Sixteen facial expressions occur in similar contexts worldwide.

Understanding the degree to which human facial expressions co-vary with specific social contexts across cultures is central to the theory that emotions enable adaptive responses to important challenges and opportunities1-6. Concrete evidence linking social context to specific facial expressions is sparse and is largely based on survey-based approaches, which are often constrained by language and small sample sizes7-13. Here, by applying machine-learning methods to real-world, dynamic behaviour, we ascertain whether naturalistic social contexts (for example, weddings or sporting competitions) are associated with specific facial expressions14 across different cultures. In two experiments using deep neural networks, we examined the extent to which 16 types of facial expression occurred systematically in thousands of contexts in 6 million videos from 144 countries. We found that each kind of facial expression had distinct associations with a set of contexts that were 70% preserved across 12 world regions. Consistent with these associations, regions varied in how frequently different facial expressions were produced as a function of which contexts were most salient. Our results reveal fine-grained patterns in human facial expressions that are preserved across the modern world.

Higher emotional granularity relates to greater inferior frontal cortex cortical thickness in healthy, older adults.

Individuals with high emotional granularity make fine-grained distinctions between their emotional experiences. To have greater emotional granularity, one must acquire rich conceptual knowledge of emotions and use this knowledge in a controlled and nuanced way. In the brain, the neural correlates of emotional granularity are not well understood. While the anterior temporal lobes, angular gyri, and connected systems represent conceptual knowledge of emotions, inhibitory networks with hubs in the inferior frontal cortex (i.e., posterior inferior frontal gyrus, lateral orbitofrontal cortex, and dorsal anterior insula) guide the selection of this knowledge during emotions. We investigated the structural neuroanatomical correlates of emotional granularity in 58 healthy, older adults (ages 62-84 years), who have had a lifetime to accrue and deploy their conceptual knowledge of emotions. Participants reported on their daily experience of 13 emotions for 8 weeks and underwent structural magnetic resonance imaging. We computed intraclass correlation coefficients across daily emotional experience surveys (45 surveys on average per participant) to quantify each participant's overall emotional granularity. Surface-based morphometry analyses revealed higher overall emotional granularity related to greater cortical thickness in inferior frontal cortex (pFWE < 0.05) in bilateral clusters in the lateral orbitofrontal cortex and extending into the left dorsal anterior insula. Overall emotional granularity was not associated with cortical thickness in the anterior temporal lobes or angular gyri. These findings suggest individual differences in emotional granularity relate to variability in the structural neuroanatomy of the inferior frontal cortex, an area that supports the controlled selection of conceptual knowledge during emotional experiences.

Awe Sparks Prosociality in Children.

Rooted in the novel and the mysterious, awe is a common experience in childhood, but research is almost silent with respect to the import of this emotion for children. Awe makes individuals feel small, thereby shifting their attention to the social world. Here, we studied the effects of art-elicited awe on children's prosocial behavior toward an out-group and its unique physiological correlates. In two preregistered studies (Study 1: N = 159, Study 2: N = 353), children between 8 and 13 years old viewed movie clips that elicited awe, joy, or a neutral (control) response. Children who watched the awe-eliciting clip were more likely to spend their time on an effortful task (Study 1) and to donate their experimental earnings (Studies 1 and 2), all toward benefiting refugees. They also exhibited increased respiratory sinus arrhythmia, an index of parasympathetic nervous system activation associated with social engagement. We discuss implications for fostering prosociality by reimagining children's environments to inspire awe at a critical age.

Dispositional compassion shifts social preferences in systematic ways.

INTRODUCTION: How people attach value to the outcomes of self and other-social preferences-is central to social behavior. Recently, how dispositional and state emotion shape such social preferences has received researchers' attention. METHOD: The present investigation asked whether and to what extent dispositional and state compassion predict shifts in social preferences across 4 samples: two correlational samples (final ns 153 & 368, study 1a and 1b) and two experimental samples (final ns: 430 & 530, studies 2 and 3). RESULTS: In keeping with recent accounts of compassion, dispositional compassion predicted general preference for equality, expressed as dispreference for both monetary advantage over another (interaction ßs = -0.36, -0.33, -0.25, -0.22; all p < 0.001) and monetary disadvantage relative to others (ßs: 0.26, 0.27, 0.28, 0.17; all p < 0.01; positive coefficients imply dispreference). This dispositional effect persisted when controlling for prosociality, positivity, agreeableness, and respectfulness. Furthermore, these dispositional compassion effects were relatively unchanged by experimental emotion inductions in studies 3 and 4. The experimental inductions of state compassion and state pride showed little evidence of systematic effects on social preferences relative to each other or a neutral condition. DISCUSSION: Discussion focused on individual differences in emotion and social preferences.

Meta-analytic evidence that attachment insecurity is associated with less frequent experiences of discrete positive emotions.

OBJECTIVE: Individual differences in attachment insecurity can have important implications for experiences of positive emotions. However, existing research on the link between attachment insecurity and positive emotional experiences has typically used a composite measure of positive emotions, overlooking the potential importance of differentiating discrete emotions. METHOD: We conducted a meta-analysis of 10 cross-sectional samples (N = 3215), examining how attachment insecurity is associated with self-reported frequency of experiencing positive emotions, with a distinction made between more social (i.e., love and gratitude) and less social (i.e., peace and awe or curiosity) positive emotions. RESULTS: High (vs. low) levels of both attachment anxiety and avoidance were associated with less frequent experience of positive emotions regardless of their social relevance. When analyzing each emotion separately, we found that attachment anxiety showed negative relations to all emotions except gratitude. Attachment avoidance was negatively associated with all emotions, and the link was even stronger with love (vs. peace, awe, or curiosity). Additional analyses of daily diary data revealed that attachment anxiety and avoidance were also negatively associated with daily experiences of positive emotions, regardless of social relevance. CONCLUSION: Our results underscore the need to further investigate the mechanisms underlying insecure individuals' blunted positive emotional experiences.

What music makes us feel: At least 13 dimensions organize subjective experiences associated with music across different cultures.

What is the nature of the feelings evoked by music? We investigated how people represent the subjective experiences associated with Western and Chinese music and the form in which these representational processes are preserved across different cultural groups. US (n = 1,591) and Chinese (n = 1,258) participants listened to 2,168 music samples and reported on the specific feelings (e.g., "angry," "dreamy") or broad affective features (e.g., valence, arousal) that they made individuals feel. Using large-scale statistical tools, we uncovered 13 distinct types of subjective experience associated with music in both cultures. Specific feelings such as "triumphant" were better preserved across the 2 cultures than levels of valence and arousal, contrasting with theoretical claims that valence and arousal are building blocks of subjective experience. This held true even for music selected on the basis of its valence and arousal levels and for traditional Chinese music. Furthermore, the feelings associated with music were found to occupy continuous gradients, contradicting discrete emotion theories. Our findings, visualized within an interactive map (https://www.ocf.berkeley.edu/∼acowen/music.html) reveal a complex, high-dimensional space of subjective experience associated with music in multiple cultures. These findings can inform inquiries ranging from the etiology of affective disorders to the neurological basis of emotion.

Machine learning uncovers the most robust self-report predictors of relationship quality across 43 longitudinal couples studies.

Given the powerful implications of relationship quality for health and well-being, a central mission of relationship science is explaining why some romantic relationships thrive more than others. This large-scale project used machine learning (i.e., Random Forests) to 1) quantify the extent to which relationship quality is predictable and 2) identify which constructs reliably predict relationship quality. Across 43 dyadic longitudinal datasets from 29 laboratories, the top relationship-specific predictors of relationship quality were perceived-partner commitment, appreciation, sexual satisfaction, perceived-partner satisfaction, and conflict. The top individual-difference predictors were life satisfaction, negative affect, depression, attachment avoidance, and attachment anxiety. Overall, relationship-specific variables predicted up to 45% of variance at baseline, and up to 18% of variance at the end of each study. Individual differences also performed well (21% and 12%, respectively). Actor-reported variables (i.e., own relationship-specific and individual-difference variables) predicted two to four times more variance than partner-reported variables (i.e., the partner's ratings on those variables). Importantly, individual differences and partner reports had no predictive effects beyond actor-reported relationship-specific variables alone. These findings imply that the sum of all individual differences and partner experiences exert their influence on relationship quality via a person's own relationship-specific experiences, and effects due to moderation by individual differences and moderation by partner-reports may be quite small. Finally, relationship-quality change (i.e., increases or decreases in relationship quality over the course of a study) was largely unpredictable from any combination of self-report variables. This collective effort should guide future models of relationships.

How emotions, relationships, and culture constitute each other: advances in social functionalist theory.

Social Functionalist Theory (SFT) emerged 20 years ago to orient emotion science to the social nature of emotion. Here we expand upon SFT and make the case for how emotions, relationships, and culture constitute one another. First, we posit that emotions enable the individual to meet six "relational needs" within social interactions: security, commitment, status, trust, fairness, and belongingness. Building upon this new theorising, we detail four principles concerning emotional experience, cognition, expression, and the cultural archiving of emotion. We conclude by considering the bidirectional influences between culture, relationships, and emotion, outlining areas of future inquiry.

Are awe-prone people more curious? The relationship between dispositional awe, curiosity, and academic outcomes.

OBJECTIVE: Guided by a functional account of awe, we aimed to test the hypothesis that people who often feel awe are also more curious (Studies 1 and 2), and that this relationship in turn relates to academic outcomes (Study 3). METHOD: In Study 1 (n = 1,005), we used a self-report approach to test the relationship between dispositional awe and curiosity. In Study 2 (n = 100), we used a peer-report approach to test if participants' dispositional awe related to how curious they were rated by their friends. In Study 3, in a sample of 447 high school adolescents we tested if dispositional awe related to academic outcomes via curiosity. RESULTS: We found that dispositional awe was positively related to people's self-rated curiosity (Study 1) and how curious they were rated by their friends (Study 2). In Study 3, we found that dispositional awe was related to academic outcomes via curiosity. CONCLUSIONS: We conclude that among the seven positive emotion dispositions tested, awe was related to unique variance in curiosity, and this link in turn predicted academic outcomes. This work further characterizes awe as an epistemic emotion and suggests that activities that inspire awe may improve academic outcomes.

Self-report captures 27 distinct categories of emotion bridged by continuous gradients.

Emotions are centered in subjective experiences that people represent, in part, with hundreds, if not thousands, of semantic terms. Claims about the distribution of reported emotional states and the boundaries between emotion categories-that is, the geometric organization of the semantic space of emotion-have sparked intense debate. Here we introduce a conceptual framework to analyze reported emotional states elicited by 2,185 short videos, examining the richest array of reported emotional experiences studied to date and the extent to which reported experiences of emotion are structured by discrete and dimensional geometries. Across self-report methods, we find that the videos reliably elicit 27 distinct varieties of reported emotional experience. Further analyses revealed that categorical labels such as amusement better capture reports of subjective experience than commonly measured affective dimensions (e.g., valence and arousal). Although reported emotional experiences are represented within a semantic space best captured by categorical labels, the boundaries between categories of emotion are fuzzy rather than discrete. By analyzing the distribution of reported emotional states we uncover gradients of emotion-from anxiety to fear to horror to disgust, calmness to aesthetic appreciation to awe, and others-that correspond to smooth variation in affective dimensions such as valence and dominance. Reported emotional states occupy a complex, high-dimensional categorical space. In addition, our library of videos and an interactive map of the emotional states they elicit (https://s3-us-west-1.amazonaws.com/emogifs/map.html) are made available to advance the science of emotion.

Income Inequality and White-on-Black Racial Bias in the United States: Evidence From Project Implicit and Google Trends.

Several theories predict that income inequality may produce increased racial bias, but robust tests of this hypothesis are lacking. We examined this relationship at the U.S. state level from 2004 to 2015 using Internal Revenue Service-based income-inequality statistics and two large-scale racial-bias data sources: Project Implicit ( N = 1,554,109) and Google Trends. Using a multimethod approach, we found evidence of a significant positive within-state association between income inequality and Whites' explicit racial bias. However, the effect was small, with income inequality accounting for 0.4% to 0.7% of within-state variation in racial bias, and was also contingent on model specification, with results dependent on the measure of income inequality used. We found no conclusive evidence linking income inequality to implicit racial bias or racially offensive Google searches. Overall, our findings admit multiple interpretations, but we discuss why statistically small effects of income inequality on explicit racial bias may nonetheless be socially meaningful.

Toward a consensual taxonomy of emotions.

In this article, I chart certain origins of the science of emotion back to the cognitive revolution. I then highlight new developments in the field - the influences of emotion upon cognition, the focus on over 20 emotions, the expanding emphasis on positive emotion, and an abiding interest in the functions emotions serve. I close by arguing for the need for the field to move toward a conceptual taxonomy of emotions, to move beyond decades of terminological debates about what emotions are to a convergent effort to understand what emotions do for people.

Virtues, Vices, and Political Influence in the U.S. Senate.

What qualities make a political leader more influential or less influential? Philosophers, political scientists, and psychologists have puzzled over this question, positing two opposing routes to political power--one driven by human virtues, such as courage and wisdom, and the other driven by vices, such as Machiavellianism and psychopathy. By coding nonverbal behaviors displayed in political speeches, we assessed the virtues and vices of 151 U.S. senators. We found that virtuous senators became more influential after they assumed leadership roles, whereas senators who displayed behaviors consistent with vices--particularly psychopathy--became no more influential or even less influential after they assumed leadership roles. Our results inform a long-standing debate about the role of morality and ethics in leadership and have important implications for electing effective government officials. Citizens would be wise to consider a candidate's virtue in casting their votes, which might increase the likelihood that elected officials will have genuine concern for their constituents and simultaneously promote cooperation and progress in government.

The sociocultural appraisals, values, and emotions (SAVE) framework of prosociality: core processes from gene to meme.

The study of prosocial behavior--altruism, cooperation, trust, and the related moral emotions--has matured enough to produce general scholarly consensus that prosociality is widespread, intuitive, and rooted deeply within our biological makeup. Several evolutionary frameworks model the conditions under which prosocial behavior is evolutionarily viable, yet no unifying treatment exists of the psychological decision-making processes that result in prosociality. Here, we provide such a perspective in the form of the sociocultural appraisals, values, and emotions (SAVE) framework of prosociality. We review evidence for the components of our framework at four levels of analysis: intrapsychic, dyadic, group, and cultural. Within these levels, we consider how phenomena such as altruistic punishment, prosocial contagion, self-other similarity, and numerous others give rise to prosocial behavior. We then extend our reasoning to chart the biological underpinnings of prosociality and apply our framework to understand the role of social class in prosociality.

Higher social class predicts increased unethical behavior.

Seven studies using experimental and naturalistic methods reveal that upper-class individuals behave more unethically than lower-class individuals. In studies 1 and 2, upper-class individuals were more likely to break the law while driving, relative to lower-class individuals. In follow-up laboratory studies, upper-class individuals were more likely to exhibit unethical decision-making tendencies (study 3), take valued goods from others (study 4), lie in a negotiation (study 5), cheat to increase their chances of winning a prize (study 6), and endorse unethical behavior at work (study 7) than were lower-class individuals. Mediator and moderator data demonstrated that upper-class individuals' unethical tendencies are accounted for, in part, by their more favorable attitudes toward greed.

How sacrifice impacts the giver and the recipient: insights from approach-avoidance motivational theory.

This study investigated how sacrificing for approach versus avoidance goals shapes the giver's and the recipient's emotions and relationship quality. A sample of 80 dating couples participated in a three-part study in which they discussed sacrifice in the laboratory (Part 1), reported on their daily sacrifices for 14 days (Part 2), and completed a follow-up survey 3 months later (Part 3). When partners discussed a sacrifice they had made for approach goals, they experienced greater relationship quality, whereas when they discussed a sacrifice they had made for avoidance goals, they experienced poorer relationship quality. These effects were replicated with outside observer reports. On days when partners sacrificed for approach goals, both partners experienced increased relationship quality, but on days when people sacrificed for avoidance goals, the giver experienced decreased relationship quality. These effects were mediated by positive and negative emotions, respectively. Approach sacrifice goals predicted increases in relationship quality and avoidance sacrifice goals predicted decreases in relationship quality, as reported by both partners 3 months later. Sacrifice per se does not help or harm relationships, but the goals that people pursue when they give up their own interests can critically shape the quality of intimate bonds.

Thin-slicing study of the oxytocin receptor (OXTR) gene and the evaluation and expression of the prosocial disposition.

Individuals who are homozygous for the G allele of the rs53576 SNP of the oxytocin receptor (OXTR) gene tend to be more prosocial than carriers of the A allele. However, little is known about how these differences manifest behaviorally and whether they are readily detectable by outside observers, both critical questions in theoretical accounts of prosociality. In the present study, we used thin-slicing methodology to test the hypotheses that (i) individual differences in rs53576 genotype predict how prosocial observers judge target individuals to be on the basis of brief observations of behavior, and (ii) that variation in targets' nonverbal displays of affiliative cues would account for these judgment differences. In line with predictions, we found that individuals homozygous for the G allele were judged to be more prosocial than carriers of the A allele. These differences were completely accounted for by variations in the expression of affiliative cues. Thus, individual differences in rs53576 are associated with behavioral manifestations of prosociality, which ultimately guide the judgments others make about the individual.

Culture and Awe: Understanding Awe as a Mixed Emotion.

Recent work is establishing awe as an important positive emotion that offers physical and psychological benefits. However, early theorizing suggests that awe's experience is often tinged with fear. How then, do we reconcile emergent positive conceptualizations of awe with its more fearful elements? We suggest that positive conceptualizations of awe may partially reflect modern Western experiences of this emotion, which make up the majority of participant samples when studying awe. To test whether awe contains more fearful qualities outside of Western cultures, we compared participants' experiences of this emotion in China to those in the United States. In a two-week daily diary study (Study 1), Chinese participants reported greater fear than American participants during experiences of awe, but not a comparison positive emotion. In response to a standardized awe induction (Study 2), Chinese participants reported more fear, whereas American participants reported more positive emotions. Physiological changes in autonomic activity differed by culture only for heart rate, but not skin conductance or respiratory sinus arrhythmia. These findings reveal that awe may be experienced as a more fearful, mixed emotion in China than in the United States and suggest that current positive conceptualizations of awe may reflect a disproportionate reliance on modern Western samples. Supplementary Information: The online version contains supplementary material available at 10.1007/s42761-024-00243-3.

Deep learning reveals what facial expressions mean to people in different cultures.

Cross-cultural studies of the meaning of facial expressions have largely focused on judgments of small sets of stereotypical images by small numbers of people. Here, we used large-scale data collection and machine learning to map what facial expressions convey in six countries. Using a mimicry paradigm, 5,833 participants formed facial expressions found in 4,659 naturalistic images, resulting in 423,193 participant-generated facial expressions. In their own language, participants also rated each expression in terms of 48 emotions and mental states. A deep neural network tasked with predicting the culture-specific meanings people attributed to facial movements while ignoring physical appearance and context discovered 28 distinct dimensions of facial expression, with 21 dimensions showing strong evidence of universality and the remainder showing varying degrees of cultural specificity. These results capture the underlying dimensions of the meanings of facial expressions within and across cultures in unprecedented detail.