The Neuroscience of Human and Artificial Intelligence Presence.

Two decades of social neuroscience and neuroeconomics research illustrate the brain mechanisms that are engaged when people consider human beings, often in comparison to considering artificial intelligence (AI) as a nonhuman control. AI as an experimental control preserves agency and facilitates social interactions but lacks a human presence, providing insight into brain mechanisms that are engaged by human presence and the presence of AI. Here, I review this literature to determine how the brain instantiates human and AI presence across social perception and decision-making paradigms commonly used to realize a social context. People behave toward humans differently than they do toward AI. Moreover, brain regions more engaged by humans compared to AI extend beyond the social cognition brain network to all parts of the brain, and the brain sometimes is engaged more by AI than by humans. Finally, I discuss gaps in the literature, limitations in current neuroscience approaches, and how an understanding of the brain correlates of human and AI presence can inform social science in the wild.

Evidence of shifting racial biases?

Racial biases are not fixed; they shift over time as cultural narratives about various social groups shift. Such shifts are usually triggered by catalytic events such as the murder of George Floyd. Dang et al. (2022) potentially document such a shift in brain responses to African Americans experiencing police violence; participants engage brain mechanisms involved in mentalising more when witnessing such atrocities, evidence of a lack of dehumanisation. This commentary urges caution towards such interpretations of these findings and encourages future research to better understanding shifting racial biases over time.

Looking with different eyes: The psychological meaning of categorisation goals moderates facial reactivity to facial expressions.

In the present research we examined whether the psychological meaning of people's categorisation goals affects facial muscle activity in response to facial expressions of emotion. We had participants associate eye colour (blue, brown) with either a personality trait (extraversion) or a physical trait (light frequency) and asked them to use these associations in a speeded categorisation task of angry, disgusted, happy and neutral faces while assessing participants' response times and facial muscle activity. We predicted that participants would respond differentially to the emotional faces when the categorisation criteria allowed for inferences about a target's thoughts, feelings or behaviour (i.e., when categorising extraversion), but not when these lacked any social meaning (i.e., when categorising light frequency). Indeed, emotional faces triggered facial reactions to facial expressions when participants categorised extraversion, but not when they categorised light frequency. In line with this, only when categorising extraversion did participants' response times indicate a negativity bias replicating previous results. Together, these findings provide further evidence for the contextual nature of people's selective responses to the emotions expressed by others.

Sticking with the nice guy: trait warmth information impairs learning and modulates person perception brain network activity.

Social learning requires inferring social information about another person, as well as evaluating outcomes. Previous research shows that prior social information biases decision making and reduces reliance on striatal activity during learning (Delgado, Frank, & Phelps, Nature Neuroscience 8 (11): 1611-1618, 2005). A rich literature in social psychology on person perception demonstrates that people spontaneously infer social information when viewing another person (Fiske & Taylor, 2013) and engage a network of brain regions, including the medial prefrontal cortex, temporal parietal junction, superior temporal sulcus, and precuneus (Amodio & Frith, Nature Reviews Neuroscience, 7(4), 268-277, 2006; Haxby, Gobbini, & Montgomery, 2004; van Overwalle Human Brain Mapping, 30, 829-858, 2009). We investigate the role of these brain regions during social learning about well-established dimensions of person perception-trait warmth and trait competence. We test the hypothesis that activity in person perception brain regions interacts with learning structures during social learning. Participants play an investment game where they must choose an agent to invest on their behalf. This choice is guided by cues signaling trait warmth or trait competence based on framing of monetary returns. Trait warmth information impairs learning about human but not computer agents, while trait competence information produces similar learning rates for human and computer agents. We see increased activation to warmth information about human agents in person perception brain regions. Interestingly, activity in person perception brain regions during the decision phase negatively predicts activity in the striatum during feedback for trait competence inferences about humans. These results suggest that social learning may engage additional processing within person perception brain regions that hampers learning in economic contexts.

How clinical decision tasks modulate emotional related EEG responses in nursing students.

Healthcare professionals play a vital role in conveying sensitive information as patients undergo stressful, demanding situations. However, the underlying neurocognitive dynamics in routine clinical tasks remain underexplored, creating gaps in healthcare research and social cognition models. Here, we examined whether the type of clinical task may differentially affect the emotional processing of nursing students in response to the emotional reactions of patients. In a within-subjects design, 40 nursing students read clinical cases prompting them to make procedural decisions or to respond to a patient with a proper communicative decision. Afterward, participants read sentences about patients' emotional states; some semantically consistent and others inconsistent along with filler sentences. EEG recordings toward critical words (emotional stimuli) were used to capture ERP indices of emotional salience (EPN), attentional engagement (LPP) and semantic integration (N400). Results showed that the procedural decision task elicited larger EPN amplitudes, reflecting pre-attentive categorization of emotional stimuli. The communicative decision task elicited larger LPP components associated with later elaborative processing. Additionally, the classical N400 effect elicited by semantically inconsistent sentences was found. The psychophysiological measures were tied by self-report measures indexing the difficulty of the task. These results suggest that the requirements of clinical tasks modulate emotional-related EEG responses.

What is the Link Between Different Components of Empathy and Burnout in Healthcare Professionals? A Systematic Review and Meta-Analysis.

Research on healthcare shows that the relationship between empathy and burnout is complex. The aim of this systematic review and meta-analysis is to clarify the link between different empathic components and burnout components in healthcare professionals. A systematic review was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidance. The search strategy was applied in PubMed, PsycINFO, CINAHL, Scopus, and Medline, from January 1990 to January 2021. Population included nurses and doctors. Key inclusion criteria were articles addressing the relationship between different components of empathy and professional performance and wellbeing or burn out, or studies using burnout and empathy measures with validity support from commonly accepted sources of evidence. Risk of bias was assessed using the Mixed Methods Appraisal Tool. From 1159 references identified, 22 studies were included in the systematic review, and 5 studies in the meta-analysis. Empathic Concern was significantly correlated with Depersonalization and Personal Accomplishment. Moreover, the links between Perspective Taking, Depersonalization and Personal Accomplishment were statistically significant. In conclusion, exploring and understanding the complex links between empathy and burnout could help healthcare professionals as well as institutions to reduce the risk of suffering burnout.

The performance of long vs. short questionnaire-based measures of depression, anxiety, and psychological distress among UK adults: A comparison of the patient health questionnaires, generalized anxiety disorder scales, malaise inventory, and Kessler scales.

It is often important to minimise the time participants in social science studies spend on completing questionnaire-based measures, reducing response burden, and increasing data quality. Here, we investigated the performance of the short versions of some widely used depression, anxiety, and psychological distress scales and compared them to the performance of longer versions of these scales (PHQ-2 vs PHQ-9, GAD-2 vs GAD-7, Malaise-3 vs Malaise-9, K6 vs K10). Across a sample of UK adults (N = 987, ages 18-86), we tested the existing factor structure and accuracy of the scales through confirmatory factor analyses and exploration of the total information functions, observing adequate model fit indices across the measures. Measurement invariance was tested across birth sex and age groups to explore whether any differences in measurement properties or measurement bias may exist, finding support for the invariance of most measures. We conducted bivariate correlations across the measures as a way of obtaining evidence of the equivalence in the rank-ordering of short vs long scales. The results followed a similar pattern across the young adult subsample (N = 375, ages 18-39) as in the overall sample. Overall, these results indicate that the short forms of the tested scales may perform similarly to the full versions. Where brevity is important, researchers may opt to use the shorter versions of the scales based on these data.

What Can Affective Science Contribute to Eradicating Structural Racism?

This introduction to the Special Issue in Affective Science on structural racism lays a challenge to affective science researchers: improve the inefficiency in our science. It describes how structural racism leads to inefficiencies in idea generation, technological development, training, and career progression in our science, limiting its ability to fully discover the role of affect in the human condition. It briefly describes the content of the special issue, and attempts to start a dialogue about best practices for inclusive science.

Comparing emotion inferences from dogs (Canis familiaris), panins (Pan troglodytes/Pan paniscus), and humans (Homo sapiens) facial displays.

Human beings are highly familiar over-learnt social targets, with similar physical facial morphology between perceiver and target. But does experience with or similarity to a social target determine whether we can accurately infer emotions from their facial displays? Here, we test this question across two studies by having human participants infer emotions from facial displays of: dogs, a highly experienced social target but with relatively dissimilar facial morphology; panins (chimpanzees/bonobos), inexperienced social targets, but close genetic relatives with a more similar facial morphology; and humans. We find that people are more accurate inferring emotions from facial displays of dogs compared to panins, though they are most accurate for human faces. However, we also find an effect of emotion, such that people vary in their ability to infer different emotional states from different species' facial displays, with anger more accurately inferred than happiness across species, perhaps hinting at an evolutionary bias towards detecting threat. These results not only compare emotion inferences from human and animal faces but provide initial evidence that experience with a non-human animal affects inferring emotion from facial displays.

Examining Preverbal Infants' Ability to Map Labels to Facial Configurations.

Language is important for emotion perception, but very little is known about how emotion labels are learned. The current studies examine how preverbal infants map novel labels onto facial configurations. Across studies, infants were tested with a modified habituation paradigm ("switch design"). Experiments 1 and 2 found that 18-month-olds, but not 14-month-olds, mapped novel labels ("blicket" and "toma") to human facial configurations associated with happiness and sadness. Subsequent analyses revealed that vocabulary size positively correlated with 14-month-olds' ability to form the mappings. Experiment 3 found that 14-month-olds were able to map novel labels to facial configurations when the visual complexity of the stimuli was reduced (i.e., by using cartoon facial configurations). This suggests that cognitive maturation and language development influence infants' associative word learning with facial configurations. The current studies are a critical first step in determining how infants navigate the complex process of learning emotion labels.

Understanding the Links between Inferring Mental States, Empathy, and Burnout in Medical Contexts.

It is generally accepted that empathy should be the basis of patient care. However, this ideal may be unrealistic if healthcare professionals suffer adverse effects when engaging in empathy. The aim of this study is to explore the effect of inferring mental states and different components of empathy (perspective-taking; empathic concern; personal distress) in burnout dimensions (emotional exhaustion; depersonalization; personal accomplishment). A total of 184 healthcare professionals participated in the study (23% male, Mage = 44.60; SD = 10.46). We measured participants' empathy, the inference of mental states of patients, and burnout. Correlation analyses showed that inferring mental states was positively associated with perspective-taking and with empathic concern, but uncorrelated with personal distress. Furthermore, emotional exhaustion was related to greater levels of personal distress and greater levels of inferences of mental states. Depersonalization was associated with greater levels of personal distress and lower levels of empathic concern. Personal accomplishment was associated with the inference of mental states in patients, lower levels of personal distress, and perspective-taking. These results provide a better understanding of how different components of empathy and mental state inferences may preserve or promote healthcare professionals' burnout.

Exploring how harming and helping behaviors drive prediction and explanation during anthropomorphism.

Cacioppo and colleagues advanced the study of anthropomorphism by positing three motives that moderated the occurrence of this phenomenon; belonging, effectance, and explanation. Here, we further this literature by exploring the extent to which the valence of a target's behavior influences its anthropomorphism when perceivers attempt to explain and predict that target's behavior, and the involvement of brain regions associated with explanation and prediction in such anthropomorphism. Participants viewed videos of varying visually complex agents - geometric shapes, computer generated (CG) faces, and greebles - in nonrandom motion performing harming and helping behaviors. Across two studies, participants reported a narrative that explained the observed behavior (both studies) while we recorded brain activity (study one), and participants predicted future behavior of the protagonist shapes (study two). Brain regions implicated in prediction error (striatum), not language generation (inferior frontal gyrus; IFG) engaged more to harming than helping behaviors during the anthropomorphism of such stimuli. Behaviorally, we found greater anthropomorphism in explanations of harming rather than helping behaviors, but the opposite pattern when participants predicted the agents' behavior. Together, these studies build upon the anthropomorphism literature by exploring how the valence of behavior drives explanation and prediction.

Jumping on the 'bad'wagon? How group membership influences responses to the social exclusion of others.

In four studies, we addressed whether group membership influences behavioral and neural responses to the social exclusion of others. Participants played a modified three-player Cyberball game (Studies 1-3) or a team-selection task (Study 4) in the absence or presence of a minimal group setting. In the absence of a minimal group, when one player excluded another player, participants actively included the excluded target. When the excluder was from the in-group and the excluded player from the out-group, participants were less likely to intervene (Studies 1-3) and also more often went along with the exclusion (Study 4). Functional magnetic resonance imaging results (Study 3) showed that greater exclusion in the minimal group setting concurred with increased activation in the dorsolateral pre-frontal cortex, a region associated with overriding cognitive conflict. Self-reports from Study 4 supported these results by showing that participants' responses to the target's exclusion were motivated by group membership as well as participants' general aversion to exclude others. Together, the findings suggest that when people witness social exclusion, group membership triggers a motivational conflict between favoring the in-group and including the out-group target. This underscores the importance of group composition for understanding the dynamics of social exclusion.

Constructing emotion categorization: Insights from developmental psychology applied to a young adult sample.

Previous research has found that the categorization of emotional facial expressions is influenced by a variety of factors, such as processing time, facial mimicry, emotion labels, and perceptual cues. However, past research has frequently confounded these factors, making it impossible to ascertain how adults use this varied information to categorize emotions. The current study is the first to explore the magnitude of impact for each of these factors on emotion categorization in the same paradigm. Participants (N = 102) categorized anger and disgust emotional facial expressions in a novel computerized task, modeled on similar tasks in the developmental literature with preverbal infants. Experimental conditions manipulated (a) whether the task was time-restricted, and (b) whether the labels "anger" and "disgust" were used in the instructions. Participants were significantly more accurate when provided with unlimited response time and emotion labels. Participants who were given restricted sorting time (2s) and no emotion labels tended to focus on perceptual features of the faces when categorizing the emotions, which led to low sorting accuracy. In addition, facial mimicry related to greater sorting accuracy. These results suggest that when high-level (labeling) categorization strategies are unavailable, adults use low-level (perceptual) strategies to categorize facial expressions. Methodological implications for the study of emotion are discussed. (PsycINFO Database Record (c) 2018 APA, all rights reserved).

Developmental changes in infants' categorization of anger and disgust facial expressions.

For decades, scholars have examined how children first recognize emotional facial expressions. This research has found that infants younger than 10 months can discriminate negative, within-valence facial expressions in looking time tasks, and children older than 24 months struggle to categorize these expressions in labeling and free-sort tasks. Specifically, these older children, and even adults, consistently misidentify disgust expressions as anger. Although some scholars have hypothesized that young infants would also be unable to categorize anger and disgust expressions, this question has not been empirically tested. In addition, very little research has examined developmental changes in infants' perceptual categorization abilities with high arousal, within-valence emotions. For this reason, the current study tested 10- and 18-month-olds in a looking time task and found that both age groups could perceptually categorize anger and disgust facial expressions. Furthermore, 18-month-olds showed a heightened sensitivity to novel anger expressions, suggesting that, over the second year of life, infants' emotion categorization skills undergo developmental change. These findings are the first to demonstrate that young infants can categorize anger and disgust facial expressions and to document how this skill develops and changes over time. (PsycINFO Database Record

Women recovering from social rejection: The effect of the person and the situation on a hormonal mechanism of affiliation.

Rejection can motivate either affiliation or withdrawal. In order to study how personality and situational variables influence whether women will be motivated to affiliate versus withdraw, we manipulate social feedback (rejection vs. acceptance) and opportunity for face-to-face interaction (blocked vs. face-to-face) and measure the individual difference variables rejection sensitivity and social anxiety. We test how these variables affect endogenous progesterone and cortisol concentrations, which are presumed to signal motivational responses to rejection. We find that three-way interactions involving social feedback, opportunity for face-to-face interactions, and either social anxiety or rejection sensitivity significantly predict progesterone change, but not cortisol change. Both interactions are driven by sharp progesterone decreases for women high in social anxiety/rejection sensitivity who have been rejected and who have no opportunity to reaffiliate in a face-to-face interaction. This progesterone change may be a physiological marker of motivation for social avoidance following rejection for women who cannot reaffiliate and who are particularly socially anxious or sensitive to rejection.

Toward socially inspired social neuroscience.

Social neuroscience, often viewed as studying the neural foundations of social cognition, has roots in multiple disciplines. This paper argues that it needs a firmer base in social psychology. First, we outline some major opportunities from social psychology--the power of social context and social motives in shaping human behavior. Second, as the social cognition field moves away from studying only deliberate, explicit processes to studying also automatic, implicit processes, adopting a dual-process perspective, social neuroscience also lends itself to both automatic and controlled processes. Finally, social neuroscience is especially suited to study the efficiency and spontaneity of social judgments. All this brings social behavioral grounding to cognitive neuroscience. Among the implications for social neuroscience: Social cognition intrinsically evokes affect, so social cognitive affective neuroscience glues together a variety of fields in psychological and neurosciences.

Disgust and biological descriptions bias logical reasoning during legal decision-making.

Legal decisions often require logical reasoning about the mental states of people who perform gruesome behaviors. We use functional magnetic resonance imaging (fMRI) to examine how brain regions implicated in logical reasoning are modulated by emotion and social cognition during legal decision-making. Participants read vignettes describing crimes that elicit strong or weak disgust matched on punishment severity using the US Federal Sentencing Guidelines. An extraneous sentence at the end of each vignette described the perpetrator's personality using traits or biological language, mimicking the increased use of scientific evidence presented in courts. Behavioral results indicate that crimes weak in disgust receive significantly less punishment than the guidelines recommend. Neuroimaging results indicate that brain regions active during logical reasoning respond less to crimes weak in disgust and biological descriptions of personality, demonstrating the impact of emotion and social cognition on logical reasoning mechanisms necessary for legal decision-making.

How social cognition can inform social decision making.

Social decision-making is often complex, requiring the decision-maker to make inferences of others' mental states in addition to engaging traditional decision-making processes like valuation and reward processing. A growing body of research in neuroeconomics has examined decision-making involving social and non-social stimuli to explore activity in brain regions such as the striatum and prefrontal cortex, largely ignoring the power of the social context. Perhaps more complex processes may influence decision-making in social vs. non-social contexts. Years of social psychology and social neuroscience research have documented a multitude of processes (e.g., mental state inferences, impression formation, spontaneous trait inferences) that occur upon viewing another person. These processes rely on a network of brain regions including medial prefrontal cortex (MPFC), superior temporal sulcus (STS), temporal parietal junction, and precuneus among others. Undoubtedly, these social cognition processes affect social decision-making since mental state inferences occur spontaneously and automatically. Few studies have looked at how these social inference processes affect decision-making in a social context despite the capability of these inferences to serve as predictions that can guide future decision-making. Here we review and integrate the person perception and decision-making literatures to understand how social cognition can inform the study of social decision-making in a way that is consistent with both literatures. We identify gaps in both literatures-while behavioral economics largely ignores social processes that spontaneously occur upon viewing another person, social psychology has largely failed to talk about the implications of social cognition processes in an economic decision-making context-and examine the benefits of integrating social psychological theory with behavioral economic theory.

Durable effects of cognitive restructuring on conditioned fear.

Studies of cognitive reappraisal have demonstrated that reinterpreting a stimulus can alter emotional responding, yet few studies have examined the durable effects associated with reinterpretation-based emotion regulation strategies. Evidence for the enduring effects of emotion regulation may be found in clinical studies that use cognitive restructuring (CR) techniques in cognitive-behavioral therapy (CBT) to alleviate anxiety. These techniques are based on cognitive theories of anxiety that suggest these disorders arise from biased cognitions; therefore, changing a person's thoughts will elicit durable changes in an individual's emotional responses. Despite the considerable success of CBT for anxiety disorders, durable effects associated with emotion regulation have not been thoroughly examined in the context of a laboratory paradigm. The goal of this study was to determine whether CR, a technique used in CBT and similar to cognitive reappraisal, could attenuate conditioned fear responses, and whether the effect would persist over time (24 hr). We conditioned participants using images of snakes or spiders that were occasionally paired with a mild shock to the wrist while we obtained subjective fear reports and electrodermal activity (EDA). After conditioning, half of the participants were randomly assigned to CR training aimed at decreasing their emotional response to the shock and the conditioned stimuli, while the other half received no such training. All participants returned 24 hr later to repeat the conditioning session. Compared with control participants, CR participants demonstrated a reduction in fear and EDA across sessions. These findings suggest that CR has durable effects on fear responding.