It takes two: the interpersonal nature of empathic accuracy

What is a compassionate face? Avoided negative affect explains differences between U.S. Americans and Chinese

While a compassionate face for Germans mirrors others' suffering, for U.S. Americans, a compassionate face is one that expresses a slight smile, partly because U.S. Americans want to avoid feeling negative ("avoided negative affect"; ANA) more than do Germans. The present work examines what people in a non-WEIRD (i.e. Chinese) cultural context think a compassionate face looks like. Additionally, it investigates whether an individually-measured cultural variable (i.e. ANA) can explain differences in conceptualisations of compassion between Chinese and U.S. Americans. Participants in China and the U.S. selected the face that most resembles a compassionate face in a reverse correlation task and completed a measure of ANA. As predicted, Chinese mental representations of a compassionate face included more sadness and less happiness compared to U.S. American mental representations of a compassionate face, and Chinese participants wanted to avoid feeling negative less than did U.S. Americans. Finally, ANA mediated the cultural differences in conceptualisations of compassion. We discuss how ANA and conceptualisations of compassion might be related to how people view the experience versus the expression of different emotions. This work has important implications for therapeutic settings and the meaning of compassion in an increasingly globalised and connected world.

Aberrant cognitive empathy in individuals with elevated social anxiety and regulation with emotional working memory training

Social anxiety may disrupt the empathic process, and well-regulated empathy is critical for navigating the social world. Two studies aimed to further understand empathy in the context of social anxiety. Study 1 compared individuals with elevated or normative social anxiety on a measure assessing cognitive and affective empathy for positive and negative emotions conveyed by other people ("targets"), completed under social threat. Relative to individuals with normative social anxiety, individuals with elevated social anxiety had greater cognitive empathy and no differences in affective empathy, regardless of emotion type. As greater cognitive empathy can be maladaptive, Study 2 tested whether this could be down-regulated. Individuals with elevated social anxiety underwent emotional working memory training (eWMT) for negative emotional information, or control training (CT). Effects on an empathy measure completed under social threat were assessed. Cognitive empathy for negative emotions decreased following eWMT but not CT, and this was only evident for those with higher pre-training working memory capacity. Cognitive empathy for positive emotions and affective empathy were not affected. Overall, social anxiety is associated with aberrant elevated cognitive empathy for negative and positive emotions, and the deviation in cognitive empathy for negative emotions can be regulated with eWMT for certain individuals.Trial registration: Australian New Zealand Clinical Trials Registry identifier: ACTRN12618001196235..

Do you feel me? Autism, empathic accuracy and the double empathy problem

LAY ABSTRACT

The assumption that autistic people lack empathy, particularly imagining how others feel, has been much debated and is now being challenged by an alternative view: the 'double empathy problem'. This suggests that non-autistic people may find it equally difficult to imagine how autistic people feel. Although this perspective is gaining popularity, research testing whether non-autistic people can accurately imagine and feel an autistic person's emotions is still limited. Our study used video clips of autistic and non-autistic people recounting emotional events to test if participants from the general population could: track the intensity of the narrators' emotions; name and feel the same emotion; match where the narrator felt the emotion and indicate how intensely they felt the emotion using a body map. Our results show that participants found it significantly harder to track autistic narrators' emotions compared to non-autistic narrator's emotions, especially when viewing clips of narrators feeling happy and sad. We also found that participants felt emotions more intensely in the body when viewing clips of autistic narrators compared to non-autistic narrators, especially when describing anger and fear. These findings support the double empathy problem and have strong implications for therapeutic and interpersonal relationships with autistic people.

Associations between alcohol consumption and empathy in a non-clinical sample: drinking motives as a moderator

People consume alcohol for multiple reasons. Negative motives are often associated with alcohol-related problems. These problems might be explained by negative effects of high alcohol consumption on empathy. Past studies have associated alcohol use disorder (AUD) with reduced cognitive and affective empathy. Few studies have focused on non-clinical samples and considered behavioral empathy. We examined the links between alcohol consumption and multiple aspects of empathy, and if these links were moderated by negative drinking motives. We collected online data of 520 unselected individuals. All completed the AUD Identification Test (AUDIT) and a Drinking Motives Questionnaire. Affective and cognitive empathy were assessed using the Empathy Quotient. Behavioral empathy was assessed by asking participants how likely they would help the person in each of 24 scenarios involving pain. Helping others in pain was positively predicted by affective and cognitive empathy. Higher AUDIT scores were associated with helping others less, particularly among participants who scored higher on drinking to cope with negative affect. People who drink more and do so to cope with negative affect appear to have less behavioral empathy. This supports the view that negative drinking motives contribute to AUD risk.

Dynamic and/or multimodal assessments for social cognition in neuropsychology: Results from a systematic literature review

Objective: Despite the prevalence of socio-cognitive disturbances, and their important diagnostic/therapeutic implications, the assessment of these disturbances remains scarce. This systematic review aims to identify available social cognition tools for adult assessment that use multimodal and/or dynamic social cues, specifying their strengths and limitations (e.g. from a methodological, psychometric, ecological, and clinical perspective). Method: An electronic search was conducted in Pubmed, PsychINFO, Embase and Scopus databases for articles published up to the 3th of January 2023 and the first 200 Google Scholar results on the same date. The PRISMA methodology was applied, 3884 studies were screened based on title and abstract and 329 full texts were screened. Articles using pseudo-dynamic methodologies (e.g. morphing), reported only subjective or self-reported measures, or investigated only physiological or brain activity responses were excluded. Results: In total, 149 works were included in this review, representing 65 assessment tools (i.e. 48% studying emotion recognition (n = 31), 32% Theory of Mind (n = 21), 5% empathy (n = 3), 1.5% moral cognition/social reasoning (n = 1), and 14% being multimodal (n = 9)). For each study, the tool's main characteristics, psychometric properties, ecological validity indicators and available norms are reported. The tools are presented according to social-cognitive process assessed and communication channels used. Conclusions: This study highlights the lack of validated and standardized tools. A few tools appear to partially meet some clinical needs. The development of methodologies using a first-person paradigm and taking into account the multidimensional nature of social cognition seems a relevant research endeavour for greater ecological validity.

Empathic accuracy in individuals with schizotypal personality traits

Empirical research using the Empathic Accuracy Task (EAT) has suggested that schizophrenia patients and people with schizotypal personality disorder exhibit lower empathic accuracy than healthy people. However, empathic accuracy in a subclinical sample with high levels of schizotypy has seldom been studied. Our study aimed to investigate empathy in a subclinical sample using the Chinese version of the EAT and a self-report empathy measure. Forty participants with high levels of schizotypy (HS participants) and 40 with low levels of schizotypy (LS participants), as measured by the Schizotypal Personality Questionnaire (SPQ), were recruited. All participants completed the Chinese version of the EAT and the self-report Questionnaire of Cognitive and Affective Empathy. Empathic accuracy (EA) scores and the intra-individual variability of EA scores were calculated. Independent samples t tests and Pearson correlation analyses were performed to examine group differences in empathy and the relationship between empathy and schizotypy respectively. HS participants exhibited reduced EA for both positive and negative videos, and larger intra-individual variability of EA for negative videos than LS participants. However, HS and LS participants did not differ in self-report cognitive empathy. Moreover, the interpersonal dimension of the SPQ was negatively correlated with EAT performance and self-report cognitive empathy in LS participants. Individuals with HS show poorer performance-based EA but relatively intact self-report cognitive empathy. This study provides empirical evidence for the ontogeny of empathy deficits in subclinical populations at risk of developing schizophrenia, supporting early interventions for social cognitive deficits.

Social anxiety is associated with personal distress and disrupted recognition of negative emotions

Past research investigating the relation between social anxiety (SA), empathy and emotion recognition is marked by conceptual and methodological issues. In the present study, we aim to overcome these limitations by examining whether individuals with high (n = 40) vs. low (n = 43) social anxiety differed across these two facets of empathy and whether this could be related to their recognition of emotions. We employed a naturalistic emotion recognition paradigm in which participants watched short videos of individuals (targets) sharing authentic emotional experiences. After each video, we measured self-reported empathic concern and distress, as well as their ability to recognize the emotions expressed by the targets in the videos. Our results show that individuals with high social anxiety recognized the targets' emotions less accurately. Furthermore, high socially anxious individuals reported more personal distress than low socially anxious individuals, whereas no significant difference was found for empathic concern. The findings suggest that reduced recognition of emotions among SA individuals can be better explained by the negative effects of social stress than by a general deficit in empathy.

Exploring Actual and Presumed Links between Accurately Inferring Contents of Other People's Minds and Prosocial Outcomes

The term "empathic accuracy" has been applied to people's ability to infer the contents of other people's minds-that is, other people's varying feelings and/or thoughts over the course of a social interaction. However, despite the ease of intuitively linking this skill to competence in helping professions such as counseling, the "empathic" prefix in its name may have contributed to overestimating its association with prosocial traits and behaviors. Accuracy in reading others' thoughts and feelings, like many other skills, can be used toward prosocial-but also malevolent or morally neutral-ends. Prosocial intentions can direct attention towards other people's thoughts and feelings, which may, in turn, increase accuracy in inferring those thoughts and feelings, but attention to others' thoughts and feelings does not necessarily heighten prosocial intentions, let alone outcomes.

The Association Between Emotional Expressions and Empathic Accuracy

Empathic accuracy, the ability to accurately represent and understand another's emotional state, is integral to socio-emotional functioning. It is also inherently an interpersonal process that requires active engagement of the emotional systems of both interaction partners. The emotional expressivity of the partner sharing their emotions restricts empathic accuracy and the perceiver's emotional expressivity might also affect empathic accuracy as they behaviorally simulate and thus share the emotions they see in the other's face. We explored a potential role of emotional expressivity in people's ability to understand another's emotions in a face-to-face dyadic interaction. Participants took turns sharing emotional experiences while their facial expressions were recorded. They then watched the recordings while continuously rating their own and their partner's affect at any given point during the recording. Empathic accuracy was indexed as the epoch by-epoch emotion change detection. We found that emotional expressivity of the listener, but not of the partner, was associated with increased empathic accuracy, even when controlling for partner's expressivity. Our findings highlight the active role the person empathizing takes in face-to-face emotional sharing.

Emotional event perception is related to lexical complexity and emotion knowledge

Inferring emotion is a critical skill that supports social functioning. Emotion inferences are typically studied in simplistic paradigms by asking people to categorize isolated and static cues like frowning faces. Yet emotions are complex events that unfold over time. Here, across three samples (Study 1 N = 222; Study 2 N = 261; Study 3 N = 101), we present the Emotion Segmentation Paradigm to examine inferences about complex emotional events by extending cognitive paradigms examining event perception. Participants were asked to indicate when there were changes in the emotions of target individuals within continuous streams of activity in narrative film (Study 1) and documentary clips (Study 2, preregistered, and Study 3 test-retest sample). This Emotion Segmentation Paradigm revealed robust and reliable individual differences across multiple metrics. We also tested the constructionist prediction that emotion labels constrain emotion inference, which is traditionally studied by introducing emotion labels. We demonstrate that individual differences in active emotion vocabulary (i.e., readily accessible emotion words) correlate with emotion segmentation performance.

Shared Hearts and Minds: Physiological Synchrony During Empathy

Empathy is a multidimensional construct that includes changes in cognitive, affective, and physiological processes. However, the physiological processes that contribute to empathic responding have received far less empirical attention. Here, we investigated whether physiological synchrony emerged during an empathy-inducing activity in which individuals disclosed a time of suffering while their romantic partner listened and responded (N = 111 couples). Further, we examined the extent to which trait and state measures of cognitive and affective empathy were associated with each other and with physiological synchrony during this activity. We found evidence for physiological synchrony in skin conductance reactivity and also in interbeat interval reactivity, though only when disclosers were women, but not for respiratory sinus arrhythmia reactivity. Physiological synchrony was not consistently associated with other well-established trait and state measures of empathy. These findings identify the nuanced role of physiological synchrony in empathic responding to others' suffering.

Supplementary Information

The online version contains supplementary material available at 10.1007/s42761-023-00210-4.

Mood congruency affects physiological synchrony but not empathic accuracy in a naturalistic empathy task

Empathy is a crucial aspect of our daily lives, as it enhances our wellbeing and is a proxy for prosocial behavior. It encompasses two related but partially distinct components: cognitive and affective empathy. Both are susceptible to context, biases and an individual's physiological state. Few studies have explored the effects of a person's mood on these empathy components, and results are mixed. The current study takes advantage of an ecological, naturalistic empathy task - the empathic accuracy (EA) task - in combination with physiological measurements to examine and differentiate between the effects of one's mood on both empathy components. Participants were induced with positive or negative mood and presented videos of targets narrating autobiographical negative stories, selected from a Chinese empathy dataset that we developed (now publicly available). The stories were conveyed in audio-only, visual-only and full-video formats. Participants rated the target's emotional state while watching or listening to their stories, and physiological measures were taken throughout the process. Importantly, similar measures were taken from the targets when they narrated the stories, allowing a comparison between participants' and targets' measures. We found that in audio-only and visual-only conditions, participants whose moods were congruent with the target showed higher physiological synchrony than those with incongruent mood, implying a mood-congruency effect on affective empathy. However, there was no mood effect on empathic accuracy (reflecting cognitive empathy), suggesting a different influence of mood on the two empathy components.

Perspective-Taking and Perspective-Sharing in Pediatric Education: Exploring Connections Between Strategies of Medical Students and Patients' Caregivers

Introduction

In pediatric education, caregivers are increasingly involved to share their perspective. Yet, an in-depth understanding of the perspective-taking process between medical students and caregivers is lacking. This study explored: 1) Which strategies do medical students use to take a caregiver's perspective and which facilitators and constraints do they perceive? 2) Which strategies do caregivers use to share their perspective with students? and 3) How do students' perspective-taking strategies relate to caregivers' perspective-sharing strategies?

Methods

In an online lesson: two caregivers of pediatric patients, shared their story with 27 fourth-year Dutch medical students. After the session, students undertook an assignment where they individually reflected on how they took perspective. Students' reflections were collected via audio recordings. Caregivers were individually interviewed. Data were analyzed through thematic and cross-case analysis.

Results

Students used eight perspective-taking strategies, in various combinations. Students used inferential strategies, where they made inferences from available information, and cultivating strategies, where they attempted to elicit more information about the caregiver. Students perceived individual-, contextual- and caregiver-related facilitators and constraints for taking perspective. Caregivers shared their perspective by adopting multiple strategies to share their story and create a trusting learning environment. We visualized connections between students' perspective-taking strategies, facilitators/constraints, and caregivers' perspective-sharing strategies.

Discussion

By combining data from both perspective-takers (students) and perspective-sharers (caregivers), this study provides a foundation for future research to study perspective-taking between students and patients in an educational context. On a practical level, our findings provide tools for students, patients, and educators to enhance perspective-taking processes.

Feeling understood and appreciated in relationships: Where do these perceptions come from and why do they matter?

Perceptions of romantic partners (even inaccurate perceptions) are important determinants of initial liking and long-term relationship satisfaction. In the current article, we consider the role of perceptions in romantic relationships through the lens of felt understanding and appreciation. We first examine where perceptions of feeling understood and appreciated come from, considering partner, self, and dyadic influences. We then examine how feeling understood and appreciated shape relationship quality, focusing on these perceptions as buffers of negative relationship experiences and mechanisms through which couples can create positive upward cycles of responsiveness and appreciation. Finally, we theorize about the unique dyadic experience of feeling understood and appreciated, positing that moments of mutual understanding and appreciation play a critical role in increasing social connection.

Partner similarity and social cognitive traits predict social interaction success among strangers

Social interactions are a ubiquitous part of engaging in the world around us, and determining what makes an interaction successful is necessary for social well-being. This study examined the separate contributions of individual social cognitive ability and partner similarity to social interaction success among strangers, measured by a cooperative communication task and self-reported interaction quality. Sixty participants engaged in a 1-h virtual social interaction with an unfamiliar partner (a laboratory confederate) including a 30-min cooperative 'mind-reading' game and then completed several individual tasks and surveys. They then underwent a separate functional MRI session in which they passively viewed video clips that varied in content. The neural responses to these videos were correlated with those of their confederate interaction partners to yield a measure of pairwise neural similarity. We found that trait empathy (assessed by the interpersonal reactivity index) and neural similarity to partner both predicted communication success in the mind-reading game. In contrast, perceived similarity to partner and (to a much lesser extent) trait mind-reading motivation predicted self-reported interaction quality. These results highlight the importance of sharing perspectives in successful communication as well as differences between neurobiological similarity and perceived similarity in supporting different types of interaction success.

Effects of social presence on behavioral, neural, and physiological aspects of empathy for pain

In mediated interactions (e.g. video calls), less information is available about the other. To investigate how this affects our empathy for one another, we conducted an electroencephalogram study, in which 30 human participants observed 1 of 5 targets undergoing painful electric stimulation, once in a direct interaction and once in a live, video-mediated interaction. We found that observers were as accurate in judging others' pain and showed as much affective empathy via video as in a direct encounter. While mu suppression, a common neural marker of empathy, was not sensitive to others' pain, theta responses to others' pain as well as skin conductance coupling between participants were reduced in the video-mediated condition. We conclude that physical proximity with its rich social cues is important for nuanced physiological resonance with the other's experience. More studies are warranted to confirm these results and to understand their behavioral significance for remote social interactions.

A, Srivastava P. Empathic Accuracy Task: Indian Adaptation and Validation

Background

The Empathic Accuracy Task (EAT) is an objective measure to assess empathic accuracy. Due to the variability in the number and linked emotions of the narrated events, we adapted EAT for the Indian sociocultural setting as Indian EAT (I-EAT).

Methods

Eight videos were adapted in three languages (English, Hindi, and Kannada), narrating emotional events with a uniform representation of age groups, different emotions, and sex. The adapted I-EAT was then validated by cross-sectional comparison with different tests similar to EAT and those that assessed concepts different from or similar to empathy, in 29 healthy young adults, 23 healthy older adults (aged ≥60 years) along with clinical groups of 15 young people with depression, 15 older people with depression, and 15 young people with schizophrenia.

Results

We selected eight videos with good content validity and internal consistency (Cronbach's alpha = 0.73. We obtained satisfactory concurrent validity of the EAT scores with the self-reported empathic assessments using the Questionnaire of Cognitive and Affective Empathy (Cognitive empathy score = 0.29, p = .034; Total score = 0.29, p = .035) and Interpersonal Reactivity Index (Empathic concern score = 0.45, p = .001). Good divergent validity was revealed in the high inverse correlation recorded with the Apathy Evaluation Scale ( = -0.67, p < .001). I-EAT did not correlate significantly with measures of social cognition. Known-groups validity was adequate in young adults with the significantly lower EAT scores (Cohen's d: 0.77 to 1.15) in the Schizophrenia group and higher EAT-N scores (Cohen's d: 0.51) in the Depression group, compared to the Healthy group. The Healthy group of the geriatric population also achieved significantly higher EAT scores (Cohen's d: 0.71 to 0.85) than the Depression group.

Conclusion

With a good validity and internal consistency, I-EAT can be used in the Indian population to assess empathic accuracy without compromising performance of the original EAT.

How nervous am I? How computer vision succeeds and humans fail in interpreting state anxiety from dynamic facial behaviour

For human interaction, it is important to understand what emotional state others are in. Especially the observation of faces aids us in putting behaviours into context and gives insight into emotions and mental states of others. Detecting whether someone is nervous, a form of state anxiety, is such an example as it reveals a person's familiarity and contentment with the circumstances. With recent developments in computer vision we developed behavioural nervousness models to show which time-varying facial cues reveal whether someone is nervous in an interview setting. The facial changes, reflecting a state of anxiety, led to more visual exposure and less chemosensory (taste and olfaction) exposure. However, experienced observers had difficulty picking up these changes and failed to detect nervousness levels accurately therewith. This study highlights humans' limited capacity in determining complex emotional states but at the same time provides an automated model that can assist us in achieving fair assessments of so far unexplored emotional states.

A Bayesian Network Approach to Social and Nonsocial Cognition in Schizophrenia: Are Some Domains More Fundamental than Others?

OBJECTIVES

Social and nonsocial cognition are defined as distinct yet related constructs. However, the relative independence of individual variables-and whether specific tasks directly depend on performance in other tasks-is still unclear. The current study aimed to answer this question by using a Bayesian network approach to explore directional dependencies among social and nonsocial cognitive domains.

STUDY DESIGN

The study sample comprised 173 participants with schizophrenia (71.7% male; 28.3% female). Participants completed 5 social cognitive tasks and the MATRICS Consensus Cognitive Battery. We estimated Bayesian networks using directed acyclic graph structures to examine directional dependencies among the variables.

STUDY RESULTS

After accounting for negative symptoms and demographic variables, including age and sex, all nonsocial cognitive variables depended on processing speed. More specifically, attention, verbal memory, and reasoning and problem solving solely depended on processing speed, while a causal chain emerged between processing speed and visual memory (processing speed → attention → working memory → visual memory). Social processing variables within social cognition, including emotion in biological motion and empathic accuracy, depended on facial affect identification.

CONCLUSIONS

These results suggest that processing speed and facial affect identification are fundamental domains of nonsocial and social cognition, respectively. We outline how these findings could potentially help guide specific interventions that aim to improve social and nonsocial cognition in people with schizophrenia.

Emotion recognition accuracy only weakly predicts empathic accuracy in a standard paradigm and in real life interactions

The relationship between decoding ability (Emotion recognition accuracy, ERA) for negative and positive emotion expressions from only video, only audio and audio-video stimuli and the skill to understand peoples' unspoken thoughts and feelings (Empathic accuracy, EA) was tested. Participants (N = 101) from three groups (helping professionals with and without therapy training as well as non-helping professionals) saw or heard recordings of narrations of a negative event by four different persons. Based on either audio-video or audio-only recordings, the participants indicated for given time points what they thought the narrator was feeling and thinking while speaking about the event. A Bayesian regression model regressing group and ERA scores on EA scores was showing weak support only for the EA scores for ratings of unspoken feelings from audio only recordings. In a subsample, the quality of self-experienced social interactions in everyday life was assessed with a diary. The analysis of ERA and EA scores in relation to diary scores did not indicate much correspondence. The results are discussed in terms of relations between skills in decoding emotions using different test paradigms and contextual factors.

Empathy across cultures - one size does not fit all: from the ego-logical to the eco-logical of relational empathy

Empathy is extolled in Western healthcare and medical education as an exemplary quality to cultivate in trainees and providers. Yet it remains an elusive and inadequately understood attribute. It posits a "one size fits all" unidimensional attribute applicable across contexts with scant attention given to its multifaceted dimensions in intercultural contexts. In this article, we uncloak the shortcomings of this conventional empathy in intercultural settings, and instead propound an expanded "relational empathy".

Empathic Accuracy and Shared Depressive Symptoms in Close Relationships

Empathic accuracy, the ability to accurately understand others' emotions, is typically viewed as beneficial for mental health. However, empathic accuracy may be problematic when a close relational partner is depressed because it promotes shared depression. Across two studies, we measured empathic accuracy using laboratory tasks that capture the ability to rate others' emotional valence accurately over time: first, in a sample of 156 neurotypical married couples (Study 1; Total N=312), and then in a sample of 102 informal caregivers of individuals with dementia (Study 2). Across both studies, the association between empathic accuracy and depressive symptoms varied as a function of a partner's level of depressive symptoms. Greater empathic accuracy was associated with (a) fewer depressive symptoms when a partner lacked depressive symptoms, but (b) more depressive symptoms when a partner had high levels of depressive symptoms. Accurately detecting changes in others' emotional valence may underpin shared depressive symptoms.

Altered empathy correlates with reduced social and non-social reward anticipation in individuals with high social anhedonia

This study examined the correlations of affective and cognitive components of empathy with reward anticipation toward monetary and social incentives in individuals with social anhedonia (SocAnh). According to the scores on the Revised Social Anhedonia Scale, 109 participants were divided into high (n = 57) and low (n = 52) SocAnh groups. Empathy was assessed with the Questionnaire of Cognitive and Affective Empathy (QCAE) and the Interpersonal Reactivity Index (IRI) Scale. Social and non-social reward anticipations were assessed by the Social and Monetary Incentive Delay Tasks, respectively. We performed independent-sample t tests and repeated-measures ANOVAs to examine the group differences on empathy and reward anticipation. Correlation analyses between empathy and reward anticipation were conducted. Results showed that the high SocAnh group reported reduced scores on empathy and reward anticipation for monetary and social incentives compared to their low SocAnh counterparts. Correlation analysis further indicated that monetary reward anticipation correlated with cognitive empathy, while social reward anticipation correlated with affective empathy. Our findings suggested that participants with high SocAnh exhibited poorer empathy and reduced reward anticipation than those with low SocAnh level. More importantly, social and non-social reward anticipation may distinctly contribute to affective and cognitive components of empathy.

The association between acute stress & empathy: A systematic literature review

Empathy is a fundamental component of our social-emotional experience. Over the last decade, there has been increased interest in understanding the effects of acute stress on empathy. We provide a first comprehensive-and systematic-overview identifying emerging patterns and gaps in this literature. Regarding affective empathy, there is abundant evidence for stress contagion-the 'spillover' of stress from a stressed target to an unstressed perceiver. We highlight contextual factors that can facilitate and/or undermine these effects. Fewer studies have investigated the effects of acute stress on affective empathy, revealing a nuanced picture, some evidence suggests acute stress can block contagion of other's emotions; but again contextual differences need to be considered. Regarding cognitive empathy, most studies find no conclusive effects for simplistic measures of emotion recognition; however, studies using more complex empathy tasks find that acute stress might affect cognitive empathy differentially for men and women. This review provides an important first step towards understanding how acute stress can impact social-togetherness, and aims to aid future research by highlighting (in)congruencies and outstanding questions.

The relationship between dimensions of empathy and symptoms of depression among university students during the COVID-19 pandemic: A network analysis

Background

The relationship between different dimensions of empathy and individual symptoms of depression during the COVID-19 pandemic remains unclear, despite the established link between empathy and depression. The network analysis offers a novel framework for visualizing the association between empathy and depression as a complex system consisting of interacting nodes. In this study, we investigated the nuanced associations between different dimensions of empathy and individual symptoms of depression using a network model during the pandemic.

Methods

1,177 students completed the Chinese version of the Interpersonal Reactivity Index (IRI), measuring dimensions of empathy, and the Chinese version of the Patient Health Questionnaire-9 (PHQ-9), measuring symptoms of depression. First, we investigated the nuanced associations between different dimensions of empathy and individual depressive symptoms. Then, we calculated the bridge expected influence to examine how different dimensions of empathy may activate or deactivate the symptoms of depression cluster. Finally, we conducted a network comparison test to explore whether network characteristics such as empathy-depression edges and bridge nodes differed between genders.

Results

First, our findings showed that personal distress was positively linked to symptoms of depression. These symptoms involved psychomotor agitation or retardation (edge weight = 0.18), sad mood (edge weight = 0.12), trouble with concentrating (edge weight = 0.11), and guilt (edge weight = 0.10). Perspective-taking was found to be negatively correlated with trouble with concentrating (edge weight = -0.11). Empathic concern was negatively associated with suicidal thoughts (edge weight = -0.10) and psychomotor agitation or retardation (edge weight = -0.08). Fantasy was not connected with any symptoms of depression. Second, personal distress and empathic concern were the most positive and negative influential nodes that bridged empathy and depression (values of bridge expected influence were 0.51 and -0.19 and values of predictability were 0.24 and 0.24, respectively). The estimates of the bridge expected influence on the nodes were adequately stable (correlation stability coefficient = 0.75). Finally, no sex differences in the studied network characteristics were observed.

Conclusions

This study applied network analysis to reveal potential pathways between different dimensions of empathy and individual symptoms of depression. The findings supported the existing theoretical system and contribute to the theoretical mechanism. We have also made efforts to suggest interventions and preventions based on personal distress and empathic concern, the two most important dimensions of empathy for depressive symptoms. These efforts may help Chinese university students to adopt better practical methods to overcome symptoms of depression during the COVID-19 pandemic.

Examining Unique Associations of Social Anxiety and Depression on Behaviorally Assessed Affective Empathy

A growing body of research suggests that cognitive empathy (i.e., understanding other people’s mental states) may be impaired in socially anxious and depressed individuals. However, few studies have examined whether affective empathy (i.e., sharing other people’s emotional states, referred to as “affect sharing”) may likewise be impaired in either form of psychopathology. In Study 1 ( n = 202), we examined the unique association between social anxiety (or depression) and affect sharing and the moderating role of anhedonia and stimuli valence above and beyond depression (or social anxiety). No main or interaction effects were found for social anxiety or depression in the prediction of affect sharing. In Study 2, we conducted a direct replication of Study 1 with a larger sample ( n = 324), which confirmed our findings from Study 1. Thus, the unique effects of social anxiety and depression may be more related to difficulties in cognitive, rather than affective, empathic processes.

Effects of emotional valence and intensity on cognitive and affective empathy after insula lesions

The insula plays a central role in empathy. However, the complex structure of cognitive (CE) and affective empathy (AE) deficits following insular damage is not fully understood. In the present study, patients with insular lesions (n = 20) and demographically matched healthy controls (n = 24) viewed ecologically valid videos that varied in terms of valence and emotional intensity. The videos showed a person (target) narrating a personal life event. In CE conditions, subjects continuously rated the affective state of the target, while in AE conditions, they continuously rated their own affect. Mean squared error (MSE) assessed deviations between subject and target ratings. Patients differed from controls only in negative, low-intensity AE, rating their own affective state less negative than the target. This deficit was not related to trait empathy, neuropsychological or clinical parameters, or laterality of lesion. Empathic functions may be widely spared after insular damage in a naturalistic, dynamic setting, potentially due to the intact interpretation of social context by residual networks outside the lesion. The particular role of the insula in AE for negative states may evolve specifically in situations that bear higher uncertainty pointing to a threshold role of the insula in online ratings of AE.

Stress and Stress-Induced Glucocorticoids Facilitate Empathic Accuracy in Men but Have No Effects for Women

Empathy, the ability to understand the feelings of other people, is critical for navigating our social world and maintaining social connections. Given that acute stress, and resulting increased glucocorticoids, triggers a shift in two large-scale brain networks, prioritizing salience over executive control, we predicted that acute psychosocial stress would facilitate empathic accuracy. We also investigated the moderating role of gender, given that men typically show a more robust glucocorticoid response to acute stress than women. As predicted, results from two independent experiments ( N = 267 college-age participants; 2,256 observations) showed that acute psychosocial stress facilitated empathic accuracy for men, an effect related to their glucocorticoid response in the stress condition. Conversely, psychosocial stress had no effect on empathic accuracy for women, who also showed a smaller cortisol response to stress than men. Exploratory analyses further revealed that women taking oral contraceptives performed worse on the empathic-accuracy task than regularly cycling women. This research highlights the important, but complex, role of stress in cognitive empathy.

Social anxiety and behavioral assessments of social cognition: A systematic review

BACKGROUND

Social anxiety is highly prevalent and has increased in young adults during the COVID-19 pandemic. Since social anxiety negatively impacts interpersonal functioning, identifying aspects of social cognition that may be impaired can increase our understanding of the development and maintenance of social anxiety disorder. However, to date, studies examining associations between social anxiety and social cognition have resulted in mixed findings.

METHODS

The aim of this systematic review was to summarize the literature on the association between social anxiety and social cognition, while also considering several potential moderators and covariates that may influence findings.

RESULTS

A systematic search identified 52 studies. Results showed mixed evidence for the association between social anxiety and lower-level social cognitive processes (emotion recognition and affect sharing) and a trend for a negative association with higher-level social cognitive processes (theory of mind and empathic accuracy). Most studies examining valence-specific effects found a significant negative association for positive and neutral stimuli.

LIMITATIONS

Not all aspects of social cognition were included (e.g., attributional bias) and we focused on adults and not children, limiting the scope of the review.

CONCLUSIONS

Future studies would benefit from the inclusion of relevant moderators and covariates, multiple well-validated measures within the same domain of social cognition, and assessments of interpersonal functioning outside of the laboratory. Additional research examining the moderating role of attention or interpretation biases on social cognitive performance, and the potential benefit of social cognitive skills training for social anxiety, could inform and improve existing cognitive behavioral interventions.

Synchrony During Online Encounters Affects Social Affiliation and Theory of Mind but Not Empathy

Moving together in time affects human social affiliation and cognition. However, it is unclear whether these effects hold for on-line video meetings and whether they extend to empathy (understanding or sharing others' emotions) and theory of mind (ToM; attribution of mental states to others). 126 young adult participants met through online video in unacquainted pairs. Participants either performed 3 min of synchronous arm movements paced by sounds (n = 40), asynchronous movements (n = 46) or a small talk condition (n = 40). In a subsequent empathy task, participants engaged in a conversation. A video recording of this conversation was played back, and each participant rated, at predetermined time points, how they felt and how they thought their partner felt. From this we calculated empathic accuracy (accuracy of the estimation of the other's emotions) and emotional congruence (emotion sharing). ToM was measured by showing videos of geometrical shapes interacting and asking the participants to describe what happened, measuring the amount of intentionality. We found that participants in the synchrony condition rated feeling greater closeness and similarity to their partners relative to the asynchronous condition. Further, participants in the synchrony group tended to ascribe more intentionality to the abstract shapes than participants in asynchrony condition, suggesting greater ToM. Synchrony and asynchrony groups did not reliably differ in empathic accuracy nor emotional congruence. These results suggest that moving in synchrony has effects on social affiliation measures even in online encounters. These effects extend to ToM tendencies but not empathic accuracy or emotion sharing. These results highlight the potential of synchronous movement in online encounters to affect a subset of social cognition and affiliation measures.

Impaired empathic accuracy following damage to the left hemisphere

Failing to understand others accurately can be extremely costly. Unfortunately, events such as strokes can lead to a decline in emotional understanding. Such impairments have been documented in stroke patients and are widely hypothesized to be related to right-hemisphere lesions, as well as to the amygdala, and are thought to be driven in part by attentional biases, for example, less fixation on the eyes. Notably, most of the previous research relied on measurements of emotional understanding from simplified cues, such as facial expressions or prosody. We hypothesize that chronic damage to the left hemisphere could hinder empathic accuracy and emotion recognition in naturalistic social settings that require complex language comprehension, even after a patient regains core language capacities. To assess this notion, we use an empathic accuracy task and eye-tracking measurements with chronic stroke patients with either right (N = 13) or left (N = 11) hemispheric damage-together with aged-matched controls (N = 15)-to explore the patients' understanding of others' affect inferred from stimuli that separates audio and visual cues. While we find that patients with right-hemisphere lesions showed visual attention bias compared to the other two groups, we uncover a disadvantage for patients with left-hemisphere lesions in empathic accuracy, especially when only auditory cues are present. These results suggest that patients with left-hemisphere damage have long-lasting difficulties comprehending real-world complex emotional situations.

Empathy as a Flexible and Fundamentally Interpersonal Phenomenon: Comment on “Why we Should Reject the Restrictive Isomorphic Matching Definition of Empathy”

I strongly agree with the AUTHORS’ criticisms of the restrictive isomorphic (RIM) definition of empathy and largely agree with their conceptualization of empathy as a dynamic process best defined by its function. In this commentary, I extend this argument by emphasizing the relational, interpersonal aspects of empathy. It is my view that in order to understand the functions of empathy, we must take into account not only the internal experience of the individual empathizing, but also the individual (or group) whose perspective the empathizer is attempting to take. I highlight how the emotional needs of others are dynamic and require flexible adaptation and underscore the role of context in appreciating the function of empathy.

Mediating role of emotion regulation in the relationship between schizotypy and empathy

Schizotypy is a set of personality traits existing in the general population that represents vulnerability for developing psychosis. Previous studies have suggested that negative schizotypy correlates with empathy, but mixed results have been shown for positive schizotypy. The present study aimed to explore the potential mediating role of emotion regulation upon schizotypy and empathy. The valid sample consisted of 595 college students who completed the Interpersonal Reactivity Index, the Emotion Regulation Questionnaire, and the Chapman Psychosis Proneness Scales. Pearson correlations between schizotypy, emotion regulation, and empathy were performed to build potential mediating models. Structural equation modeling and bootstrap analyses were used to examine the mediation effects of emotion regulation. Our results showed that negative schizotypy was correlated with both cognitive and affective empathy whereas positive schizotypy only correlated with the Fantasy and Personal Distress subscales after multiple comparisons corrections. The Cognitive Reappraisal subscale of the Emotion Regulation Questionnaire was positively correlated with empathy whereas the Expressive Suppression subscale was negatively associated with affective empathy. More importantly, there was a significant mediating effect of cognitive reappraisal on the relationship between negative schizotypy and cognitive empathy. Our findings suggest that a higher level of negative schizotypy is associated with poorer cognitive and affective empathy, and cognitive reappraisal may mediate the effect of negative schizotypy on cognitive empathy. These findings highlight the optimal usage of cognitive reappraisal in social interactions, and may help to improve empathy, especially for individuals with a high level of negative schizotypy.

Empathy in Human-Robot Interaction: Designing for Social Robots

For a service robot to serve travelers at an airport or for a social robot to live with a human partner at home, it is vital for robots to possess the ability to empathize with human partners and express congruent emotions accordingly. We conducted a systematic review of the literature regarding empathy in interpersonal, virtual agents, and social robots research with inclusion criteria to analyze empirical studies in a peer-reviewed journal, conference proceeding, or a thesis. Based on the review, we define empathy for human–robot interaction (HRI) as the robot’s (observer) capability and process to recognize the human’s (target) emotional state, thoughts, and situation, and produce affective or cognitive responses to elicit a positive perception of humans. We reviewed all prominent empathy theories and established a conceptual framework that illuminates critical components to consider when designing an empathic robot, including the empathy process, outcome, and the observer and target characteristics. This model is complemented by empirical research involving empathic virtual agents and social robots. We suggest critical factors such as domain dependency, multi-modality, and empathy modulation to consider when designing, engineering, and researching empathic social robots.

Mu Rhythm Suppression Over Sensorimotor Regions is Associated with Greater Empathic Accuracy

When people encounter others’ emotions, they engage multiple brain systems, including parts of the sensorimotor cortex associated with motor simulation. Simulation-related brain activity is commonly described as a ‘low-level’ component of empathy and social cognition. It remains unclear whether and how sensorimotor simulation contributes to complex empathic judgments. Here, we combine a naturalistic social paradigm with a reliable index of sensorimotor cortex-based simulation: electroencephalography suppression of oscillatory activity in the mu frequency band. We recruited participants to watch naturalistic video clips of people (‘targets’) describing emotional life events. In two experiments, participants viewed these clips (i) with video and sound, (ii) with only video or (iii) with only sound and provided continuous ratings of how they believed the target felt. We operationalized ‘empathic accuracy’ as the correlation between participants’ inferences and targets’ self-report. In Experiment 1 (US sample), across all conditions, right-lateralized mu suppression tracked empathic accuracy. In Experiment 2 (Israeli sample), this replicated only when using individualized frequency-bands and only for the visual stimuli. Our results provide novel evidence that sensorimotor representations—as measured through mu suppression—play a role not only in low-level motor simulation, but also in higher-level inferences about others’ emotions, especially when visual cues are crucial for accuracy.

Adaptive Empathy: A Model for Learning Empathic Responses in Response to Feedback

Empathy is usually deployed in social interactions. Nevertheless, common measures and examinations of empathy study this construct in isolation from the person in distress. In this article we seek to extend the field of examination to include both empathizer and target to determine whether and how empathic responses are affected by feedback and learned through interaction. Building on computational approaches in feedback-based adaptations (e.g., no feedback, model-free and model-based learning), we propose a framework for understanding how empathic responses are learned on the basis of feedback. In this framework, adaptive empathy, defined as the ability to adapt one's empathic responses, is a central aspect of empathic skills and can provide a new dimension to the evaluation and investigation of empathy. By extending existing neural models of empathy, we suggest that adaptive empathy may be mediated by interactions between the neural circuits associated with valuation, shared distress, observation-execution, and mentalizing. Finally, we propose that adaptive empathy should be considered a prominent facet of empathic capabilities with the potential to explain empathic behavior in health and psychopathology.

Empathy in patient care: from 'Clinical Empathy' to 'Empathic Concern'

As empathy gains importance within academia, we propose this review as an attempt to bring clarity upon the diverse and widely debated definitions and conceptions of empathy within the medical field. In this paper, we first evaluate the limits of the Western mainstream medical culture and discuss the origins of phenomena such as dehumanization and detached concern as well as their impacts on patient care. We then pass on to a structured overview of the debate surrounding the notion of clinical empathy and its taxonomy in the medical setting. In particular, we present the dichotomous conception of clinical empathy that is articulated in the debate around cognitive empathy and affective empathy. We thus consider the negative impacts that this categorization brings about. Finally, we advocate for a more encompassing, holistic conception of clinical empathy; one that gives value to a genuine interest in welcoming, acknowledging and responding to the emotions of those suffering. Following this line of reasoning, we advance the notion of 'empathic concern', a re-conceptualization of clinical empathy that finds its source in Halpern in Med Health Care Philos (2014) 17:301-311 engaged curiosity. We ultimately advance Narrative Medicine as an approach to introduce, teach and promote such an attitude among medical trainees and practitioners.

Empathic accuracy and interpersonal coordination: behavior matching can enhance accuracy but interactional synchrony may not

The study considered two major facets of interpersonal coordination, namely, behavior matching (posture mirroring) and interactional synchrony, and investigated whether interpersonal coordination enhanced empathic accuracy. Interactional synchrony was further classified into simultaneous movement and interaction rhythms. Participants engaged in an eight-minute conversation with a same-gender unacquainted partner and an empathic accuracy task. Each participant viewed the interaction video and reported their thoughts and feelings at pre-determined points of time. Afterward, they rewatched the video and inferred the thoughts and feelings of their partners. The study employed OpenPose, 2D pose estimation software of human body, to quantify posture and bodily movement, which were used to determine coordination. The results indicated that behavior matching was positively associated with empathic accuracy, whereas rhythmic convergence in synchrony was negatively associated with accuracy in female dyads. The additional analysis explored the temporal relationship between coordination and accuracy, which indicated a cause-effect tendency during interactions.

Victims of Bullying: Emotion Recognition and Understanding

Introduction: Victims of bullying often show interpersonal problems, such as having less high-quality interpersonal relationships compared to non-involved individuals. Research suggests that interpersonal struggles are associated with diminished emotional intelligence and competence and can lead to mental health problems such as depression. Therefore, we examined emotion recognition abilities, empathic accuracy, and behavioral responses to emotions in bullying victims and non-involved individuals. Based on previous research, we expected victims to show diminished skills in all three domains. Methods: Adolescents (Mage=17years; 67% female; no "other" gender participants) with (N=24) and without (N=21) a self-reported history of bullying victimization in high school completed a Virtual Reality facial emotion recognition task (ERT-VR), an empathic accuracy task (EAT) using videos of people recounting real-life autobiographical events, and a computer task in which they indicated their likely behavioral responses to facial emotions. Results: The two groups only significantly differed in recognizing emotions when taking their depression symptoms into account. Across emotions, victims had lower recognition accuracy than non-involved individuals. When examining emotion-specific differences, victims showed lower accuracy for neutral faces which they mainly mistook for angry faces. Conclusion: In contrast to expectations, adolescents with a high-school history of bullying victimization mostly showed similar emotional intelligence and competence skills as non-involved individuals. Nonetheless, we found some subtle differences regarding emotion recognition. Victims misjudged neutral as angry faces. This suggests a hostile attribution bias which might help explain victims' interpersonal problems as well as their increased risk for mental health problems.

Regulating mirroring of emotions A social-specific mechanism?

There is evidence that humans mirror others’ emotional responses: brain responses to observed and experienced emotion overlap, and reaction time costs of observing others’ pain suggest that others’ emotional states interfere with our own. Such emotional mirroring requires regulation to prevent personal distress. However, currently it is unclear whether this “empathic interference effect” is uniquely social, arising only from the observation of human actors, or also from the observation of non-biological objects in “painful” states. Moreover, the degree to which this interference relates to individual differences in self-reported levels of empathy is yet to be revealed. We introduce a modified pain observation task, measuring empathic interference effects induced by observation of painful states applied to both biological and non-biological stimuli. An initial validation study (N = 50) confirmed that painful states applied to biological stimuli were rated explicitly as more painful than non-painful states applied to biological stimuli, and also than both painful and non-painful states applied to non-biological stimuli. Subsequently, across two independent discovery (N = 83) and replication (N = 80) samples, the task elicited slowing of response times during the observation of painful states when compared to non-painful states, but the magnitude of this effect did not differ between biological and non-biological stimuli. Little evidence was found for reliable relationships between empathic interference and self-reported empathy. Caution should therefore be taken in using the current task to pursue an individual differences approach to empathic interference, but the task shows promise for investigating the specificity of the mechanism involved in regulating emotional mirroring.

Getting in touch: A neural model of comforting touch

Comforting touch involves contact distress-alleviating behaviors of an observer towards the suffering of a target. A growing number of studies have investigated the effects of touch on pain attenuation, focusing on the (toucher), the target (comforted) or both. Here we synthesize findings of brain mechanisms underlying comforting touch in the target and toucher to propose an integrative brain model for understanding how touch attenuates distress. Building on evidence from the pain and distress literatures, our model applies interchangeably to pain and distress regulation. We describe comforting touch as a feedback-loop that begins with distress experienced by the target, triggering an empathic response in the toucher which in turn reduces distress in the target. This cycle is mediated by interactions between the neural circuits associated with touch perception, shared distress, emotion regulation and reward as well as brain-to-brain coupling in the observation-execution system. We conclude that formulating a model of comforting touch offers a mechanistic framework for understanding the effects of touch as well as other social interactions involving social support.

Gender Biases in Estimation of Others' Pain

Caregiving and other interpersonal interactions often require accurate perception of others' pain from nonverbal cues, but perceivers may be subject to systematic biases based on gender, race, and other contextual factors. Such biases could contribute to systematic under-recognition and undertreatment of pain. In 2 experiments, we studied the impact of perceived patient sex on lay perceivers' pain estimates and treatment recommendations. In Experiment 1 (N = 50), perceivers viewed facial video clips of female and male patients in chronic shoulder pain and estimated patients' pain intensity. Multi-level linear modeling revealed that perceivers under-estimated female patients' pain compared with male patients, after controlling for patients' self-reported pain and pain facial expressiveness. Experiment 2 (N = 200) replicated these findings, and additionally found that 1) perceivers' pain-related gender stereotypes, specifically beliefs about typical women's vs. men's willingness to express pain, predicted pain estimation biases; and 2) perceivers judged female patients as relatively more likely to benefit from psychotherapy, whereas male patients were judged to benefit more from pain medicine. In both experiments, the gender bias effect size was on average 2.45 points on a 0-100 pain scale. Gender biases in pain estimation may be an obstacle to effective pain care, and experimental approaches to characterizing biases, such as the one we tested here, could inform the development of interventions to reduce such biases. Perspective: This study identifies a bias towards underestimation of pain in female patients, which is related to gender stereotypes. The findings suggest caregivers' or even clinicians' pain stereotypes are a potential target for intervention.

Socio-cognitive processing in people with eating disorders: Computerized tests of mentalizing, empathy and imitation skills

OBJECTIVE

Eating disorders are psychiatric illnesses characterized by extreme eating behaviors, such as sustained food restriction or loss of control over eating. Symptoms are thought to be maintained by a variety of mechanisms, one of which may be the socio-cognitive impairments associated with eating disorders. While some previous work has addressed socio-cognitive impairments in eating disorders, this work has relied mostly on self-report data.

METHOD

Here we employed computerized tests of (a) mentalizing (ability to infer the mental states of others); (b) empathy (the degree to which the emotional states of others can be identified and the degree to which the states of others impact one's own emotional state); and (c) imitation (the degree to which observation of another's actions prompts the performance of those actions); in a group of 78 women with an eating disorder and a matched control group of 66 healthy women.

RESULTS

People with eating disorders showed both hyper- and hypo-mentalizing and reduced accuracy of emotional and cognitive mental state inference. They displayed less imitation of observed actions, but no differences in empathy compared to healthy controls. Although anxiety and depressive symptoms had significant effects on mentalizing, most of the observed inter-group differences persisted.

DISCUSSION

Women with eating disorders have difficulties mentalizing and imitating observed actions despite intact non-social automatic imitation, compared to healthy controls. These findings provide an indication that intervention modules to strengthen specific areas of social cognition might be helpful to improve patients' social skills.

Nuancing Perspective

Abstract. Two experiments manipulated participants’ familiarity with another person and examined their performance in future understanding of that person’s emotions. To gain familiarity, participants watched several videos of the target sharing experiences and rated her emotions. In the Feedback condition, perceivers learned about the actual emotions the target felt. In the Control condition, perceivers completed identical recognition tasks but did not know the target’s own emotion ratings. Studies ( Ntotal = 398; one preregistered) found that the Feedback group was more accurate than the Control in future understanding of the target’s emotions. Results provide a proof-of-concept demonstration that brief preliminary learning about past emotional experiences of another person can give one a more accurate understanding of the person in the future.

Modeling emotion in complex stories: the Stanford Emotional Narratives Dataset

Human emotions unfold over time, and more affective computing research has to prioritize capturing this crucial component of real-world affect. Modeling dynamic emotional stimuli requires solving the twin challenges of time-series modeling and of collecting high-quality time-series datasets. We begin by assessing the state-of-the-art in time-series emotion recognition, and we review contemporary time-series approaches in affective computing, including discriminative and generative models. We then introduce the first version of the Stanford Emotional Narratives Dataset (SENDv1): a set of rich, multimodal videos of self-paced, unscripted emotional narratives, annotated for emotional valence over time. The complex narratives and naturalistic expressions in this dataset provide a challenging test for contemporary time-series emotion recognition models. We demonstrate several baseline and state-of-the-art modeling approaches on the SEND, including a Long Short-Term Memory model and a multimodal Variational Recurrent Neural Network, which perform comparably to the human-benchmark. We end by discussing the implications for future research in time-series affective computing.

The neural networks underlying reappraisal of empathy for pain

Emotion regulation plays a central role in empathy. Only by successfully regulating our own emotions can we reliably use them in order to interpret the content and valence of others’ emotions correctly. In an functional magnetic resonance imaging (fMRI)-based experiment, we show that regulating one’s emotion via reappraisal modulated biased emotional intensity ratings following an empathy for pain manipulation. Task-based analysis revealed increased activity in the right inferior frontal gyrus (IFG) when painful emotions were regulated using reappraisal, whereas empathic feelings that were not regulated resulted in increased activity bilaterally in the precuneus, supramarginal gyrus and middle frontal gyrus (MFG), as well as the right parahippocampal gyrus. Functional connectivity analysis indicated that the right IFG plays a role in the regulation of empathy for pain, through its connections with regions in the empathy for pain network. Furthermore, these connections were further modulated as a function of the type of regulation used: in sum, our results suggest that accurate empathic judgment (i.e. empathy that is unbiased) relies on a complex interaction between neural regions involved in emotion regulation and regions associated with empathy for pain. Thus, demonstrating the importance of emotion regulation in the formulation of complex social systems and sheds light on the intricate network implicated in this complex process.

Do cognition and other person-level characteristics determine housing outcomes among homeless-experienced adults with serious mental illness?

Objective: Many persons with serious mental illness (SMI) who have experienced homelessness struggle to sustain stable and independent housing. We know little about determinants of this population's housing status. This study aimed to identify person-level determinants of housing status among homeless-experienced veterans with SMI, focused primarily on cognition. Method: We administered cross-sectional surveys and detailed cognitive assessments on a convenience sample of homeless-experienced veterans with SMI (n = 90); we also reviewed these participants' medical records. We captured person-level potential predictors of housing status (demographics, cognition, diagnoses, symptoms, and service utilization) and 2 years of retrospective housing history. Participants' housing status was conceptualized as the setting (stable housing, other sheltered settings, and streets) they lived in for >50% of the past 2 years. We used the chi-square test and analysis of variance to determine how potential predictors differed by housing status. We used recursive partitioning to identify the combination of potential predictors and corresponding scores that best-differentiated participants by housing status. Results: No between-groups differences (p < .05) in cognition, symptoms, or other person-level factors were found among participants grouped by housing status. Recursive partitioning did not yield a stable model to predict housing status from the potential predictor variables. Conclusions and Implications for Practice: These data suggest that clinical interventions addressing studied person-level factors (e.g., cognitive rehabilitation) may not affect housing status for homeless-experienced veterans. As housing is highly influenced by social determinants of health, policies, and practices that affect contextual factors (e.g., affordable housing supply) may be more likely to improve housing status. (PsycInfo Database Record (c) 2021 APA, all rights reserved).