We use cookies to distinguish you from other users and to provide you with a better experience on our websites. Close this message to accept cookies or find out how to manage your cookie settings.
To save content items to your account,
please confirm that you agree to abide by our usage policies.
If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account.
Find out more about saving content to .
To save content items to your Kindle, first ensure no-reply@cambridge.org
is added to your Approved Personal Document E-mail List under your Personal Document Settings
on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part
of your Kindle email address below.
Find out more about saving to your Kindle.
Note you can select to save to either the @free.kindle.com or @kindle.com variations.
‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi.
‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.
Emotion recognition in conversation (ERC) faces two major challenges: biased predictions and poor calibration. Classifiers often disproportionately favor certain emotion categories, such as neutral, due to the structural complexity of classifiers, the subjective nature of emotions, and imbalances in training datasets. This bias results in poorly calibrated predictions where the model’s predicted probabilities do not align with the true likelihood of outcomes. To tackle these problems, we introduce the application of conformal prediction (CP) into ERC tasks. CP is a distribution-free method that generates set-valued predictions to ensure marginal coverage in classification, thus improving the calibration of models. However, inherent biases in emotion recognition models prevent baseline CP from achieving a uniform conditional coverage across all classes. We propose a novel CP variant, class spectrum conformation, which significantly reduces coverage bias in CP methods. The methodologies introduced in this study enhance the reliability of prediction calibration and mitigate bias in complex natural language processing tasks.
Altered affective state recognition is assumed to be a root cause of aggressive behavior, a hallmark of psychopathologies such as psychopathy and antisocial personality disorder. However, the two most influential models make markedly different predictions regarding the underlying mechanism. According to the integrated emotion system theory (IES), aggression reflects impaired processing of social distress cues such as fearful faces. In contrast, the hostile attribution bias (HAB) model explains aggression with a bias to interpret ambiguous expressions as angry.
Methods
In a set of four experiments, we measured processing of fearful and angry facial expressions (compared to neutral and other expressions) in a sample of 65 male imprisoned violent offenders rated using the Hare Psychopathy Checklist-Revised (PCL-R, Hare, R. D. (1991). The psychopathy checklist–revised. Toronto, ON: Multi-Health Systems) and in 60 age-matched control participants.
Results
There was no evidence for a fear deficit in violent offenders or for an association of psychopathy or aggression with impaired processing of fearful faces. Similarly, there was no evidence for a perceptual bias for angry faces linked to psychopathy or aggression. However, using highly ambiguous stimuli and requiring explicit labeling of emotions, violent offenders showed a categorization bias for anger and this anger bias correlated with self-reported trait aggression (but not with psychopathy).
Conclusions
These results add to a growing literature casting doubt on the notion that fear processing is impaired in aggressive individuals and in psychopathy and provide support for the idea that aggression is related to a hostile attribution bias that emerges from later cognitive, post-perceptual processing stages.
Our study proposes to examine how stress and emotion recognition interact with a history of maltreatment to influence sensitive parenting behaviors. A sample of 58 mothers and their children aged between 2 and 5 years old were recruited. Parents’ history of maltreatment was measured using the Child Trauma Questionnaire. An emotion recognition task was performed. Mothers identified the dominant emotion in morphed facial emotion expressions in children. Mothers and children interacted for 15 minutes. Salivary cortisol levels of mothers were collected before and after the interaction. Maternal sensitive behaviors were coded during the interaction using the Coding Interactive Behavior scheme. Results indicate that the severity of childhood maltreatment is related to less sensitive behaviors for mothers with average to good abilities in emotion recognition and lower to average increases in cortisol levels following an interaction with their children. For mothers with higher cortisol levels, there is no association between a history of maltreatment and sensitive behaviors, indicating that higher stress reactivity could act as a protective factor. Our study highlights the complex interaction between individual characteristics and environmental factors when it comes to parenting. These results argue for targeted interventions that address personal trauma.
Many everyday situations involve emotion communication – be it only a friendly smile by a cashier or a quick frown to indicate that we are puzzled by a request. Hence the proper signaling and understanding of emotions is of major importance for smooth, pleasant interactions. However, not only the understanding of others’ emotions but also the reaction to these perceived emotions is of importance. One such reaction is emotional mimicry – the imitation of the emotional expressions of others. Notably, emotional mimicry fosters affiliation, whereas interactions without mimicry are often perceived as cold and strained. The present chapter discusses the influence of (facial) aging on emotion recognition and emotional mimicry.
Autism is associated with challenges in emotion recognition. Yet, little is known about how emotion recognition develops over time in autistic children. This four-wave longitudinal study followed the development of three emotion-recognition abilities regarding four basic emotions in children with and without autism aged 2.5 to 6 years over three years. Behavioral tasks were used to examine whether children could differentiate facial expressions (emotion differentiation), identify facial expressions with verbal labels (emotion identification), and attribute emotions to emotion-provoking situations (emotion attribution). We confirmed previous findings that autistic children experienced more difficulties in emotion recognition than non-autistic children and the group differences were present already from the preschool age. However, the group differences were observed only when children processed emotional information from facial expressions. When emotional information could be deduced from situational cues, most group differences disappeared. Furthermore, this study provided novel longitudinal evidence that emotion recognition improved with age in autistic children: compared to non-autistic children, autistic children showed similar learning curves in emotion discrimination and emotion attribution, and they showed greater improvements in emotion identification. We suggest that inclusion and respect in an environment free of stereotyping are likely to foster the development of emotion recognition among autistic children.
Difficulty recognizing negative emotions is linked to aggression in children. However, it remains unclear how certain types of emotion recognition (insensitivities vs. biases) are associated with functions of aggression and whether these relations change across childhood. We addressed these gaps in two diverse community samples (study 1: aged 4 and 8; N = 300; study 2: aged 5 to 13, N = 374). Across studies, children performed a behavioral task to assess emotion recognition (sad, fear, angry, and happy facial expressions) while caregivers reported children’s overt proactive and reactive aggression. Difficulty recognizing fear (especially in early childhood) and sadness was associated with greater proactive aggression. Insensitivity to anger – perceiving angry faces as showing no emotion – was associated with increased proactive aggression, especially in middle-to-late childhood. Additionally, greater happiness bias – mistaking negative emotions as being happy – was consistently related to higher reactive aggression only in early childhood. Together, difficulty recognizing negative emotions was related to proactive aggression, however, the strength of these relations varied based on the type of emotion and developmental period assessed. Alternately, difficulty determining emotion valence was related to reactive aggression in early childhood. These findings demonstrate that distinct forms of emotion recognition are important for understanding functions of aggression across development.
To identify the patterns of errors in facial emotion recognition in frontotemporal dementia (FTD) subtypes compared with Alzheimer’s disease (AD) and healthy controls.
Design:
Retrospective analysis.
Setting:
Participants were recruited from FRONTIER, the frontotemporal dementia research group at the University of Sydney, Australia.
Participants:
A total of 356 participants (behavioral-variant FTD (bvFTD): 62, semantic dementia (SD)-left: 29, SD-right: 14, progressive non-fluent aphasia (PNFA): 21, AD: 76, controls: 90) were included.
Measurements:
Facial emotion recognition was assessed using the Facial Affect Selection Task, a word-face matching task measuring recognition of the six basic emotions (anger, disgust, fear, happiness, sadness, and surprise), as well as neutral emotion, portrayed by black and white faces.
Results:
Overall, all clinical groups performed significantly worse than controls with the exception of the PNFA subgroup (p = .051). The SD-right group scored worse than all other clinical groups (all p values < .027) and the bvFTD subgroup performed worse than the PNFA group (p < .001). The most frequent errors were in response to the facial emotions disgust (26.1%) and fear (22.9%). The primary error response to each target emotion was identified; patterns of errors were similar across all clinical groups.
Conclusions:
Facial emotion recognition is impaired in FTD and AD compared to healthy controls. Within FTD, bvFTD and SD-right are particularly impaired. Dementia groups cannot be distinguished based on error responses alone. Implications for future clinical diagnosis and research are discussed.
Human-centered intelligent human–robot interaction can transcend the traditional keyboard and mouse and have the capacity to understand human communicative intentions by actively mining implicit human clues (e.g., identity information and emotional information) to meet individuals’ needs. Gait is a unique biometric feature that can provide reliable information to recognize emotions even when viewed from a distance. However, the insufficient amount and diversity of training data annotated with emotions severely hinder the application of gait emotion recognition. In this paper, we propose an adversarial learning framework for emotional gait dataset augmentation, with which a two-stage model can be trained to generate a number of synthetic emotional samples by separating identity and emotion representations from gait trajectories. To our knowledge, this is the first work to realize the mutual transformation between natural gait and emotional gait. Experimental results reveal that the synthetic gait samples generated by the proposed networks are rich in emotional information. As a result, the emotion classifier trained on the augmented dataset is competitive with state-of-the-art gait emotion recognition works.
To investigate if executive and social cognitive dysfunction was associated with apathy in a large cohort of Huntington’s disease gene expansion carriers.
Method:
Eighty premanifest and motor-manifest Huntington’s disease gene expansion carriers (Mini-Mental State Examination score ≥ 24 and Montreal Cognitive Assessment score ≥ 19) and thirty-two controls were examined with the Lille Apathy Rating Scale (LARS), a tailored and quantitative measure of apathy, and a comprehensive cognitive battery on executive functions and social cognition (emotion recognition, theory of mind and sarcasm detection), as well as general correlates like demographic variables, and neuropsychiatric and cognitive screening tests.
Results:
The motor-manifest Huntington’s disease gene expansion carriers had significantly different scores on most measures of social cognition and executive functions, compared to premanifest and control participants. Apathy was significantly correlated with most executive test scores, but the Emotion Hexagon was the only social cognitive test score significantly correlated with apathy. We found that the motor score and the depression score were the only significant predictors of the apathy score, when the social cognitive and executive tests with the strongest association with the global LARS score were entered into a multiple stepwise regression model. No cognitive test score could significantly predict apathy. The model explained 21 % of the total variance.
Conclusion:
Despite being significantly correlated with apathy neuropsychological variables did not have a significant impact on apathy when variables as depression and motor symptoms were taken into account. Apathy should be considered an independent symptom of Huntington’s disease that requires specific examination.
Major depressive disorder (MDD) was previously associated with negative affective biases. Evidence from larger population-based studies, however, is lacking, including whether biases normalise with remission. We investigated associations between affective bias measures and depressive symptom severity across a large community-based sample, followed by examining differences between remitted individuals and controls.
Methods
Participants from Generation Scotland (N = 1109) completed the: (i) Bristol Emotion Recognition Task (BERT), (ii) Face Affective Go/No-go (FAGN), and (iii) Cambridge Gambling Task (CGT). Individuals were classified as MDD-current (n = 43), MDD-remitted (n = 282), or controls (n = 784). Analyses included using affective bias summary measures (primary analyses), followed by detailed emotion/condition analyses of BERT and FAGN (secondary analyses).
Results
For summary measures, the only significant finding was an association between greater symptoms and lower risk adjustment for CGT across the sample (individuals with greater symptoms were less likely to bet more, despite increasingly favourable conditions). This was no longer significant when controlling for non-affective cognition. No differences were found for remitted-MDD v. controls. Detailed analysis of BERT and FAGN indicated subtle negative biases across multiple measures of affective cognition with increasing symptom severity, that were independent of non-effective cognition [e.g. greater tendency to rate faces as angry (BERT), and lower accuracy for happy/neutral conditions (FAGN)]. Results for remitted-MDD were inconsistent.
Conclusions
This suggests the presence of subtle negative affective biases at the level of emotion/condition in association with depressive symptoms across the sample, over and above those accounted for by non-affective cognition, with no evidence for affective biases in remitted individuals.
Current research suggests emotion recognition to be significantly impaired in individuals with schizophrenia spectrum disorders (SSD), whereby negative symptoms are theorised to play a crucial role. Emotion recognition deficits are assumed to be predictors of transition from clinical high risk to schizophrenia. So far, little attention has been given hereby to the subdomains of negative symptoms and recognizing the individual basic emotions.
Objectives
Our study aimed to explore the relationship between the recognition of the basic emotions and each negative symptom domain.
Methods
66 patients with a SSD diagnosis were recruited at the Charité – Universitätsmedizin Berlin. Correlational and regression analyses to control for the covariates (age, education, sex) were conducted between the recognition of the six basic emotions (anger, disgust, fear, happiness, sadness, surprise) using the Emotion Recognition Task of the Cambridge Neuropsychological Test Automated Battery (CANTAB) and the seven different subdomains of negative symptoms of the Positive and Negative Syndrome Scale (PANSS).
Results
revealed significantly negative correlations of blunted affect with the recognition of happiness, fear, and disgust. Difficulties in abstract thinking, also correlated positively with the recognition of fear. Additionally, we found a significant positive correlation between stereotyped thinking and difficulties in abstract thinking with the response latency in emotion recognition.
Conclusions
Individuals with SSD and domains of negative symptoms showed specific impairments in recognizing the representation of basic emotions. A longitudinal design to make causality statements would be useful for future research. Moreover, emotion recognition should be considered for early detection and individualized treatment.
Abnormalities in emotion recognition (ER) are frequently reported in depression, with lowered recognition accuracy in patients with major depressive disorder (MDD) when compared to healthy individuals. Mindfulness was found to directly impact the severity of depressive symptoms, by negative cognition and dysfunctional reaction recognition.
Objectives
The aims of this study were to compare ER and mindfulness levels between MDD patients and healthy controls (HC), as well as to examine whether ER and mindfulness are related to symptom severity in MDD patients.
Methods
68 patients with MDD and 93 HC participated in the study. A sociodemographic form, Reading the Mind in the Eyes Test (RMET), Five Facet Mindfulness Questionnaire-Short Form (FFMQ-S) and the Montgomery Asperg Depression Scale (MADRS) were administered. Group comparison in ER and mindfulness was assessed using the Multivariate analysis of covariance (MANCOVA). Bivariate correlations and multiple linear regression analyses were performed to assess the associations between depression severity, ER and mindfulness in the patient group.
Results
Better ER and higher levels of mindfulness were found in HCs relative to the MDD group. A positive association between depression severity and the non-reactivity facet of mindfulness was found, indicating that in the MDD group non-reactivity was a significant predictor for depression severity. On the other hand, ER was not significant in predicting symptom severity.
Conclusions
Non-reactivity, unlike other dimensions of mindfulness, seems to increase with the severity of depressive symptoms among MDD patients. To particularly focus on this subdimension in mindfulness techniques may yield better outcomes in alleviation of depressive symptoms.
Magnocellular deficit in visual perception and impaired emotion recognition are core features of schizophrenia, however their relationship and the neurobiological underpinnings are still unclear.
Objectives
The aim of our research was to investigate the oscillatory background of perception and emotion recognition in schizophrenia and to examine the relationship between these processes.
Methods
Thirty-nine subjects with schizophrenia and forty healthy controls subjects were enrolled in the study; the two study groups did not differ in age, gender and education. In the visual paradigm the participants viewed magnocellular biased low-spatial frequency (LSF) and parvocellular biased high-spatial frequency (HSF) Gabor-patches and in the second paradigm happy, sad and neutral faces were presented, while 128-channel EEG was recorded.
Results
Significantly weaker theta (4-7 Hz) event related synchronisation (ERS) was observed in patients compared to controls in the LSF condition, whereas in the HSF condition there was no difference between the two groups. Event related changes in theta amplitude were also found to be significantly weaker in patients compared to healthy controls in the emotion recognition task, which difference was disappeared after correction for ERS to LSF condition. In the correlational analysis theta activity in the magnocellular biased stimuli correlated significantly with theta activity in the emotion recognition task, while theta to parvocellular biased stimuli showed no similar correlation with emotion recognition.
Conclusions
In schizophrenia, emotion recognition impairments are closely related to the dysfunction of the magnocellular system, which supports the bottom-up model of schizophrenia.
Despite the importance of social cognitive functions to mental health and social adjustment, examination of these functions is absent in routine assessment of epilepsy patients. Thus, this review aims to provide a comprehensive overview of the literature on four major aspects of social cognition among temporal and frontal lobe epilepsy, which is a critical step toward designing new interventions.
Method:
Papers from 1990 to 2021 were reviewed and examined for inclusion in this study. After the deduplication process, a systematic review and meta-analysis of 44 and 40 articles, respectively, involving 113 people with frontal lobe epilepsy and 1482 people with temporal lobe epilepsy were conducted.
Results:
Our results indicated that while patients with frontal or temporal lobe epilepsy have difficulties in all aspects of social cognition relative to nonclinical controls, the effect sizes were larger for theory of mind (g = .95), than for emotion recognition (g = .69) among temporal lobe epilepsy group. The frontal lobe epilepsy group exhibited significantly greater impairment in emotion recognition compared to temporal lobe. Additionally, people with right temporal lobe epilepsy (g = 1.10) performed more poorly than those with a left-sided (g = .90) seizure focus, specifically in the theory of mind domain.
Conclusions:
These data point to a potentially important difference in the severity of deficits within the emotion recognition and theory of mind abilities depending on the laterlization of seizure side. We also suggest a guide for the assessment of impairments in social cognition that can be integrated into multidisciplinary clinical evaluation for people with epilepsy
Emotion recognition has been traditionally measured trough the recognition of emotional expressions of static faces. Studies suggest that emotion recognition is progressively acquired from early stages in our infancy. However, the literature regarding other emotional domains such as voice or body movements is scarce. Additionally, the number of tools that integrate several domains is limited, especially in children and adolescents, and none of them tested in Spanish samples. Therefore, this study aimed to define the psychometric properties of the Bell-Lysaker Emotion Recognition Task (BLERT) and a new-designed alternate version providing normative data in Spanish children and adolescents (from 8 to 15 years old corresponding to 3th). Moreover, we aim to describe the emotional acquisition trajectory of children and adolescents with a tool that integrates voice, face expressions and body movements. For that purpose, BLERT was translated into Spanish (BLERT–SI) and an alternate version was created (BLERT–SII). A total of 545 children and adolescents from 8 to 15 year-old participated in the study (250 male/295 female). All participants fulfilled BLERT–SI and BLERT–SII within two weeks of difference. Order of presentation was counterbalanced. Results showed that BLERT–SI and SII have good internal consistency (α = .70 and 71 respectively). Test-retest reliability showed a moderate correlation (r = .45; p < .001). Percentages equivalences per age are provided. Age correlated with BLERT–SI (r = .31; p < .001) and BLERT–SII (r = .21; p < .001), showing a progressive acquisition and development of emotion recognition during this period. BLERT–SI and SII are useful tools when studying the follow-up of children and adolescents.
Psychotic disorders are characterized by problems in interpersonal, social functioning. Paranoid ideation reflects severe suspiciousness and distrust in others. However, the neural mechanisms underlying these social symptoms are largely unknown. Here, we discuss studies investigating trust in psychosis by means of the interactive trust game, and through trustworthiness ratings of faces. Across all the stages of the continuum reduced baseline trust was found in various studies, possibly suggesting a trait-like vulnerability for psychosis. In repeated interactions chronic patients engage less in trust honouring interactions, although they show intact reactions to facial expressions. Overall, first-episode patients and individuals at high risk for psychosis also show reduced trust, but are able to learn to trust over repeated interactions. Several factors that can influence trust are discussed. At the neural level, differential activation in brain regions associated with theory of mind and reward processing were found in individuals with psychosis across illness stages. Theoretical accounts considering motivation, cognition and affect are discussed and suggestions for future research are formulated.
Psychopathological descriptions, diagnostic criteria, and experimental studies suggest issues with trust across the range of different personality disorders. While the majority of findings refers to Borderline Personality Disorder, the studies investigating trust issues in other personality disorders suggest differential patterns of trust impairments, but also common determinants. For example, traumatization during childhood and adolescence seems to be important for alterations in trust across the spectrum of personality disorders. In this chapter, we describe the definition and classification of different personality disorders, report findings elucidating the specific importance of issues with trust in this group of mental disorders and present therapeutic approaches aiming to restore trust. Most of the empirical studies focus on self-reports and behavioral indices of trust. In contrast neurobiological studies investigating the neuronal correlates of trust impairments are extremely sparse. One exception are studies on the effects of the prosocial neuropeptide oxytocin which emphasize that the mechanism underlying alterations of trust in personality disorders are complex. At the end of the chapter, we discuss implications for future research on trust that may contribute to our understanding of impairments in trust in personality disorders and thereby help to improve the treatment options for this domain of interpersonal dysfunction.
Internet gaming is acknowledged as a common leisure activity among adolescents yet only a little known about the pscyhodevelopmental roots. Emotion recognition and metacognition which are proved to be determinants in behavioral disorders may be considered salient factors in also internet gaming disorder (IGD).
Objectives
The research to date has focused on psychological comorbidities rather than risk factors (e.g. dysfunctional metacognitive beliefs, emotion recognition deficits), whereas, improved early intervention would be more likely if risk factors were well defined, especially before the onset of the illness. The objective of this study was to investigate these areas by analyzing associations between metacognitive beliefs, emotion recognition, and IGD among late adolescents with tendency for pathological gaming behavior.
Methods
806 high school students were recruited and instructed to take Internet Gaming Disorder Scale (IGDT), Meta-Cognitions Questionnaire for Children and Adolescents (MCQ-C) and Reading the Mind in the Eyes Test - Children’s Version (RMET).
Results
Mean comparisons corresponding to IGD risk potential showed that positive meta-worry and superstitious, punishment, and responsibility beliefs of MCQ-C were significantly higher in the risky group, whereas; RMET neutral subtest was significantly higher in the non-risky group. Additionally, a positive correlation was found in all subtests of MCQ-C, RMET positive emotions and IGD. Regression analysis revealed that RMET positive subtest and positive meta-worry of MCQ-C predict IGD risk.
Conclusions
The findings of the study partially corroborated the early results found among early adolescents; however, they also indicated the requirement of distinct therapeutic approach for cognitive interventions of IGD in late adolescence period.
Some researchers believe that an increased level of aggression and cruelty towards others in delinquent adolescents is due to impaired recognition of emotions and empathy.
Objectives
The aim of our study was to study the recognition of emotions in deviant adolescents.
Methods
As a material, 156 juvenile offenders from 13 to 19 years old were selected who were in the camp for delinquent adolescents “Sibextrem”. All of them committed any offenses, they were registered with the social welfare authorities and the police. The adolescents were trained to reduce aggressiveness. During the training, several exercises were carried out. In the first exercise, the teenagers were asked to identify the emotions depicted in the photographs. In the second, determine what emotional state their peers portray
Results
During the training process, 78% of adolescents could not identify the emotions presented. This was typical not only for the recognition of standard images, but also for the presentation of emotions by peers. As a result of the training, most adolescents, 64.2%, learned to quite accurately recognize nonverbal emotions. As a result, the number of aggressive manifestations decreased by 31.6%. Mutual understanding and communication improved.
Conclusions
The results obtained indicate that deviant adolescents have impaired emotional perception of others. Difficulty in assessing emotions creates tension in interpersonal relationships and can contribute to the manifestation of various forms of aggressive behavior. The vector of research we have chosen shows the need for further study of the emotional sphere of adolescents and its relationship with deviant forms of behavior.
Exposure to chronic early trauma carries lasting effects on children's well-being and adaptation. Guided by models on resilience, we assessed the interplay of biological, emotional, cognitive, and relational factors in shaping two regulatory outcomes in trauma-exposed youth: emotion recognition (ER) and executive functions (EF). A unique war-exposed cohort was followed from early childhood to early adolescence. At preadolescence (11–13 years), ER and EF were assessed and respiratory sinus arrhythmia (RSA), biomarker of parasympathetic regulation, was quantified. Mother–child dyadic reciprocity, child's avoidance symptoms, and cortisol (CT) were measured in early childhood. Trauma-exposed youth displayed impaired ER and EF abilities. Conditional process analysis described two differential indirect paths leading from early trauma to regulatory outcomes. ER was mediated by avoidance symptoms in early childhood and modulated by cortisol, such that this path was evident only for preadolescents with high, but not low, CT. In comparison, EF was mediated by the degree of dyadic reciprocity experienced in early childhood and modulated by RSA, observed only among youth with lower RSA. Findings pinpoint trauma-related disruptions to key regulatory support systems in preadolescence as mediated by early-childhood relational, clinical, and physiological factors and highlight the need to specify biobehavioral precursors of resilience toward targeted early interventions.