Social threat processing in adults and children: Faster orienting to, but shorter dwell time on, angry faces during visual search.

Attention to emotional signals conveyed by others is critical for gleaning information about potential social partners and the larger social context. Children appear to detect social threats (e.g., angry faces) faster than non-threatening social signals (e.g., neutral faces). However, methods that rely on behavioral responses alone are limited in identifying different attentional processes involved in threat detection or responding. To address this question, we used a visual search paradigm to assess behavioral (i.e., reaction time to select a target image) and attentional (i.e., eye-tracking fixations, saccadic shifts, and dwell time) responses in children (ages 7-10 years old, N = 42) and adults (ages 18-23 years old, N = 46). In doing so, we compared behavioral responding and attentional detection and engagement with threatening (i.e., angry and fearful faces) and non-threatening (i.e., happy faces) social signals. Overall, children and adults were faster to detect social threats (i.e., angry faces), but spent a smaller proportion of time dwelling on them and had slower behavioral responses. Findings underscore the importance of combining different measures to parse differences between processing versus responding to social signals across development. RESEARCH HIGHLIGHTS: Children and adults are slower to select angry faces when measured by time to mouse-click but faster to detect angry faces when measured by time to first eye fixation. The use of eye-tracking addresses some limitations of prior visual search tasks with children that rely on behavioral responses alone. Results suggest shorter time to first fixation, but subsequently, shorter duration of dwell on social threat in children and adults.

Callous-unemotional Traits and Emotion Recognition Difficulties: Do Stimulus Characteristics Play a role?

Emotion recognition difficulties are linked to callous-unemotional (CU) traits, which predict risk for severe antisocial behavior. However, few studies have investigated how stimulus characteristics influence emotion recognition performance, which could give insight into the mechanisms underpinning CU traits. To address this knowledge gap, children aged 7-10 years old (N = 45; 53% female, 47% male; 46.3% Black/African-American, 25.9% White, 16.7% Mixed race or Other, 9.3% Asian) completed an emotion recognition task featuring static facial stimuli from child and adult models and facial and full-body dynamic stimuli from adult models. Parents reported on CU traits of children in the sample. Children showed better emotion recognition for dynamic than static faces. Higher CU traits were associated with worse emotion recognition, particularly for sad and neutral expressions. Stimulus characteristics did not impact associations between CU traits and emotion recognition.

Effects of a Service-Learning Neuroscience Course on Mood and Intergroup Anxiety.

"Everyday Neuroscience" is an academically based community service (ABCS) course in which college students teach basic neuroscience lab activities to high school students in an under-funded school district, working in small groups on hands-on science activities for 10 weekly sessions. The present study examined the possible psychological and social effects of this experience on the college students, in comparison with peers not enrolled in such a course, by observing and surveying the high school and college students across the 10-week course period. First, the teaching-learning sessions in the course successfully promoted science-focused discussion between the high school and college students for 45 to 60 minutes each week. Second, college students in "Everyday Neuroscience" reported higher positive affect and less intergroup anxiety at the end of the semester compared with the control group of college students who were not in the course. Finally, surveys of the high school students revealed that they found the sessions to be positive social experiences. These findings reveal that a neuroscience-based community engagement course can be both a positive experience for the community partner and a benefit for college students by promoting psychological and social wellness.

Are you laughing with me or at me? Psychopathic traits and the ability to distinguish between affiliation and dominance laughter cues.

OBJECTIVE: Laughter conveys important information that supports social communication and bonding. Research suggests that unique acoustic properties distinguish laughter that promotes affiliation from laughter that conveys dominance, but little is known about potential individual differences in laughter interpretation or contagion based on these specified social functions of laughter. Psychopathy is associated with both affiliative deficits (e.g., lack of empathy and impaired social bonding) and behaviors that assert social dominance (e.g., manipulativeness). Thus, relationships between psychopathic traits and impaired laughter interpretation or contagion could give insight into etiological pathways to psychopathy. METHOD: In two studies conducted with four independent samples (total N = 770), participants categorized laughter clips that varied in the degree of affiliation or dominance conveyed. RESULTS: Participants overall drew rich and accurate social inferences from dominant and affiliative laughter and modulated their interest in joining in with laughter based on the type and degree of affiliation and dominance conveyed. However, individuals higher in psychopathic traits failed to distinguish between laughter types and did not modulate their level of engagement based on laughter features. CONCLUSIONS: The results suggest a potential mechanism that underlies the broader social difficulties associated with psychopathic traits.

Probability Learning: Changes in Behavior Across Time and Development.

Individuals track probabilities, such as associations between events in their environments, but less is known about the degree to which experience-within a learning session and over development-influences people's use of incoming probabilistic information to guide behavior in real time. In two experiments, children (4-11 years) and adults searched for rewards hidden in locations with predetermined probabilities. In Experiment 1, children (n = 42) and adults (n = 32) changed strategies to maximize reward receipt over time. However, adults demonstrated greater strategy change efficiency. Making the predetermined probabilities more difficult to learn (Experiment 2) delayed effective strategy change for children (n = 39) and adults (n = 33). Taken together, these data characterize how children and adults alike react flexibly and change behavior according to incoming information.

Children's knowledge and feelings align in response to emotional music.

Examining emotion recognition and response to music can isolate recognition of and resonance with emotion from the confounding effects of other social cues (e.g., faces). In a within-sample design, participants aged 5-6 years in the eastern region of the United States (N = 135, Mage = 5.98, SDage = .54; 78 female, 56 male; eight Asian, 43 Black, 62 White, 13 biracial, and nine "other") listened to clips of calm, scary, and sad music. In separate sessions, participants identified the emotional content of the music or reported on the feelings elicited by the music clip, with above-chance accuracy. Emotion recognition was associated with age and higher levels of child emotional verbal expressivity. Children with higher parent-reported empathy reported greater resonance with the emotion conveyed by music, specifically for sad music. Recognition and resonance were correlated (i.e., alignment), although the relationship varied as a function of the emotion expressed, with the greatest alignment for sad music. Results provide insights into emotion recognition and resonance in the absence of direct social signals and provide evidence that children's ability to recognize and resonate with emotion differs depending on characteristics of the music and the child. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Childhood conduct problems and parent-child talk during social and nonsocial play contexts: a naturalistic home-based experiment.

Parent-child interactions are a critical pathway to emotion socialization, with disruption to these processes associated with risk for childhood behavior problems. Using computational linguistics methods, we tested whether (1) play context influenced parent-child socioemotional language, and (2) child conduct problems or callous-unemotional traits were associated with patterns of socioemotional or nonsocial language across contexts. Seventy-nine parent-child dyads (children, 5-6 years old) played a socioemotional skills ("social context") or math ("nonsocial context") game at home. We transcribed and analyzed game play, which had been audio recorded by participants. The social context elicited more socioemotional and cognitive words, while the nonsocial context elicited more mathematical words. The use of socioemotional language by parents and children was more strongly correlated in the social context, but context did not moderate the degree of correlation in cognitive or mathematical word use between parents and children. Children with more conduct problems used fewer socioemotional words in the social context, while children with higher callous-unemotional traits used fewer cognitive words in both contexts. We highlight the role of context in supporting socioemotionally rich parent-child language interactions and provide preliminary evidence for the existence of linguistic markers of child behavior problems. Our results also inform naturalistic assessments of parent-child interactions and home-based interventions for parents and children facing socioemotional or behavioral challenges.

When uncertainty in social contexts increases exploration and decreases obtained rewards.

Similar decision-making situations often arise repeatedly, presenting tradeoffs between (i) acquiring new information to facilitate future-related decisions (exploration) and (ii) using existing information to secure expected outcomes (exploitation). Exploration choices have been well characterized in nonsocial contexts, however, choices to explore (or not) in social environments are less well understood. Social environments are of particular interest because a key factor that increases exploration in nonsocial contexts is environmental uncertainty, and the social world is generally appreciated to be highly uncertain. Although uncertainty sometimes must be reduced behaviorally (e.g., by trying something and seeing what happens), other times it may be reduced cognitively (e.g., by imagining possible outcomes). Across four experiments, participants searched for rewards in a series of grids that were either described as comprising real people distributing previously earned points (social context) or as the result of a computer algorithm or natural phenomenon (nonsocial context). In Experiments 1 and 2, participants explored more, and earned fewer rewards, in the social versus nonsocial context, suggesting that social uncertainty prompted behavioral exploration at the cost of task-relevant goals. In Experiments 3 and 4, we provided additional information about the people in the search space that could support social-cognitive approaches to uncertainty reduction, including relationships of the social agents distributing points (Experiment 3) and information relevant to social group membership (Experiment 4); exploration decreased in both instances. Taken together, these experiments highlight the approaches to, and tradeoffs of, uncertainty reduction in social contexts. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Category Flexibility in Emotion Learning.

Learners flexibly update category boundaries to adjust to the range of experiences they encounter. However, little is known about whether the degree of flexibility is consistent across domains. We examined whether categorization of social input, specifically emotions, is afforded more flexibility as compared to other biological input. To address this question, children (6-12 years; 32 female, 37 male; 7 Hispanic or Latino, 62 not Hispanic or Latino; 8 Black or African American, 14 multiracial, 46 White, 1 selected "other") categorized faces morphed from calm to upset and animals morphed from a horse to a cow across task phases that differed in the distribution of stimuli presented. Learners flexibly adjusted both emotion and animal category boundaries according to distributional information, yet children showed more flexibility when updating their category boundaries for emotions. These results provide support for the idea that children-who must adjust to the vast and varied emotional signals of their social partners-respond to social signals dynamically in order to make predictions about the internal states and future behaviors of others.

Neural systems underlying motivated behavior in adolescence: implications for preventive medicine.

OBJECTIVE: Although a time of increased independence and autonomy, adolescence is also a time of vulnerabilities, through increased risk-taking and the emergence of psychopathology. Neurodevelopmental changes during this period may provide a neurobiological basis for this normative rise in deleterious behaviors. Thus, the objective of this review was to identify neurodevelopmental processes underlying the emergence of risk-taking and psychopathology in adolescence, and discuss implications of these findings for prevention. METHOD: This article reviews literature examining developmental and contextual factors influencing neural functioning in systems mediating threat, reward, and cognitive control. This literature is discussed from the perspective of the Triadic Neural Systems Model of motivated behavior. RESULTS: Neuroimaging research suggests that neurodevelopmental and contextual factors both contribute to a shift in the functional equilibrium among the Triadic nodes. This equilibrium shift may contribute to negative outcomes of adolescent risk behavior. Most importantly, the balance of this equilibrium and its sensitivity to social and appetitive contexts may be exploited to facilitate prevention of deleterious outcomes. CONCLUSION: Understanding developmental and contextual factors that influence functioning in motivational neural circuits can inform research on adolescent risk-taking, and may provide targets for novel preventions, for example through the use of incentives to reduce deleterious outcomes.

Emotional Faces Facilitate Statistical Learning.

Detecting regularities and extracting patterns is a vital skill to organize complex information in our environments. Statistical learning, a process where we detect regularities by attending to relationships between cues in our environment, contributes to knowledge acquisition across myriad domains. However, less is known about how emotional cues-specifically facial configurations of emotion-influence statistical learning. Here, we tested two pre-registered aims to advance knowledge about emotional signals and statistical learning: (1) we examined statistical learning in the context of emotional compared to non-emotional information, and (2) we assessed how emotional congruency (i.e., whether facial stimuli conveyed the same, or different emotions) influenced regularity extraction. We demonstrated statistical learning in the context of emotional signals. Further, we showed that statistical learning occurs more efficiently in the context of emotional faces. We also established that congruent cues benefited an online measure of statistical learning, but had varied effects when statistical learning was assessed via post-exposure recognition test. The results shed light on how affective signals influence well-studied cognitive skills and address a knowledge gap about how cue congruency impacts statistical learning, including how emotional cues might guide predictions in our social world. Supplementary Information: The online version contains supplementary material available at 10.1007/s42761-022-00130-9.

Children track probabilistic distributions of facial cues across individuals.

Children face a difficult task in learning how to reason about other people's emotions. How intensely facial configurations are displayed can vary not only according to what and how much emotion people are experiencing, but also across individuals based on differences in personality, gender, and culture. To navigate these sources of variability, children may use statistical information about other's facial cues to make interpretations about perceived emotions in others. We examined this possibility by testing children's ability to adjust to differences in the intensity of facial cues across different individuals. In the present study, children (6- to 10-year-olds) categorized the information communicated by facial configurations of emotion varying continuously from "calm" to "upset," with differences in the intensity of each actor's facial movements. We found that children's threshold for categorizing a facial configuration as "upset" shifted depending on the statistical information encountered about each of the different individuals. These results suggest that children are able to track individual differences in facial behavior and use these differences to flexibly update their interpretations of facial cues associated with emotion. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Training reduces error in rating the intensity of emotions.

The ability to recognize how another is feeling is a critical skill, with profound implications for social adaptation. Training programs designed to improve social functioning typically attempt to direct attention toward or away from certain facial configurations, or to improve discrimination between emotions by categorizing faces. However, emotion recognition involves processes in addition to attentional orienting or categorical labeling. The intensity with which someone is experiencing an emotion is also influential; knowing whether someone is annoyed or enraged will guide an observer's response. Here, we systematically examined a novel paradigm designed to improve ratings of facial information communicating emotion intensity in a sample of 492 participants across a series of 8 studies. In Study 1, participants improved precision in recognizing the intensity of facial cues through personalized corrective feedback. These initial findings were replicated in a randomized-control trial comparing training with feedback to viewing and rating faces without feedback. Studies 2 and 3 revealed that these effects generalize to identities and facial configurations not included in the training. Study 4 indicated that the effects were sustained beyond the training session. These findings suggest that individualized, corrective feedback is effective for reducing error in rating the intensity of facial cues. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

The COVID-19 pandemic, mask-wearing, and emotion recognition during late-childhood.

Face masks are an effective and important tool to prevent the spread of COVID-19, including among children. However, occluding parts of the face can impact emotion recognition, which is fundamental to effective social interactions. Social distancing, stress, and changes to routines because of the pandemic have also altered the social landscape of children, with implications for social development. To better understand how social input and context impact emotion recognition, the current study investigated emotion recognition in children (7-12 years old, N = 131) using images of both masked and unmasked emotional faces. We also assessed a subsample of participants ("pre-pandemic subsample," n = 35) who had completed the same emotion recognition task with unmasked faces before and during the pandemic. Masking of faces was related to worse emotion recognition, with more pronounced effects for happy, sad, and fearful faces than angry and neutral faces. Masking was more strongly related to emotion recognition among children whose families reported greater social disruption in response to the pandemic. Finally, in the pre-pandemic subsample, emotion recognition of sad faces was lower during versus before the pandemic relative to other emotions. Together, findings show that occluding face parts and the broader social context (i.e., global pandemic) both impact emotion-relevant judgments in school-aged children.

Anticipating Greater Impact of the COVID-19 Pandemic on Social Life Is Associated With Reduced Adherence to Disease-Mitigating Guidelines.

People regularly make decisions about how often and with whom to interact. During an epidemic of communicable disease, these decisions gain new weight, as individual choices exert more direct influence on collective health and wellbeing. While much attention has been paid to how people's concerns about the health impact of the COVID-19 pandemic affect their engagement in behaviors that could curb (or accelerate) the spread of the disease, less is understood about how people's concerns about the pandemic's impact on their social lives affect these outcomes. Across three studies (total N = 654), we find that individuals' estimates of the pandemic's social (vs. health) impact are associated with an unwillingness to curtail social interaction and follow other Centers for Disease Control guidelines as the pandemic spreads. First, these associations are present in self-report data of participants' own behaviors and behavior across hypothetical scenarios; second, participants' estimates of the pandemic's impact on social life in their location of residence are associated with movement data collected unobtrusively from mobile phones in those locations. We suggest that perceptions of social impact could be a potential mechanism underlying, and therefore potential intervention target for addressing, disease-preventing behavior during a pandemic.

Categorization of Vocal Emotion Cues Depends on Distributions of Input.

Learners use the distributional properties of stimuli to identify environmentally relevant categories in a range of perceptual domains, including words, shapes, faces, and colors. We examined whether similar processes may also operate on affective information conveyed through the voice. In Experiment 1, we tested how adults (18-22-year-olds) and children (8-10-year-olds) categorized affective states communicated by vocalizations varying continuously from "calm" to "upset." We found that the threshold for categorizing both verbal (i.e., spoken word) and nonverbal (i.e., a yell) vocalizations as "upset" depended on the statistical distribution of the stimuli participants encountered. In Experiment 2, we replicated and extended these findings in adults using vocalizations that conveyed multiple negative affect states. These results suggest perceivers' flexibly and rapidly update their interpretation of affective vocal cues based upon context. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s42761-021-00038-w.

Testimony bias lingers across development under uncertainty.

Children have a powerful ability to track probabilistic information, but there are also situations in which young learners simply follow what another person says or does at the cost of obtaining rewards. This latter phenomenon, sometimes termed bias to trust in testimony, has primarily been studied in children preschool-age and younger, presumably because reasoning capacities improve with age. Less attention has been paid to situations in which testimony bias lingers-one possibility is that children revert to a testimony bias under conditions of uncertainty. Here, participants (4 to 9 years old) searched for rewards and received testimony that varied in reliability. We find support for testimony bias beyond preschool-age, particularly for uncertain testimony. Children were sensitive to trial-by-trial uncertainty (Experiment 1: N = 102, 59 boys, 43 girls; the sample included nine Hispanic/Latinx, 93 non-Hispanic/Latinx participants, of whom six were Black/African American, seven were Asian American, eight were multiracial, 77 were White, and four indicated "other" or did not respond), and with uncertainty defined as a one-time, unexpected change in the testimony (Experiment 3: N = 129; 68 boys, 61 girls; the sample included 12 Hispanic/Latinx, 117 non-Hispanic/Latinx [10 Black/African American, four Asian American, nine multiracial, 103 White, and three "other"]). However, the impact of the testimony bias decreased with age. These effects were specific to the testimony coming from another person as opposed to resulting from a computer glitch (Experiment 2: N = 89, 52 boys, 37 girls; five Hispanic/Latinx, 80 non-Hispanic/Latinx, of whom one was Black/African American, three were Asian American, 15 were multiracial, 66 were White, and four did not report race). Taken together, these experiments provide evidence of a disproportionate influence of testimony, even in children with more advanced reasoning skills. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Probabilistic learning of emotion categories.

Although the configurations of facial muscles that humans perceive vary continuously, we often represent emotions as categories. This suggests that, as in other domains of categorical perception such as speech and color perception, humans become attuned to features of emotion cues that map onto meaningful thresholds for these signals given their environments. However, little is known about the learning processes underlying the representation of these salient social signals. In Experiment 1 we test the role of statistical distributions of facial cues in the maintenance of an emotion category in both children (6-8 years old) and adults (18-22 years old). Children and adults learned the boundary between neutral and angry when provided with explicit feedback (supervised learning). However, after we exposed participants to different statistical distributions of facial cues, they rapidly shifted their category boundaries for each emotion during a testing phase. In Experiments 2 and 3, we replicated this finding and also tested the extent to which learners are able to track statistical distributions for multiple actors. Not only did participants form actor-specific categories, but the distributions of facial cues also influenced participants' trait judgments about the actors. Taken together, these data are consistent with the view that the way humans construe emotion (in this case, anger) is not only flexible, but reflects complex learning about the distributions of the myriad cues individuals experience in their social environments. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Abused Children Experience High Anger Exposure.

Childhood maltreatment is a critical problem in the United States. Much attention has been paid to the negative outcomes suffered by victims of abuse. Less attention has been devoted to understanding the emotional environments of maltreated children. One assumption, which has stood without empirical test, is that abused children encounter a high degree of anger in their home environments. Anger exposure is thought to be a source of stress for children in abusive environments and a potential link between the experience of abuse and the development of health and behavioral problems. We tested this notion by assessing data on over 1,000 parents and guardians of 3- to 17-year-old children who were participants in child development studies. Abuse was measured via records from Child Protective Services regarding substantiated and unsubstantiated claims of abuse as well as parent/guardian report. We compared self-reported experiences of anger from parents/guardians of children who have experienced abuse with those who have not. We found support for the claim that caregivers of abused children experience and express high levels of anger. Better characterization of the emotional environments in which abused children develop is critical for understanding how and why abuse affects children and has important implications for informing interventions.

Loss aversion and 5HTT gene variants in adolescent anxiety.

Loss aversion, a well-documented behavioral phenomenon, characterizes decisions under risk in adult populations. As such, loss aversion may provide a reliable measure of risky behavior. Surprisingly, little is known about loss aversion in adolescents, a group who manifests risk-taking behavior, or in anxiety disorders, which are associated with risk-avoidance. Finally, loss aversion is expected to be modulated by genotype, particularly the serotonin transporter (SERT) gene variant, based on its role in anxiety and impulsivity. This genetic modulation may also differ between anxious and healthy adolescents, given their distinct propensities for risk taking. The present work examines the modulation of loss aversion, an index of risk-taking, and reaction-time to decision, an index of impulsivity, by the serotonin-transporter-gene-linked polymorphisms (5HTTLPR) in healthy and clinically anxious adolescents. Findings show that loss aversion (1) does manifest in adolescents, (2) does not differ between healthy and clinically anxious participants, and (3), when stratified by SERT genotype, identifies a subset of anxious adolescents who are high SERT-expressers, and show excessively low loss-aversion and high impulsivity. This last finding may serve as preliminary evidence for 5HTTLPR as a risk factor for the development of comorbid disorders associated with risk-taking and impulsivity in clinically anxious adolescents.