Emotional Dynamics Research Articles

Emotional Intelligence Proficiency in Students Enrolled in Professional Courses

Emotional Intelligence (EI) plays a vital role in both professional and personal success, with research indicating that 80% of a person’s success is attributed to their EI, while only 20% depends on IQ. EI refers to the ability to recognize, understand, and manage emotions effectively, both in oneself and others. This study aims to assess the level of EI among undergraduate and postgraduate students in Dehradun. Data was gathered from 780 students across various institutes in Dehradun. The research is organized into eight sections: introduction, concept of EI, key variables, the importance of EI in success, types and attributes of EI, analysis and discussion of findings, conclusions, and suggestions for improvement. The study highlights the significance of emotional intelligence in shaping student success and offers insights into how educational institutions can foster this skill among students. By understanding the emotional dynamics, students can enhance their personal and professional growth, contributing to their overall well-being and achievement. The conclusions and suggestions from this research will help in developing strategies to nurture EI among students for better outcomes in their academic and future careers.

See, Touch, Feel: Theorizing Twitter/X Images for Diplomacy

Social media images are central to the practice of digital diplomacy. Some of the most contentious political engagements involve digital images designed to challenge or reaffirm the national identity of key political players. Yet the role of touch in conditioning how social media images are seen is curiously absent from International Relations analyses of the visual politics of digital diplomacy. We know far too little about this phenomenon. This article seeks to contribute to the study of images in global politics by developing a tripartite theorization of how the visual, tactile, and emotional intersect to mediate how Twitter images are seen within the practice of digital diplomacy. The article pays attention to the tactile experience of using Twitter, bridging the gap between seeing social media images as visual objects, and the affective resonance these images have as a marker of political power. I argue that touch acts as a conduit between the embodied, material, and visual to produce an affective encounter that contributes to how users feel about Twitter images. The intertextuality of the visual, tactile, and emotional dynamics of Twitter images are important elements of visual social media practices sustaining the strategic representation of identity. This framework allows me to build a theoretically grounded skilful speculation as to how digital diplomacy crisis events such as the China-Australia Twitter spat unfold and resonate beyond the digital.

Psychological Profile of Serial Killers: Analysis of Personality Traits, Motivation and Emotional Dynamics

Psychological Profile of Serial Killers: Analysis of Personality Traits, Motivation and Emotional Dynamics

Deep emotion recognition in textual conversations: a survey

Emotion Recognition in Conversations (ERC) is a key step towards successful human–machine interaction. While the field has seen tremendous advancement in the last few years, new applications and implementation scenarios present novel challenges and opportunities. These range from leveraging the conversational context, speaker, and emotion dynamics modelling, to interpreting common sense expressions, informal language, and sarcasm, addressing challenges of real-time ERC, recognizing emotion causes, different taxonomies across datasets, multilingual ERC, and interpretability. This survey starts by introducing ERC, elaborating on the challenges and opportunities of this task. It proceeds with a description of the emotion taxonomies and a variety of ERC benchmark datasets employing such taxonomies. This is followed by descriptions comparing the most prominent works in ERC with explanations of the neural architectures employed. Then, it provides advisable ERC practices towards better frameworks, elaborating on methods to deal with subjectivity in annotations and modelling and methods to deal with the typically unbalanced ERC datasets. Finally, it presents systematic review tables comparing several works regarding the methods used and their performance. Benchmarking these works highlights resorting to pre-trained Transformer Language Models to extract utterance representations, using Gated and Graph Neural Networks to model the interactions between these utterances, and leveraging Generative Large Language Models to tackle ERC within a generative framework. This survey emphasizes the advantage of leveraging techniques to address unbalanced data, the exploration of mixed emotions, and the benefits of incorporating annotation subjectivity in the learning phase.

Toddlers' emotion vocalizations during peer conflicts and contingent teacher interventions in early care and education settings

AbstractThis study used naturalistic audio–visual recordings from early care and education (ECE) settings to examine the associations between toddlers' (76 toddlers, 40 female, Mage = 32.94 months, SD = 4.92 months) multimodal emotion expressions and emotion‐related vocalizations with contingent teacher interventions. Findings indicated a correspondence between multimodal emotion expressions and emotion‐related vocalizations, such that screams and yells corresponded with anger expressions, and cries corresponded with sadness expressions. Time series analysis indicated that toddlers' emotion vocalizations significantly predicted subsequent contingent teacher interventions. Specifically, toddlers' multimodal sadness expressions with vocalizations increased the likelihood of evoking a contingent teacher response seven times more than other emotions and vocalizations. Implications for multimodal emotion correspondences, emotion dynamics, and toddlers' distress expressions are discussed.

An emotional learning process? The role of socially induced and regulated emotions for the development of an entrepreneurial mindset

PurposeAlthough emotional dynamics (EDs) during the entrepreneurial learning (EL) process are acknowledged to promote the growth of an entrepreneurial mindset (EM), while having social causes, empirical research on learning mainly looks at emotions as socially isolated concepts. This study aims to investigate how socially induced and regulated emotions during the EL process affect EM development.Design/methodology/approachWe applied a qualitative, inductive approach related to interpretative phenomenological analysis to get deeply involved into individuals’ experienced emotions. We conducted semi-structured interviews with participants of two EL programs. Open-ended questions stimulated free narratives and detailed descriptions of experiences that were analyzed following a five-stage process.FindingsThere is a correlation between socially induced and regulated emotions and the development of EM elements. We suggest a framework for the EL process based on EDs, which triggers four main mechanisms that help individuals develop an EM: “re-assessment of individual emotions through EDs”, “EDs affected by facilitator intervention,” “sharing and co-creation of emotions,” and “sensemaking of experiences and emotions.”Originality/valueThis study adds to the knowledge on EDs during the EL process and contributes to the literature on EL and emotions in learning. Therewith, it helps to sensitize practitioners toward the complexity of emotions in the entrepreneurial process, allows to moderate individual emotional reactions and social Eds, and improves existing EE programs. Future research could investigate the interplay of specific personality traits, learning environments, and socioemotional team dynamics in EL.

Emotion coupling across socialization contexts in adolescence: Differences in parent-child and peer interactions.

People spontaneously adjust their emotions to others when they interact. This temporal coupling of emotions is an adaptive process facilitating social bonding. The present study examined differences in coupling patterns during parent-child versus peer interactions in adolescence, a developmental period marked by evolving parent-child dynamics and bond formation with peers. Because adolescents prioritize peer bonding while gradually asserting their autonomy from parental influence, we hypothesized that peer dyads showed stronger coupling than parent-adolescent dyads. Adolescents (age 16) with diverse ethnic backgrounds (N = 615; 50.2% female; 46.8% European American, 31.2% African American, 5.0% Hispanic, 3.0% Asian or Pacific Islander, 2.0% Native American, and 12.0% multiple ethnic backgrounds) participated in two videotaped interaction tasks: one with a parent and one with a self-nominated peer. Parent and peer interactions included discussions on positive and negative topics. Both dyad members' emotions were coded in real time. Cross-recurrence quantification analyses and growth-curve modeling revealed concurrent emotion coupling patterns, with peer dyads showing stronger coupling than parent-adolescent dyads. Moreover, peer dyads showed the most pronounced coupling patterns when they discussed personal problems, while parent-adolescent dyads showed the most pronounced coupling patterns when they discussed the planning of a fun activity. Our findings emphasize the importance of microlevel emotion dynamics in understanding larger scale developmental shifts in relationships during adolescence. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Physical Engagement in Face-to-Face Interaction Is Associated with Depressive Symptoms of Interaction Partners in the Workplace

Individuals develop interdependence through interactions. The process of physical coordination during face-to-face interactions facilitates relationship formation, emotional experiences, and emotional contagion. Workplaces inherently involve organic and continuous face-to-face interactions. Examining the interpersonal association between physical movement and emotional state among employees in the workplace is crucial for understanding an organization’s emotional dynamics. This study investigated the association between patterns of physical engagement during face-to-face interactions and depressive symptoms with those of interaction partners in a real-world workplace setting. The analysis utilized face-to-face interaction data from 449 employees across ten organizations, measured using wearable devices, along with a self-reported depression scale. The results showed that employees’ average physical engagement negatively correlated with the average depressive symptoms of their interaction partners, rather than their own. The association remained robust regardless of the number of relationships or workplace type. Furthermore, the depressive symptoms of individuals who had a significant influence on interpersonal relationships within organizations negatively correlated with their and their partner’s physical engagement. Our findings have important implications for the epidemiological understanding of organizational mental health in relation to face-to-face interactions among employees.

Integrating Diverse Data Streams for Enhanced Emotional Intelligence in Mental Health Care

This research presents a comprehensive system for real-time emotion recognition and analysis using multimodal data, including image, video, audio, and text. The system employs deep learning models to extract features and classify emotions from each modality. By integrating these predictions, we aim to provide a holistic understanding of a user's emotional state and assess potential risks. The system further analyzes the collected emotion data to identify trends, patterns, and indicators of emotional well-being and suicide risk. Visualizations such as time-series plots, distribution charts, and stacked area charts are employed to represent the emotional dynamics over time.Based on the analysis; the system generates personalized recommendations and alerts for users exhibiting signs of distress or emotional instability, including potential suicide risk factors. The goal is to promote proactive well-being management and early intervention. It is crucial to emphasize that this system is a tool for early detection and should be used in conjunction with professional mental health care.

Fluctuating emotional states before and during child sexual abuse and rape: a file review analysis of males in mandated care in The Netherlands

Purpose The purpose of this study is to examine emotional states preceding and during sexual crimes in a Dutch sample of adult male patients who were admitted to mandated clinical care. Design/methodology/approach Emotional states preceding child sexual abuse (CSA) (n = 63) and rape against adults (n = 60) were compared using the Mode Observation Scale. Findings CSA and rape were equally preceded by feelings of vulnerability, undifferentiated anger and loneliness and characterised by callous unemotionality. Emotional manipulation was more dominant in the events leading up to CSA, whereas an exaggerated sense of self-worth was more dominant in the event preceding rape. Substance-related detachment was more common preceding rape but was equally common during both types of crimes. Controlled anger was more common in rape. Practical implications CSA and rape crimes are predominantly characterised by similar emotional states of persons who were admitted to mandated clinical care. This informs the development of more effective therapeutic interventions and support services tailored to the emotional profiles of patients, potentially improving rehabilitation or treatment outcomes. Scientifically, the results of this study provide a compelling foundation for further research into the psychological mechanisms underpinning sexual violence. Originality/value While previous research has often focused on these crimes in isolation, this study bridges a critical gap by examining the emotional commonalities between them. This study challenges the conventional understanding that treats these forms of sexual violence as entirely distinct, proposing instead that they may share underlying emotional dynamics.

A generic self-learning emotional framework for machines

In nature, intelligent living beings have developed emotions to modulate their behavior as a fundamental evolutionary advantage. However, researchers seeking to endow machines with this advantage lack a clear theory from cognitive neuroscience describing emotional elicitation from first principles, namely, from raw observations to specific affects. As a result, they often rely on case-specific solutions and arbitrary or hard-coded models that fail to generalize well to other agents and tasks. Here we propose that emotions correspond to distinct temporal patterns perceived in crucial values for living beings in their environment (like recent rewards, expected future rewards or anticipated world states) and introduce a fully self-learning emotional framework for Artificial Intelligence agents convincingly associating them with documented natural emotions. Applied in a case study, an artificial neural network trained on unlabeled agent’s experiences successfully learned and identified eight basic emotional patterns that are situationally coherent and reproduce natural emotional dynamics. Validation through an emotional attribution survey, where human observers rated their pleasure-arousal-dominance dimensions, showed high statistical agreement, distinguishability, and strong alignment with experimental psychology accounts. We believe that the framework’s generality and cross-disciplinary language defined, grounded on first principles from Reinforcement Learning, may lay the foundations for further research and applications, leading us toward emotional machines that think and act more like us.

Exploring emotional dynamics: Word count effects in Facebook posts by sports shoe brands

This study examines the impact of word count in Facebook posts on user engagement and emotional responses, focusing on sports shoe brands. It addresses a research gap concerning the effects of post length on various emotional aspects and engagement metrics within social media marketing. Data were collected from January 1, 2024, to January 30, 2024, covering posts from January 2013 to December 2023 on official Facebook pages of several sports shoe brands. After cleaning an initial 723 posts, 636 were analyzed using statistical methods and Python libraries. Eight emotional aspects—fear, anger, sadness, trust, anticipation, joy, disgust, and surprise—were examined in relation to post length. Mean reaction values and emotional aspects were compared before and during the COVID-19 period. A structured equation model (SEM) in AMOS assessed these relationships. The analysis revealed that longer posts positively influenced trust (β = 0.208, ρ < 0.001), anticipation (β = 0.095, ρ < 0.05), joy (β = 0.259, ρ < 0.001), and surprise (β = 0.072, ρ < 0.05), but did not significantly affect fear (β = 0.065, ρ = 0.089), sadness (β = 0.054, ρ = 0.155), or disgust (β = 0.072, ρ = 0.116). During COVID-19, increased trust and anticipation were noted, while sadness and anger decreased. This study highlights that longer Facebook posts can enhance engagement through increased trust, anticipation, joy, and surprise, offering valuable insights for optimizing social media content strategies.

‘Sympathy for the devil’: The strategic use of the populist repertoire in Viktor Orbán’s politics

Populist politicians such as Viktor Orbán are masters at harnessing intense and polarizing moral emotions: they stigmatize the enemies of the people, offer their community protection as self-proclaimed heroes, and at the same time, othering and moral transgressing trigger emotional overreactions from opponents. This article draws on a new analytical framework that incorporates theories of social labeling (moral panic and euphoria, moral entrepreneurship) and heroic/charismatic leadership to explore this multifaceted and antagonistic emotional relationship associated with populists. The theoretical reasoning suggests that these emotional dynamics define the moral cornerstones and boundaries of populist identity politics. Based on an analysis of four illustrative Hungarian cases – the migration crisis, anti-gender politics, the Authorisation Act during the coronavirus pandemic, and Fidesz’s expulsion from the European People’s Party – the article shows that populists can follow different paths to become charismatic heroes in the eyes of his supporters, while others still see them as folk devils due to their controversial moral entrepreneurship.

AI-Enhanced GraphoText Analysis for Tracking Counselling Therapy Progress: Integrating Multimodal Graphology and Machine Learning

Despite the robustness of existing instruments, routine manual observation in psychotherapy faces significant challenges, including lack of time, labour, high implementation costs, and potential biases such as response bias and social desirability. This study proposes a dynamic assessment approach using machine learning and multimodal features extracted from handwriting, incorporating graphology-based and content-based features. The integration of content-based and graphology-based features involves combining text and handwriting features with the Support Vector Machine (SVM) using the Radial Basis Function Kernel (RBF). The results show that this approach achieves an impressive accuracy rate of 86.25%. The proposed framework not only improves psychotherapeutic practise, but also offers new insights into human cognition and emotional dynamics by revealing intricate patterns in handwriting. This advance facilitates data-driven decision-making, improves the quality of patient care, and overcomes challenges associated with manual monitoring, including social desirability bias and response set bias. This research paves the way for innovative methods at the interface of mental health and technology, and promises a more objective and efficient approach to monitoring the progress of psychotherapy.

Strategies and goals in Emotion Regulation models: a systematic review.

Studies examining the role of Emotion Regulation (ER) do not consistently explain the underlying model or theory they are employing, resulting in a conflation of different strategies and goals within the ER scientific literature. This study aims to conduct a systematic review and conceptual analysis of the primary strategies and goals advocated in the ER models, theories, and frameworks. Furthermore, we explored the distinctions between the prevailing contemporary ER models and classical conceptions of emotional dynamics, such as those proposed by Aristotle, Descartes, and Darwin. An electronic search was conducted in the Web of Science, Medline, and Scopus databases in November 2023. The key search terms used were grouped into two different topics: Emotion Regulation and Models/Theories/Frameworks. Articles were included if they reported one or more ER model in healthy individuals or emotionally disordered individuals and if they were published in a peer-reviewed journal in English in the last 5 years (from 2019 to 2023). A total of two reviewers independently assessed the titles, abstracts, and full texts. Models identified were summarized and classified based on the different ER strategies and goals. Of the 1,012 titles for initial consideration, 139 articles met the full eligibility criteria and were included for data extraction and synthesis. The review identified 10 ER models, and the most commonly used were the Process Model of Emotion Regulation and the Difficulties in Emotion Regulation. There was a great deal of homogeneity among the proposed ER strategies and goals: the cognitive dimension is the core of ER strategy, and the ER goals are primarily hedonic or instrumental in nature. Both Descartes and Darwin views were present in the ER models; however, some of the most significant contributions in Aristotelian proposal seem to be forgotten, such as the integration of the physical, operational, and growth dimensions (eudaimonic goals). This systematic review was conducted in accordance with the PRISMA guidelines and was preregistered at Prospero platform (CRD42023491948).

Expanding knowledge on emotional dynamics and viewer engagement: The role of travel influencers on youtube

This study investigates how the discrete emotions expressed by travel influencers on YouTube influence viewer engagement, distinguishing between macro- and micro- influencers. Using text mining and machine learning techniques, 6,061 travel-related videos were analyzed. The results indicate that high-arousal negative emotions such as anger and disgust enhance engagement for macro-influencers but reduce engagement for micro- influencers. Conversely, low-arousal negative emotions, such as fear and sadness, increase engagement levels for micro-influencers, while decreasing them for macro-influencers. Positive emotions enhance engagement, particularly among micro-influencers. These insights can inform emotional strategies in influencer marketing.

Building patient safety culture by using interprofessional simulation with nursing, paramedic and emergency telecommunication students: A mixed-methods research study

AimThe aim of this study was to investigate student attitudes toward interprofessional education and collaborative practice and their perceptions of simulation design elements after participating in an interprofessional simulation educational activity. BackgroundPatient safety continues to be an international healthcare priority. However, critical incidents to patients continue to persist due to poor communication between professionals and poor teamwork. DesignA mixed methods design. MethodThe study sample consisted of Bachelor of Nursing (n=81), Paramedic (n=38) and Emergency Telecommunication (n=11) students randomized into interprofessional groups. Following the interprofessional learning experience, students completed two standardized self-reporting instruments, Students Perceptions of Interprofessional Clinical Education, National League for Nursing Simulation Design Scale and open-ended questions of their perceptions on teamwork and collaboration, communication skills, transfer of care and patient safety. ResultsStudents in each program reported high scores for attitudes toward the importance of teamwork and collaborative practice. There were significant differences in scores between programs for the ranking factors ‘Teamwork and Team-Based Practice’ (BN=4.74SD 0.72, PM=4.66SD 0.81, ET=4.95SD 0.15 *; p = 0.00005) and ‘Roles & Responsibilities’ (BN=3.78SD 1.12, PM=3.55SD 0.92, ET=4.67SD 0.85*; p= 0.012). Themes included: communication and collaboration in teamwork; roles, responsibilities and leadership; patient-centred care and safety; and emotional dynamics and professional growth. ConclusionAn interprofessional simulation is an effective strategy to practice teamwork and collaboration and communication skills during transfer of care. Ensuring earlier education of roles and responsibilities during transfer of care needs review as do strategies for structured handover communication tools.

Unveiling the Emotional Dynamics of Sports

Abstract: The variety of visible behaviors after winning or losing in sports reveals a lot about the psychological challenges players face during a sport competition. In this article, grounded in appraisal emotion approaches, self-regulation theory, as well as the biocultural framework of nonverbal behavior, I present findings on (a) how these affective expressive behaviors can partially be explained (i. e., their antecedents) and (b) how they might influence sport performance (i. e., their consequences). Regarding their antecedents, situational factors related to the importance of the situation, the outcome of the point, as well as players’ self-talk have been shown to be associated with these behaviors. While players report various performance-related inter- and intrapersonal consequences, the findings on associations with objective performance indicators show some inconsistency. Several directions for future research are subsequently discussed that may help improve the understanding of affective expressive behaviors in sport.

Disability and infidelity with a cross-cultural couple: an emotionally focused therapy case study

ABSTRACT This clinical case study delves into the therapeutic process of a cross-cultural couple, facing the intersection of disability and infidelity concerns. This intersection illuminates the intricate dynamics that arise when couples navigate both the complexities of disability and the emotional turmoil associated with infidelity. Utilizing Emotionally Focused Therapy (EFT), case intervention unfolded through three distinct stages, revealing intricate emotional dynamics, attachment styles, and communication patterns. The study explores the couples’ narrative, negative interaction cycles, and distinct emotional processing styles, considering complicating factors such as immigration challenges, cultural norms, and online infidelity. To strengthen bonds, the therapeutic approach promotes cultural sensitivity, intersectionality, and emotional connection. Despite time constraints and visa issues, the study highlights the efficacy of EFT in navigating the complexities of this cross-cultural couple. This case study contributes to the existing literature by examining the interplay of disability, infidelity, and cultural diversity within the framework of couples’ therapy.

How emotional contagion shapes spiritual care competence: Insights from a cross-sectional study on intensive care nurses.

Intensive care units (ICUs) are environments where nurses are open to emotional interactions because of complex structures and dynamic relationships. Nurses' susceptibility to emotional contagion and their spiritual care competence may affect the quality of care by influencing their ability to manage and respond to the emotional dynamics present in these environments. This study aimed to determine the level of emotional contagion and spiritual care competence in intensive care nurses. This study is a descriptive cross-sectional study conducted with 199 nurses working in the ICUs of a training and research hospital in Turkey. The data were collected between December 2021 and June 2022 using the Emotional Contagion Scale (ECS) and the Spiritual Care Competence Scale (SCCS). The mean score of the nurses was 50.29 ± 15.36 on the ECS and 90.29 ± 29.53 on the SCCS. A statistically significant difference was found between the ECS and SCCS and gender, marital status, weekly working hours and some approaches about spiritual care (p < .05). It was determined that there was a statistically significant positive correlation between the total scales and sub-dimensions of the ECS and SCCS (p < .05). In this study, it was found that intensive care nurses' susceptibility to emotional contagion was high, and that their spiritual care competence was at a moderate level. The results show that gender, marital status, weekly working hours, type of ICU and some approaches about spiritual care are crucial factors in nurses' emotional contagion and spiritual care competence. In addition, as the intensive care nurses' susceptibility to emotional contagion increased, their spiritual care competence also increased. The results of this study will guide the planning of interventions to protect intensive care nurses from the negative effects of emotional contagion and increase their spiritual care competence. It is necessary to protect intensive care nurses from the negative effects of emotional contagion and to increase their competences in spiritual care.