An appraisal-based chain-of-emotion architecture for affective language model game agents.

The development of believable, natural, and interactive digital artificial agents is a field of growing interest. Theoretical uncertainties and technical barriers present considerable challenges to the field, particularly with regards to developing agents that effectively simulate human emotions. Large language models (LLMs) might address these issues by tapping common patterns in situational appraisal. In three empirical experiments, this study tests the capabilities of LLMs to solve emotional intelligence tasks and to simulate emotions. It presents and evaluates a new Chain-of-Emotion architecture for emotion simulation within video games, based on psychological appraisal research. Results show that it outperforms control LLM architectures on a range of user experience and content analysis metrics. This study therefore provides early evidence of how to construct and test affective agents based on cognitive processes represented in language models.

Synthesizing affective neurophysiological signals using generative models: A review paper.

The integration of emotional intelligence in machines is an important step in advancing human-computer interaction. This demands the development of reliable end-to-end emotion recognition systems. However, the scarcity of public affective datasets presents a challenge. In this literature review, we emphasize the use of generative models to address this issue in neurophysiological signals, particularly Electroencephalogram (EEG) and Functional Near-Infrared Spectroscopy (fNIRS). We provide a comprehensive analysis of different generative models used in the field, examining their input formulation, deployment strategies, and methodologies for evaluating the quality of synthesized data. This review serves as a comprehensive overview, offering insights into the advantages, challenges, and promising future directions in the application of generative models in emotion recognition systems. Through this review, we aim to facilitate the progression of neurophysiological data augmentation, thereby supporting the development of more efficient and reliable emotion recognition systems.

Relationship of emotional intelligence and capability of answering higher-order knowledge questions in physiology among first-year medical students.

Emotional intelligence (EI) has a positive correlation with the academic performance of medical students. However, why there is a positive correlation needs further exploration. We hypothesized that the capability of answering higher-order knowledge questions (HOQs) is higher in students with higher EI. Hence, we assessed the correlation between EI and the capability of medical students to answer HOQs in physiology. First-year undergraduate medical students (n = 124) from an Indian medical college were recruited as a convenient sample. EI was assessed by the Schutte Self-Report Emotional Intelligence Test (SSEIT), a 33-item self-administered validated questionnaire. A specially designed objective examination with 15 lower-order and 15 higher-order multiple-choice questions was conducted. The correlation between the examination score and the EI score was tested by Pearson's correlation coefficient. Data from 92 students (33 females and 59 males) with a mean age of 20.14 ± 1.87 yr were analyzed. Overall, students got a percentage of 53.37 ± 14.07 in the examination, with 24.46 ± 9.1 in HOQs and 28.91 ± 6.58 in lower-order knowledge questions (LOQs). They had a mean score of 109.58 ± 46.2 in SSEIT. The correlation coefficient of SSEIT score with total marks was r = 0.29 (P = 0.0037), with HOQs was r = 0.41 (P < 0.0001), and with LOQs was r = 0.14 (P = 0.19). Hence, there is a positive correlation between EI and the capability of medical students to answer HOQs in physiology. This study may be the foundation for further exploration of the capability of answering HOQs in other subjects.NEW & NOTEWORTHY This study assessed the correlation between emotional intelligence (EI) and the capability of medical students to answer higher-order knowledge questions (HOQs) in the specific context of physiology. The finding reveals one of the multifaceted dimensions of the relationship between EI and academic performance. This novel perspective opens the door to further investigations to explore the relationship in other subjects and other dimensions to understand why students with higher EI have higher academic performance.

Emotional wellbeing in teachers.

Wellbeing is determined by happiness and both positive and negative affects. These constructs are, in turn, related to emotional intelligence and play an important role in individual behaviour. This study examined the relationship between happiness, emotional intelligence, and positive and negative affects in a sample of 344 (121 men 35.17 % and 223 women 64.83 %) trainee teachers, with an average age of 22.36 years. Happiness and affects yielded lower values, which may be related to the age of the participants. All variables under study were found to be correlated, which suggests that they are measuring the same construct: subjective wellbeing. Network analysis indicated that the self-regulation of emotions was the axial factor in the relationship. Finally, it was found that only the factor of emotional intelligence that measures the self-regulation of emotion and affects (both positive and negative) can be used to predict happiness. The present investigation reveals that more research is needed that takes more variables into consideration to describe the effect of these variables on personal wellbeing. The study offers empirical support to models that argue for a relationship between happiness, emotional intelligence, and affects, and emphasises the need to work on future teachers during their training to address their psychological wellbeing.

Reduced GM-WM concentration inside the Default Mode Network in individuals with high emotional intelligence and low anxiety: a data fusion mCCA+jICA approach.

The concept of emotional intelligence (EI) refers to the ability to recognize and regulate emotions to appropriately guide cognition and behaviour. Unfortunately, studies on the neural bases of EI are scant, and no study so far has exhaustively investigated grey matter (GM) and white matter (WM) contributions to it. To fill this gap, we analysed trait measure of EI and structural MRI data from 128 healthy participants to shed new light on where and how EI is encoded in the brain. In addition, we explored the relationship between the neural substrates of trait EI and trait anxiety. A data fusion unsupervised machine learning approach (mCCA + jICA) was used to decompose the brain into covarying GM-WM networks and to assess their association with trait-EI. Results showed that high levels trait-EI are associated with decrease in GM-WM concentration in a network spanning from frontal to parietal and temporal regions, among which insula, cingulate, parahippocampal gyrus, cuneus and precuneus. Interestingly, we also found that the higher the GM-WM concentration in the same network, the higher the trait anxiety. These findings encouragingly highlight the neural substrates of trait EI and their relationship with anxiety. The network is discussed considering its overlaps with the Default Mode Network.

Dissociable neural correlates of trait and ability emotional intelligence: a resting-state fMRI study.

Emotional intelligence (EI) is one's ability to monitor one's own and other's emotions and the use of emotional information to enhance thought and action. Previous behavioral studies have shown that EI is separable into trait EI and ability EI, which are known to have distinct characteristics at the behavioral level. A relevant and unanswered question is whether both forms of EI have a dissociable neural basis. Previous studies have individually explored the neural underpinnings of trait EI and ability EI, but there has been no direct comparison of the neural mechanisms underlying these two types of emotional intelligence. The present study addresses this question by using resting-state fMRI to examine the correlational pattern between the regional amplitude of low-frequency fluctuations (ALFF) of the brain and individuals' trait EI and ability EI scores. We found that trait EI scores were positively correlated with the ALFF in the bilateral superior temporal gyrus, and negatively correlated with the ALFF in the ventral medial prefrontal cortex. In contrast, ability EI scores were positively correlated with the ALFF in the insula. Taken together, these results provide preliminary evidence of dissociable neural substrates between trait EI and ability EI.

The Relationship Between Emotional Intelligence and Fear of Pain in Patients Undergoing Elective Surgery.

PURPOSE: This study aimed to investigate the effect of emotional intelligence levels on the fear of pain for patients undergoing surgical intervention. DESIGN: This descriptive and cross-sectional study consisted of 254 patients. METHODS: Data were collected using the Personal Characteristics Information Form, Modified Schutte Emotional Intelligence Scale, Fear of Pain Questionnaire-III, and Numerical Pain Form. A correlational analysis was performed. FINDINGS: The mean age of patients was 47.33 ± 17.70 years, and 57.9% (n = 147) were female. More than half of the patients (n = 174) were experiencing a certain degree of preoperative pain. A positive and statistically significant correlation was observed between the mean scores of the Fear of Pain Questionnaire-III and the Emotional Intelligence Scale. Female patients had significantly more fear of pain and higher scores in the Fear of Pain Questionnaire-III (optimism/mood regulation, utilization of emotions) and the Emotional Intelligence Scale. CONCLUSIONS: The patients who manage "optimism/mood regulation" and have increasing levels of Emotional Intelligence could have a relatively higher fear of experiencing severe pain in the preoperative period. Despite the fear of experiencing severe pain, the patients tried to turn this negative situation into a positive one, as the dimensions of their emotional intelligence that provide and manage optimism/mood regulation were at a high level. The increasing level of Emotional Intelligence and "appraisal of emotions" might result in a decrease in the levels of fear of "minor pain" and "medical pain".

Trait emotional intelligence and resilience: gender differences among university students.

BACKGROUND: Previous studies have reported strong correlations of emotional intelligence (EI) with mental health and wellbeing; it is also a powerful predictor of social functioning and personal adaption. Resilience is the ability to adapt to significant life stressors and is also crucial for maintaining and restoring physical and mental health. The aim of this study was to investigate EI and resilience in healthy university students, with a focus on gender differences in EI and resilience components. MATERIALS AND METHODS: A total of 277 datasets collected via online questionnaire were analyzed. The questionnaire comprised the Self-Report Emotional Ability Scale (SEAS) developed by Freudenthaler and Neubauer for assessing trait EI facets and the Connor-Davidson Resilience Scale (CD-RISC). RESULTS: Regarding trait EI, females scored significantly higher in the total score for interpersonal emotional skills and in the subscale "Perception of the emotions of others" than males. Men showed significantly higher total scores in intrapersonal emotion-related abilities than women, and in the subscales "Regulation of one's own emotions" and "Control over the expression of one's own emotions." Concerning resilience, female students had significantly higher scores in the CD-RISC subscales "Personal competence and tenacity," "Control," and "Spiritual influence." The intrapersonal trait EI (SEAS) sum score showed a significant positive correlation with the total scores of the CD-RISC (rs = 0.445, p < 0.001). There were also positive correlations between the interpersonal trait EI sum score and the CD-RISC total score (rs = 0.438, p < 0.001). CONCLUSION: The results indicate gender differences in specific facets of trait EI and resilience, and an interaction between the two psychological constructs was demonstrated regardless of gender. For prevention of mental disorders and to foster wellbeing, it might be helpful to focus on improvement of self-perception in girls and women, and on supporting emotional awareness towards other people's emotions in boys and men. Further studies in the field should address other populations.

Negative self-talk in runners: Emotional intelligence and perceived stress as explanatory factors.

To optimize in the cognitive and emotional processes that appear in stressful situations in sports contexts is a relevant aspect to achieve a high level of performance. The present study aimed to analyze the relationship between perceived stress, emotional intelligence and negative self-talk in runners. It also aimed to determine whether emotional intelligence factors could play a protective role in this relationship. The sample consisted of 1071 runners from a race held in the Basque Country (Spain). The age of the participants was between 18 and 75 years (Mean = 41.59; SD = 9.95; 71.4% men). Participants completed an online survey days after the race. The results showed that perceived stress would be related to greater use of negative self-talk. In addition, evaluation of others' emotions and emotional regulation would also explain the occurrence of negative self-talk. Likewise, the interaction between perceived stress and appraisal of one's own emotions would explain the occurrence of negative self-talk, this relationship being stronger among those with lower scores on appraisal of one's own emotions. Results and practical implications of the findings are discussed.

Are Daily Well-Being and Emotional Reactivity to Stressors Modifiable in Midlife?: Evidence from a Randomized Controlled Trial of an Online Social Intelligence Training Program.

The complex set of challenges that middle-aged adults encounter emphasizes a need for mental health interventions that promote resilience and positive outcomes. The present study evaluated whether an online, self-guided social intelligence training (SIT) program (8 h) improved midlife adults' daily well-being and emotion regulation in the context of their own naturalistic everyday environment. A randomized controlled trial was conducted with 230 midlife adults allocated into either a SIT program or an attentional control (AC) condition that focused on healthy lifestyle education. Intent-to-treat analyses examined two bursts of 14-day daily surveys that participants completed pre- and post-treatment. Multilevel models evaluated pre-to post-treatment changes in mean positive and negative affect, as well as daily emotional reactivity to stressors and responsiveness to uplifts. Compared to the AC group, those in the SIT program reported improvements (i.e., decreases) in mean negative affect, positive emotional reactivity to daily stressors (i.e., smaller decreases in positive affect on stressor days), and negative emotional responsiveness to uplifts (i.e., lower negative affect on days without uplifts). Our discussion considers potential mechanisms underlying these improvements, highlights downstream effects on midlife functioning, and elaborates on how online delivery of the SIT program increases its potential for positive outcomes across adulthood. ClinicalTrials.gov Identifier: NCT03824353.

Impaired emotion perception in schizophrenia shows sex differences with channel- and category-specific effects: A pilot study.

Individuals with schizophrenia reportedly demonstrate deficits in emotion perception. Relevant studies on the effects of decoder's sex, communication channels and emotion categories have produced mixed findings and seldom explored the interactions among these three key factors. The present pilot study examined how male and female individuals with schizophrenia and healthy controls perceived emotional (e.g., angry, happy, and sad) and neutral expressions from verbal semantic and nonverbal prosodic and facial channels. Twenty-eight (11 females) individuals with schizophrenia and 30 healthy controls (13 females) were asked to recognize emotional facial expressions, emotional prosody, and emotional semantics. Both accuracy and response time showed subpar performance for all communication channels and emotional categories in the schizophrenia group. More severe emotion perception deficits were found with the nonverbal (not the verbal) materials. There was also a reduced level of impairment with anger perception, especially in the female individuals with schizophrenia while biased perception towards emotional semantics was more pronounced in male individuals with schizophrenia. These findings, although preliminary, indicate the channel- and category-specific nature of emotion perception with potential sex differences among people with schizophrenia, which has important theoretical and practical implications.

Research on emotional intelligence among Indian teachers: A Systematic Review and meta-analysis of its correlation with health parameters and impact of gender.

Background: Emotional intelligence is the self-perception related to identification and regulation of emotions. Several studies have been done among Indian teachers evaluating emotional intelligence in relation to demographic, professional and various psychological parameters, but the variety of scales, teacher types, and conflicting results makes it difficult to draw any meaningful conclusions from this heterogeneous data.The present work aims to synthesize the available data by both qualitative and quantitative analysis and is the first such attempt to include only Indian studies in this field. The main objectives were to determine the correlation of emotional intelligence with teachers' health parameters and to study the gender difference in emotional intelligence. Methods: After a thorough literature search in Google, Google scholar, Scopus, Web of science and Pubmed, fifty-five Indian studies were selected which empirically examined teachers' emotional intelligence, either alone or in association with another parameter evaluating teachers' psychological health and performance. After qualitative assessment of major findings, quantitative analysis was performed. Three separate meta-analysis were carried out. The first one with fifteen effect sizes among 3291 participants evaluated correlation with personal health parameters. The second with nineteen effect sizes in 4165 participants evaluated correlation with professional health parameters. The third with twenty-six studies involving 6005 participants assessed effect of gender. Results: The results show that almost all studies have used a trait measure, teachers' emotional intelligence is positively correlated with both personal and professional health parameters and gender has no effect on emotional intelligence. Conclusion: Major limitations are a very high degree of heterogeneity of the data, incomplete description of the scales, inadequate randomization and small sample sizes in many studies. The results indicate the importance of emotional intelligence in both personal and professional life of teachers and no effect of gender preparing a solid base for future research.

Resting-state BOLD temporal variability in sensorimotor and salience networks underlies trait emotional intelligence and explains differences in emotion regulation strategies.

A converging body of behavioural findings supports the hypothesis that the dispositional use of emotion regulation (ER) strategies depends on trait emotional intelligence (trait EI) levels. Unfortunately, neuroscientific investigations of such relationship are missing. To fill this gap, we analysed trait measures and resting state data from 79 healthy participants to investigate whether trait EI and ER processes are associated to similar neural circuits. An unsupervised machine learning approach (independent component analysis) was used to decompose resting-sate functional networks and to assess whether they predict trait EI and specific ER strategies. Individual differences results showed that high trait EI significantly predicts and negatively correlates with the frequency of use of typical dysfunctional ER strategies. Crucially, we observed that an increased BOLD temporal variability within sensorimotor and salience networks was associated with both high trait EI and the frequency of use of cognitive reappraisal. By contrast, a decreased variability in salience network was associated with the use of suppression. These findings support the tight connection between trait EI and individual tendency to use functional ER strategies, and provide the first evidence that modulations of BOLD temporal variability in specific brain networks may be pivotal in explaining this relationship.

Emotional Intelligence in Ultra-Marathon Runners: Implications for Recovery Strategy and Stress Responses during an Ultra-Endurance Race.

The aim of this research was to investigate the role of trait emotional intelligence (EI) in recovery stress states in a mountain ultra-marathon (MUM) race. Recovery stress states of 13 finishers were assessed before, during, and immediately after the end of an extreme MUM, whereas emotional intelligence was assessed 2 days before the MUM race. Temporal evolutions of recovery stress states were examined. Stress states increased after the race whereas recovery states decreased in all participants. In addition, recovery states were influenced by the trait EI level assessed before the competition. Results supported the hypothesis that trait EI tends to have a positive effect by boosting recovery strategies. In this perspective, trait EI could have a protective role against stress and improve pre-competition mental preparation. High scores of trait EI (in comparison to low scores of trait EI) could have helped athletes to increase recovery states in order to improve their psychological adaptation to one of the most difficult races in the world.

The relationship between emotional intelligence and parental stress management during the Covid-19 pandemic.

This study planned and conducted to investigate the relationship between emotional intelligence and parental stress management during the Covid-19 pandemic. Taking into account the role of emotional intelligence parameters in stress management, this study aimed to show how a family can stand on its own feet and overcome the crisis safely. We used a descriptive correlational method. The statistical population of the study included all parents living in Tehran who underwent the stress of the Coronavirus in 2021. The statistical sample included 420 randomly selected parents. Goleman Emotional Intelligence Questionnaire and Stress Management and Coping Skills Questionnaire were used for data collection. Data analysis was performed using Pearson's Correlation Coefficient Test and stepwise regression method. The results showed that the stress response factor plays an important role in the increase of the emotional intelligence score (scale), and a positive and significant relationship was observed between them with 99% confidence. We found a positive and significant relationship between empathy and parental stress management parameters during the Covid-19 pandemic with 99% confidence. There is a significant negative relationship between self-motivation and parental stress management during the Covid-19 pandemic with 95% confidence. Relaying on the findings of our study, we concluded that we can help families to manage the parental stress during the Covid-19 pandemic by strengthening the empathy parameter of emotional intelligence and reducing premature and unmanaged sensitiveness.

Expressive flexibility and health-related quality of life: The predictive role of enhancement and suppression abilities and relationships with trait emotional intelligence.

This study aims to examine the ability to flexibly enhance and suppress emotional expression, known as expressive flexibility, in relation to physical and psychological health, as well as trait emotional intelligence (EI). A sample of 503 Italian (Mage = 28.65 ± 9.26 years, 85.1% females) participants completed the Italian version of Flexible Regulation of Emotional Expression (FREE) Scale, the TEIQue-SF, and the Short Form-12 Health Survey. Confirmatory factor analysis indicated that the Italian version of FREE showed adequate psychometric properties. In both genders, results of correlational analyses indicated that enhancement ability was associated with well-being, emotionality, and sociability, whereas suppression ability was associated with self-control. Regression analyses, controlling for age and gender, indicated that suppression and inversely enhancement abilities, predicted the perceived psychological but not physical health. Well-being, self-control, and sociability also contributed to explaining variance in the model. The interaction effect of enhancement and suppression was not significantly associated with either physical or psychological health. Overall, these results suggest that enhancement and suppression abilities differentially contribute to psychological health when trait EI is accounted for. Clinical implications and future directions for research on expressive flexibility are discussed.

Higher emotional awareness is associated with greater domain-general reflective tendencies.

The tendency to reflect on the emotions of self and others is a key aspect of emotional awareness (EA)-a trait widely recognized as relevant to mental health. However, the degree to which EA draws on general reflective cognition vs. specialized socio-emotional mechanisms remains unclear. Based on a synthesis of work in neuroscience and psychology, we recently proposed that EA is best understood as a learned application of domain-general cognitive processes to socio-emotional information. In this paper, we report a study in which we tested this hypothesis in 448 (125 male) individuals who completed measures of EA and both general reflective cognition and socio-emotional performance. As predicted, we observed a significant relationship between EA measures and both general reflectiveness and socio-emotional measures, with the strongest contribution from measures of the general tendency to engage in effortful, reflective cognition. This is consistent with the hypothesis that EA corresponds to the application of general reflective cognitive processes to socio-emotional signals.

Birth order and prosociality in the early adolescent brain.

Birth order is a crucial environmental factor for child development. For example, later-born children are relatively unlikely to feel secure due to sibling competition or diluted parental resources. The positive effect of being earlier-born on cognitive intelligence is well-established. However, whether birth order is linked to social behavior remains controversial, and the neural correlates of birth order effects in adolescence when social cognition develops remain unknown. Here, we explored the birth order effect on prosociality using a large-scale population-based adolescent cohort. Next, since the amygdala is a key region for sociality and environmental stress, we examined amygdala substrates of the association between birth order and prosociality using a subset neuroimaging cohort. We found enhanced prosociality in later-born adolescents (N = 3160), and observed the mediating role of larger amygdala volume (N = 208) and amygdala-prefrontal functional connectivity with sex-selective effects (N = 183). We found that birth order, a non-genetic environmental factor, affects adolescent social development via different neural substrates. Our findings may indicate the later-born people's adaptive survival strategy in stressful environments.

Multimodal prediction of trait emotional intelligence-Through affective changes measured using non-contact based physiological measures.

Inability to efficiently deal with emotionally laden situations, often leads to poor interpersonal interactions. This adversely affects the individual's psychological functioning. A higher trait emotional intelligence (EI) is not only associated with psychological wellbeing, educational attainment, and job-related success, but also with willingness to seek professional and non-professional help for personal-emotional problems, depression and suicidal ideation. Thus, it is important to identify low (EI) individuals who are more prone to mental health problems than their high EI counterparts, and give them the appropriate EI training, which will aid in preventing the onset of various mood related disorders. Since people may be unaware of their level of EI/emotional skills or may tend to fake responses in self-report questionnaires in high stake situations, a system that assesses EI using physiological measures can prove affective. We present a multimodal method for detecting the level of trait Emotional intelligence using non-contact based autonomic sensors. To our knowledge, this is the first work to predict emotional intelligence level from physiological/autonomic (cardiac and respiratory) response patterns to emotions. Trait EI of 50 users was measured using Schutte Self Report Emotional Intelligence Test (SSEIT) along with their cardiovascular and respiratory data, which was recorded using FMCW radar sensor both at baseline and while viewing affective movie clips. We first examine relationships between users' Trait EI scores and autonomic response and reactivity to the clips. Our analysis suggests a significant relationship between EI and autonomic response and reactivity. We finally attempt binary EI level detection using linear SVM. We also attempt to classify each sub factor of EI, namely-perception of emotion, managing own emotions, managing other's emotions, and utilization of emotions. The proposed method achieves an EI classification accuracy of 84%, while accuracies ranging from 58 to 76% is achieved for recognition of the sub factors. This is the first step towards identifying EI of an individual purely through physiological responses. Limitation and future directions are discussed.

Factor structure and construct validity of the short form of managing the emotions of others (MEOS-SF) scale in the Chinese sample.

OBJECTIVES: Emotional manipulation is an important strategy in social interaction. The English version of MEOS-SF has been developed to make the measurement of such manipulation ability more efficient. The purpose of the current study was to assess the psychometric properties of the Chinese version of MEOS-SF. METHODS: Explore factor analysis and Confirmatory factor analysis were adopted to examine the Chinese version of the MEOS-SF factor structure in 645 Chinese participants (mean age = 24.68 ± 6.01 years) recruited online. RESULTS: Factor analysis supported a new three-factor model that included Conceal, Prosocial, and Non-prosocial, different from the original English MEOS-SF. Enhance and Divert merged to Prosocial factor while Worsen and Inauthentic merged to Non-prosocial factor because both prosocial and non-prosocial pairs had similar objectives, which would be perceived as the same thing by people in Eastern culture. As expected, MEOS-SF factors were found to be correlated with the Big Five, psychopathy, narcissism, Machiavellianism, and trait EI. CONCLUSIONS: Our results suggested that the Chinese version of MEOS-SF had acceptable psychometric properties and could be used to assess emotional manipulation.