machine vision. Through a qualitative multimodal analysis of the corporate websites of leading industry players, we identify a cohesive sociotechnical imaginary of machine vision, and explain how four distinct visual registers contribute to its articulation. These four registers, which we call computational abstraction, human–machine coordination, smooth everyday, and dashboard realism, allow Chinese tech companies to articulate their global ambitions and competitiveness through narrow and opaque representations of machine vision technologies. [ABSTRACT FROM AUTHOR]

Video recordings accurately capture facial expression movements; however, they are difficult for face perception researchers to standardise and manipulate. For this reason, dynamic morphs of photographs are often used, despite their lack of naturalistic facial motion. This study aimed to investigate how humans perceive emotions from faces using real videos and two different approaches to artificially generating dynamic expressions – dynamic morphs, and AI-synthesised deepfakes. Our participants perceived dynamic morphed expressions as less intense when compared with videos (all emotions) and deepfakes (fearful, happy, sad). Videos and deepfakes were perceived similarly. Additionally, they perceived morphed happiness and sadness, but not morphed anger or fear, as less genuine than other formats. Our findings support previous research indicating that social responses to morphed emotions are not representative of those to video recordings. The findings also suggest that deepfakes may offer a more suitable standardized stimulus type compared to morphs. Additionally, qualitative data were collected from participants and analysed using ChatGPT, a large language model. ChatGPT successfully identified themes in the data consistent with those identified by an independent human researcher. According to this analysis, our participants perceived dynamic morphs as less natural compared with videos and deepfakes. That participants perceived deepfakes and videos similarly suggests that deepfakes effectively replicate natural facial movements, making them a promising alternative for face perception research. The study contributes to the growing body of research exploring the usefulness of generative artificial intelligence for advancing the study of human perception. [ABSTRACT FROM AUTHOR]

Women remain underrepresented in leadership positions traditionally held by men. Research on role congruity and backlash has shown that aspiring women versus men leaders are more negatively evaluated when they enact agentic behaviors. We examined whether sexually dimorphic facial features, which are associated with agentic and communal trait impressions, constitute a nonverbal barrier to White women's leadership in a college setting. Manipulated masculinized versus feminized facial features elicited, respectively, higher dominance and lower warmth impressions. Aspiring women leaders with masculinized versus feminized facial features received less favorable evaluations for several leadership roles, whereas men's evaluations were unaffected by varying features. Contrasting past work, aspiring women leaders were overall more favorably evaluated. This difference related to beliefs that college-aged White women versus men are more competent, responsible, and warm. These findings provide novel evidence that feminized facial features offer a unique advantage to aspiring college-aged White women leaders. [ABSTRACT FROM AUTHOR]

Driving in urban areas can be challenging and encounter acute stress. To detect driver stress, collecting data on real roads without interfering the driver is preferred. A smartphone-based data collection protocol was developed to support a naturalistic driving study. Sixty-one participants drove on predetermined real road routes, and driving information as well as physiological, psychological, and facial data were collected. The algorithm identified potentially stressful events based on the collected data. Participants classified these events as low, medium, or highly stressful events by watching recorded videos after the experiment. These events were then used to train prediction models. The best model achieved an accuracy of 92.5% in classifying low/medium/highly stressful events. The contribution of physiological, psychological, and facial expression indices and individual profile information was evaluated. The method can be applied to visualise the geographical distribution of stressors, monitor driver behaviour, and help drivers regulate their driving habits. Practitioner Summary: The data collection protocol for driving on real roads and the stressful event identification method could potentially be applied for in-vehicle driver status monitoring and stress intervention. [ABSTRACT FROM AUTHOR]

Human migration is an increasingly common phenomenon and migrants are at risk of disadvantageous treatment. We reasoned that migrants may receive differential treatment by locals based on the closeness of their facial features to the host average. Residents of Türkiye, the country with the largest number of refugees currently, served as participants. Because many of these refugees are of Arabic origin, we created target facial stimuli varying along the axis connecting Turkish and Arabic morphological prototypes (excluding skin colour) computed using geometric morphometrics and available databases. Participants made judgements of two universal dimensions of social perception–warmth and competence–on these faces. We predicted that participants judging faces manipulated towards the Turkish average would provide higher warmth and competence ratings compared to judging the same faces manipulated towards the Arabic average. Bayesian statistical tools were employed to estimate parameter values in multilevel models with intercorrelated varying effects. The findings did not support the prediction and revealed raters (as well as target faces) to be an important source of variation in social judgements. In the absence of simple cues (e.g. skin colour, group labels), the effect of facial morphology on social judgements may be much more complex than previously assumed. [ABSTRACT FROM AUTHOR]

BackgroundObjectiveMethodResultsConclusionThe cerebellum is approximately 10% of the brain volume and is responsible for attention, language, emotion and cognitive functions. Linguistic processing difficulties and cognitive impairments may be observed in individuals with cerebellar lesions depending on the location and severity of the damage. There is no study evaluating language in Turkish-speaking individuals with cerebellar lesions.To determine the differences in linguistic and visuospatial skills of Turkish speaking individuals with cerebellar lesions compared to control groups, including a right hemisphere lesion group and a healthy control group.Fifteen patients with cerebellar lesion (without hemispatial neglect and dysarthria), 15 patients with right hemisphere lesion due to right arter cerebri media (without hemispatial neglect) and 15 healthy control were included. To clarify the language impairment specific to cerebellar lesions, we also included individuals with right hemisphere lesions, which are typically assumed not to present with aphasia. The Language Assessment Test for Aphasia (ADD), Benton Judgment of Line Orientation Test, Benton Facial Recognition Test, Single Letter Deletion Test were used. The “Accident Scene” picture was used for collecting narrative speech samples. After a three group comparison a post-hoc pairwise analysis was performed.Among the microstructural parameters in the narrative language analysis, the effort ratio was significantly higher in the cerebellar lesion group compared to the healthy control group. Among the non-verbal cognitive tests, the Benton Facial Recognition Test score was significantly lower in the cerebellar and right hemisphere lesion group compared to the healthy control group. Total score, naming and grammar scores in the ADD test were significantly lower in the cerebellar lesion group compared with the healthy control group. There was no difference between cerebellar and right hemisphere lesions in terms of ADD score, ADD subtests and narrative parameters.In Turkish-speaking individuals with cerebellar lesions, verbal productivity may be interrupted by effort behaviours, and standard aphasia assessment tests may reveal impaired grammar and naming performance without a diagnosis of aphasia. In addition to reduced efficiency in verbal production, facial recognition may be impaired. We found no difference between individuals with lesions in the cerebellum and right hemisphere. This suggests that ischemic damage may affect different components of language independently of the diagnosis of aphasia. [ABSTRACT FROM AUTHOR]

The ability to recognize emotions in others is crucial for social interaction and develops during childhood. We studied the effects of age on emotional facial recognition in schoolchildren using ERP components. Children aged 6, 8, and 10 completed identity, sex, and emotion recognition (happiness, anger, sadness) tasks. The oldest group had the highest accuracy and fastest reaction times. Only the LPP component showed age-related differences, with lower amplitudes in older children. LPP showed higher amplitude during emotion recognition, which may be associated with motivational evaluation. ERP accounted for the temporal dynamics of facial processing, which involve cognitive and emotional processes. [ABSTRACT FROM AUTHOR]

An important development in the study of face impressions was the introduction of dominance and trustworthiness as the primary and potentially orthogonal traits judged from faces. We test competing predictions of recent accounts that address evidence against the independence of these judgements. To this end we develop a version of recent ‘deep models of face impressions’ better suited for data‐efficient experimental manipulation. In Study 1 (N = 128) we build impression models using 15 times less ratings per dimension than previously assumed necessary. In Study 2 (N = 234) we show how our method can precisely manipulate dominance and trustworthiness impressions of face photographs and observe how the effects' pattern of the cues of one trait on impressions of the other differs from previous accounts. We propose an altered account that stresses how a successful execution of the two judgements' functional roles requires impressions of trustworthiness and dominance to be based on cues of both traits. Finally we show our manipulation resulted in larger effect sizes using a broader array of features than previous methods. Our approach lets researchers manipulate face stimuli for various face perception studies and investigate new dimensions with minimal data collection. [ABSTRACT FROM AUTHOR]

The superior colliculus (SC) has been increasingly implicated in the rapid processing of evolutionarily relevant stimuli like faces, but the behavioural relevance of such processing is unclear. The SC has also been implicated in the generation of express visuomotor responses (EVR), which are very short‐latency (~80 ms) bursts of muscle activity time‐locked to visual target presentation. These observations led us to investigate the influence of faces on EVRs. We recorded upper limb muscle activity from healthy participants as they reached toward targets in the presence of a distractor. In some experiments, faces were used as stimuli. Across blocks of trials, we varied the instruction as to which stimulus served as the target or distractor. Doing so allowed us to assess the impact of instruction on muscle recruitment given identical visual stimuli. We found that responses were uniquely modulated in tasks involving high‐contrast faces, promoting reaches toward or away from a face depending on instruction. Follow‐up experiments confirmed that the phenomenon required highly salient repeated faces and was not observed to non‐facial stimuli nor to faces expressing different affects. This study extends the hypothesis that the SC mediates the EVR by demonstrating that faces impact muscle recruitment at short latencies that precede cortical activity for face perception. Our results constitute direct evidence for the behavioural relevance of face detection in the brainstem, and also implicate a role for top‐down cortical pre‐setting of the EVR depending on task context. [ABSTRACT FROM AUTHOR]

Despite major breakthroughs in facial recognition technology, problems with bias and a lack of diversity still plague face recognition systems today. To address these issues, we created synthetic face data using a diffusion-based generative model and fine-tuned already-high-performing models. To achieve a more balanced overall performance across various races, the synthetic dataset was created by following the dual-condition face generator (DCFace) resolution and using race-varied data from BUPT-BalancedFace as well as FairFace. To verify the proposed method, we fine-tuned a pre-trained improved residual networks (IResnet)-100 model with additive angular margin (ArcFace) loss using the synthetic dataset. The results show that the racial gap in performance is reduced from 0.0107 to 0.0098 in standard deviation terms, while the overall accuracy increases from 96.125% to 96.1625%. The improved racial balance and diversity in the synthetic dataset led to an improvement in model fairness, demonstrating that this resource could facilitate more equitable face recognition systems. This method provides a low-cost way to address data diversity challenges and help make face recognition more accurate across different demographic groups. The results of the study highlighted that more advanced synthesized datasets, created through diffusion-based models, can also result in increased facial recognition accuracy with greater fairness, emphasizing that these should not be ignored by developers aiming to create artificial intelligence (AI) systems. [ABSTRACT FROM AUTHOR]

Traditional artificial vision systems built using separate sensing, computing, and storage units have problems with high power consumption and latency caused by frequent data transmission between functional units. An effective approach is to transfer some memory and computing tasks to the sensor, enabling the simultaneous perception‐storage‐processing of light signals. Here, an optical–electrical coordinately modulated memristor is proposed, which controls the conductivity by means of polarization of the 2D ferroelectric Ruddlesden–Popper perovskite film at room temperature. The residual polarization shows no significant decay after 109‐cycle polarization reversals, indicating that the device has high durability. By adjusting the pulse parameters, the device can simulate the bio‐synaptic long/short‐term plasticity, which enables the control of conductivity with a high linearity of ≈0.997. Based on the device, a two‐layer feedforward neural network is built to recognize handwritten digits, and the recognition accuracy is as high as 97.150%. Meanwhile, building optical–electrical reserve pool system can improve 14.550% for face recognition accuracy, further demonstrating its potential for the field of neural morphological visual systems, with high density and low energy loss. [ABSTRACT FROM AUTHOR]

A large number of images are available on the Internet with the growth of social networking services, and many of them are face photos or contain faces. It is necessary to protect the privacy of face images to prevent their malicious use by face image de-identification techniques that make face recognition difficult, which prevent the collection of specific face images using face recognition. In this paper, we propose a face image de-identification method that generates a de-identified image from an input face image by embedding facial features extracted from that of another person into the input face image. We develop the novel framework for embedding facial features into a face image and loss functions based on images and features to de-identify a face image preserving its appearance. Through a set of experiments using public face image datasets, we demonstrate that the proposed method exhibits higher de-identification performance against unknown face recognition models than conventional methods while preserving the appearance of the input face images. [ABSTRACT FROM AUTHOR]

Artificial intelligence can now synthesise face images which people cannot distinguish from real faces. Here, we investigated the wisdom of the (outer) crowd (averaging individuals' responses to the same trial) and inner crowd (averaging the same individual's responses to the same trial after completing the test twice) as routes to increased performance. In Experiment 1, participants viewed synthetic and real faces, and rated whether they thought each face was synthetic or real using a 1–7 scale. Each participant completed the task twice. Inner crowds showed little benefit over individual responses, and we found no associations between performance and personality factors. However, we found increases in performance with increasing sizes of outer crowd. In Experiment 2, participants judged each face only once, providing a binary 'synthetic/real' response, along with a confidence rating and an estimate of the percentage of other participants that they thought agreed with their answer. We compared three methods of aggregation for outer crowd decisions, finding that the majority vote provided the best performance for small crowds. However, the 'surprisingly popular' solution outperformed the majority vote and the confidence‐weighted approach for larger crowds. Taken together, we demonstrate the use of outer crowds as a robust method of improvement during synthetic face detection, comparable with previous approaches based on training interventions. [ABSTRACT FROM AUTHOR]

Purpose: Developmental language disorder (DLD) and autism sometimes appear as overlapping conditions in behavioral tests. There is much literature on the visual scanning pattern (VSP) of faces in autistic children, but this is scarce regarding those with DLD. The purpose of this study was to compare the VSP of faces in young children with DLD, those with autism, and typically developing peers, assessing the effect of three variables. Method: Two eye-tracking experiments were designed to assess the effect of the emotion and the poser's gender (Experiment 1) and the poser's age (Experiment 2) on the VSP of participants (Experiment 1: N = 59, age range: 32-74 months; Experiment 2: N = 58, age range: 32-74 months). We operationalized the VSP in terms of attentional orientation, visual preference, and depth of processing of each sort of face. We developed two paired preference tasks in which pairs of images of faces showing different emotions were displayed simultaneously to compete for children's attention. Results: Data analysis revealed two VSP markers common to both disorders: (a) superficial processing of faces and (b) late orientation to angry and child faces. Moreover, one specific marker for each condition was also found: typical preference for child faces in children with DLD versus diminished preference for them in autistic children. Conclusions: Considering the similarities found between children with DLD and those with autism, difficulties of children with DLD in attention to faces have been systematically underestimated. Thus, more effort must be made to identify and respond to the needs of this population. Clinical practice may benefit from the potential of eye-tracking methodology and the analysis of the VSP to assess attention to faces in both conditions. This would also contribute to the improvement of early differential diagnosis in the long run. [ABSTRACT FROM AUTHOR]

Face morphing attacks disrupt the essential correlation between a face image and its identity information, posing a significant challenge to face recognition systems. Despite advancements in face morphing attack detection methods, these techniques cannot reconstruct the face images of accomplices. Existing deep learning-based face de-morphing techniques have mainly focused on identity disentanglement, overlooking the morphing factors inherent in the morphed images. This paper introduces a novel face de-morphing method to restore the identity information of accomplices by predicting the corresponding de-morphing factor. To obtain reasonable de-morphing factors, a channel-wise attention mechanism is employed to perform feature interaction, and the correlation between the morphed image and the real-time captured reference image is integrated to promote the prediction of the de-morphing factor. Furthermore, the identity information of the accomplice is restored by mapping the morphed and reference images into the StyleGAN latent space and performing inverse linear interpolation using the predicted de-morphing factor. Experimental results demonstrate the superiority of this method in restoring accomplice facial images, achieving improved restoration accuracy and image quality compared to existing techniques. [ABSTRACT FROM AUTHOR]

Background: Previous studies that have assessed social cognition in Attention‐Deficit/Hyperactivity Disorder (ADHD) have produced inconsistent findings. To summarize these data and shed light upon moderators that may explain observed inconsistencies, we conducted a systematic review and meta‐analysis exploring social cognition (Theory of Mind (ToM), Empathy, Facial and Non‐Facial Emotion Recognition) and Everyday Social Skills in children and adolescents with ADHD. Methods: The current meta‐analysis involved 142 studies including 652 effect sizes. These studies compared children and adolescents with ADHD (n = 8,300) and with typical development (n = 7,983). Results: Participants with ADHD exhibited moderate to very large deficits in ToM (SMD = 0.84, 95% CI = 0.68–0.99), Facial Emotion Recognition (SMD = 0.63, 95% CI = 0.46–0.81), and Everyday Social Skills (SMD = 1.23, 95% CI = 1.08–1.37). The magnitude of these impairments was similar when considering effect sizes adjusted for some covariates and the methodological quality of the studies. Few studies have investigated Empathy and Non‐Facial Emotion Recognition, which precludes definitive conclusions. Conclusions: Children and adolescents with ADHD experience robust impairments in ToM, Facial Emotion Recognition and Everyday Social Skills. Future studies should explore whether these deficits are a consequence of difficulties in other areas of cognition (e.g., executive functioning). We have made all our raw data open access to facilitate the use of the present work by the community (e.g., clinicians looking for tools, assessing social impairments, or researchers designing new studies). [ABSTRACT FROM AUTHOR]

Face culture is a crucial facet of East Asia. The most common self‐report measure for face concern is the unidimensional Loss of Face Scale. In this study, we examined the dimensionality, factor structure, and validity of the Loss of Face Scale in two samples. Sample 1 (N = 602) consisted of 303 Taiwanese mothers and 299 U.S. mothers. Sample 2 (N = 602) was an independent sample from Sample 1, consisting of 294 Taiwanese mothers and 308 U.S. mothers. We proposed a modified 15‐item four‐dimensional factor structure to better capture the complexity of face. Four sub‐domains emerged from the results of exploratory structural equation modelling: Low‐Profile, Over‐Preparation, Harmony Seeking, and Non‐Aggression. Multigroup confirmatory factor analysis indicated configural and metric invariance but failed to establish full scalar invariance across countries. Convergent validity was supported by positive correlations with other Asian cultural values. While all four domains of face showed small to moderate correlations with depression in the U.S., only Low‐Profile was associated with depression in Taiwan, suggesting that not all aspects of face concern are non‐adaptive in East Asian contexts. Future studies should consider the multidimensional nature of face as well as how different dimensions affect mental and social well‐being across cultures. [ABSTRACT FROM AUTHOR]

Williams-Beuren syndrome (WBS) is a rare genetic disorder characterized by special facial gestalt, delayed development, and supravalvular aortic stenosis or/and stenosis of the branches of the pulmonary artery. We aim to develop and optimize accurate models of facial recognition to assist in the diagnosis of WBS, and to evaluate their effectiveness by using both five-fold cross-validation and an external test set. We used a total of 954 images from 135 patients with WBS, 124 patients suffering from other genetic disorders, and 183 healthy children. The training set comprised 852 images of 104 WBS cases, 91 cases of other genetic disorders, and 145 healthy children from September 2017 to December 2021 at the Guangdong Provincial People's Hospital. We constructed six binary classification models of facial recognition for WBS by using EfficientNet-b3, ResNet-50, VGG-16, VGG-16BN, VGG-19, and VGG-19BN. Transfer learning was used to pre-train the models, and each model was modified with a variable cosine learning rate. Each model was first evaluated by using five-fold cross-validation and then assessed on the external test set. The latter contained 102 images of 31 children suffering from WBS, 33 children with other genetic disorders, and 38 healthy children. To compare the capabilities of these models of recognition with those of human experts in terms of identifying cases of WBS, we recruited two pediatricians, a pediatric cardiologist, and a pediatric geneticist to identify the WBS patients based solely on their facial images. We constructed six models of facial recognition for diagnosing WBS using EfficientNet-b3, ResNet-50, VGG-16, VGG-16BN, VGG-19, and VGG-19BN. The model based on VGG-19BN achieved the best performance in terms of five-fold cross-validation, with an accuracy of 93.74% ± 3.18%, precision of 94.93% ± 4.53%, specificity of 96.10% ± 4.30%, and F1 score of 91.65% ± 4.28%, while the VGG-16BN model achieved the highest recall value of 91.63% ± 5.96%. The VGG-19BN model also achieved the best performance on the external test set, with an accuracy of 95.10%, precision of 100%, recall of 83.87%, specificity of 93.42%, and F1 score of 91.23%. The best performance by human experts on the external test set yielded values of accuracy, precision, recall, specificity, and F1 scores of 77.45%, 60.53%, 77.42%, 83.10%, and 66.67%, respectively. The F1 score of each human expert was lower than those of the EfficientNet-b3 (84.21%), ResNet-50 (74.51%), VGG-16 (85.71%), VGG-16BN (85.71%), VGG-19 (83.02%), and VGG-19BN (91.23%) models. Conclusion: The results showed that facial recognition technology can be used to accurately diagnose patients with WBS. Facial recognition models based on VGG-19BN can play a crucial role in its clinical diagnosis. Their performance can be improved by expanding the size of the training dataset, optimizing the CNN architectures applied, and modifying them with a variable cosine learning rate. What Is Known: • The facial gestalt of WBS, often described as "elfin," includes a broad forehead, periorbital puffiness, a flat nasal bridge, full cheeks, and a small chin. • Recent studies have demonstrated the potential of deep convolutional neural networks for facial recognition as a diagnostic tool for WBS. What Is New: • This study develops six models of facial recognition, EfficientNet-b3, ResNet-50, VGG-16, VGG-16BN, VGG-19, and VGG-19BN, to improve WBS diagnosis. • The VGG-19BN model achieved the best performance, with an accuracy of 95.10% and specificity of 93.42%. The facial recognition model based on VGG-19BN can play a crucial role in the clinical diagnosis of WBS. [ABSTRACT FROM AUTHOR]

Facial recognition is a challenging pattern recognition problem in computer vision. This paper proposes a face recognition system that uses Empirical Mode Decomposition (EMD) and Local Binary Pattern (LBP) based feature extraction for a robust face recognition system. This scheme initially decomposes the image into 2N number of IMF (Intrinsic Mode Function) images, where N numbers of IMF images are estimated in the X direction and N number of IMF images are estimated in the Y direction. From the 2N number of IMFs, the M number of best matching IMF image pairs is estimated using 2D Discrete Fourier Transform (DFT). The IMF pair is added to extract the IC-LBP (Intensity Compensated-Local Binary Pattern) features. The IC-LBP features are extracted from the IMF images such that the center intensity is adjusted based on an adaptive intensity threshold. The use of EMD and IC-LBP features uses the essential descriptors that best represent a facial image. The same process is repeated in the testing phase where the test image is categorized from the trained images using the Naïve Bayes algorithm. The performance evaluation was done using the Yale, MORPH, and FGNET using metrics such as time complexity and recognition rate on different types of test face images like partial faces, different lightning, and rotation. Results show that the proposed face recognition system outperforms the traditional algorithms. Results show that the proposed face recognition system outperforms the traditional algorithms. [ABSTRACT FROM AUTHOR]

The human brain is fundamentally a social brain, with its perceptual and cognitive systems evolved to support a diverse set of processes aimed at enabling our complex social function. And while in the last decades the field has advanced considerably in understanding the mechanisms by which the perceptual and cognitive faculties support human social behaviour, there remains a lack of knowledge about how social information is communicated between individuals. In my work, I have studied nonverbal visual social signalling via faces and eyes. In this article, I summarize the results from three lines of my research which show that (a) limiting face visibility decreases its social value, (b) eyes transmit key social messages, and (c) group size modulates social messages. Together, these data show that visual signals from faces and eyes convey complex social messages and represent an important vehicle for the communication of social information. [ABSTRACT FROM AUTHOR]

Preferences for sexual dimorphism in male and female faces can vary based on the viewers' gender, sexual orientation, and intensity of sexual desire. Asexual individuals, who experience little to no sexual attraction, may display different preferences for sexual dimorphism than has been observed in allosexual samples. Researchers have hypothesised that gender conformity may likewise impact preferences for sexual dimorphism. Participants (N = 182) recruited from an online asexual community provided demographic information and responded to measures of romantic attraction, sexual attraction, and conformity with male and female gender norms before they indicated their preference for male and female faces that were digitally altered to be more or less sexually dimorphic. Regardless of gender, asexual participants displayed a high preference for femininity in male and female faces. Preferences for sexual dimorphism displayed complex, and inconsistent associations with reported romantic and sexual attraction, and with conformity to feminine gender norms. This is the first report of preferences for facial sexual dimorphism and assessment of the role of gender conformity in an asexual population. This research adds to our understanding of the role of sexual attraction in predicting preferences for sexual dimorphism in faces. [ABSTRACT FROM AUTHOR]

A variety of evidence shows that social categorization of people based on their race can lead to stereotypical judgements and prejudicial behaviour. Here, we explore the extent to which trait judgements of faces are influenced by race. To address this issue, we measured the reliability of first impressions for own-race and other-race faces in Asian and White participants. Participants viewed pairs of faces and were asked to indicate which of the two faces was more dominant or which of the two faces was more trustworthy. We measured the consistency (or reliability) of these judgements across participants for own-race and other-races faces. We found that judgements of dominance or trustworthiness showed similar levels of reliability for own-race and other-race faces. Moreover, an item analysis showed that the judgements on individual trials were very similar across participants from different races. Next, participants made overall ratings of dominance and trustworthiness from own-race and other-race faces. Again, we found that there was no evidence for an ORE. Together, these results provide a new approach to measuring trait judgements of faces and show that in these conditions there is no ORE for the perception of dominance and trustworthiness. [ABSTRACT FROM AUTHOR]

Speed of visual object recognition is facilitated after active manual exploration of objects relative to passive visual processing alone. Manual exploration allows viewers to select important information about object structure that may facilitate recognition. Viewpoints where the objects' axis of elongation is perpendicular or parallel to the line of sight are selected more during exploration, recognized faster than other viewpoints, and afford the most information about structure when object movement is controlled by the viewer. Prior work used virtual object exploration in active and passive viewing conditions, limiting multisensory structural object information. Adding multisensory information to encoding may change accuracy of overall recognition, viewpoint selection, and viewpoint recognition. We tested whether the known active advantage for object recognition would change when real objects were studied, affording visual and haptic information. Participants interacted with 3D novel objects during manual exploration or passive viewing of another's object interactions. Object recognition was tested using several viewpoints of rendered objects. We found that manually explored objects were recognized more accurately than objects studied through passive exploration and that recognition of viewpoints differed from previous work. [ABSTRACT FROM AUTHOR]

Perceiving facial attractiveness is an important behaviour across psychological science due to these judgments having real-world consequences. However, there is little consensus on the measurement of this behaviour, and practices differ widely. Research typically asks participants to provide ratings of attractiveness across a multitude of different response scales, with little consideration of the psychometric properties of these scales. Here, we make psychometric comparisons across nine different response scales. Specifically, we analysed the psychometric properties of a binary response, a 0–100 scale, a visual analogue scale, and a set of Likert scales (1–3, 1–5, 1–7, 1–8, 1–9, 1–10) as tools to measure attractiveness, calculating a range of commonly used statistics for each. While certain properties suggested researchers might choose to favour the 1–5, 1–7 and 1–8 scales, we generally found little evidence of an advantage for one scale over any other. Taken together, our investigation provides consideration of currently used techniques for measuring facial attractiveness and makes recommendations for researchers in this field. [ABSTRACT FROM AUTHOR]

The aim of the current study was to examine facial and body posture emotion recognition among deaf and hard-of-hearing (DHH) and hearing young adults. Participants were (N = 126) DHH (n = 48) and hearing (n = 78) college students who completed two emotion recognition tasks in which they were shown photographs of faces and body postures displaying different emotions of both high and low intensities and had to infer the emotion being displayed. Compared to hearing participants, DHH participants performed worse on the body postures emotion task for both high and low intensities. They also performed more poorly on the facial emotion task, but only for low-intensity emotional facial expressions. On both tasks, DHH participants whose primary mode of communication was Signed English performed significantly more poorly than those whose primary mode was American Sign Language (ASL) or spoken English. Moreover, DHH participants who communicated using ASL performed similarly to hearing participants. This suggests that difficulties in affect recognition among DHH individuals occur when processing both facial and body postures that are more subtle and reflective of real-life displays of emotion. Importantly, this also suggests that ASL as a primary form of communication in this population may serve as a protective factor against emotion recognition difficulties, which could, in part, be due to the complex nature of this language and its requirement to perceive meaning through facial and postural expressions with a wide visual lens. [ABSTRACT FROM AUTHOR]

Introduction: Patients with chronic headaches and chronic oro‐facial pain commonly present psychosocial issues that can affect social interactions. A possible reason could be that patients with these disorders might present impairments in facial recognition, laterality judgement and also alexithymia. However, a systematic review summarizing the effects of facial emotion recognition, laterality judgement and alexithymia in individuals with headaches and oro‐facial pain is still not available. Aim: The main objective of this systematic review (SR) and meta‐analysis (MA) was to compile and synthesize the evidence on the occurrence of alexithymia, deficits in laterality or left–right (LR) recognition and/or facial emotion recognition (FER) in patients with chronic headache and facial pain. Methods: Electronic searches were conducted in five databases (up to September 2023) and a manual search to identify relevant studies. The outcomes of interest were alexithymia scores, speed and accuracy in LR and/or FER, or any other quantitative data assessing body image distortions. The screening process, data extraction, risk of bias and data analysis were performed by two independent assessors following standards for systematic reviews. Results: From 1395 manuscripts found, only 34 studies met the criteria. The overall quality/certainty of the evidence was very low. Although the results should be interpreted carefully, individuals with chronic headaches showed significantly higher levels of alexithymia when compared to healthy individuals. No conclusive results were found for the other variables of interest. Conclusion: Although the overall evidence from this review is very low, people with chronic primary headaches and oro‐facial pain could be regularly screened for alexithymia to guarantee appropriate management. [ABSTRACT FROM AUTHOR]