Emotional Transition Research Articles

Up in the Air: Using Blogs to Study the Identity and Emotion Transitions of the Unemployed

The 2008 recession caused unemployment, motivating individuals to evaluate their work-related identity. We qualitatively study such identity transitions and emotions during: (1) involuntary job loss, (2) subsequent unemployment, (3) job search, (4) underemployment, and (5) reemployment. We analyzed fifteen blogs of individuals laid off from October 2008 to April 2011. Blogs provide a rich medium to study of thoughts and feelings due to non-researcher-influenced discourse. Using grounded theory, we construct a model of the various transitions work-related identity undergoes. We also note how opposing sets of emotions interact with cognitive ideological techniques during identity transitions to produce varying outcomes.

Effect of Chromatic Lighting on Emotional Change in the Observation of Affective Pictures

The purpose of this study was to analyze the effect of chromatic lighting on the transition from the current emotional state to the desired emotional state. Most previous studies on color and emotion have analyzed the input-output relationship based on one-to-one correspondence between color and emotion under neutral emotion. In this study, we analyzed the relationship between the type of emotion and the lighting color and showed that the transition of emotion can change depending on the current emotional state even under the same lighting color. To improve the stability of experiments, the authors modified the emotion elicitation and analysis methods and compared the findings to our previous studies. We experimentally examined the effects of chromatic lighting on emotions induced by the International Affective Picture System (IAPS) using heart rate variability indices. The results suggest that there are chromatic illuminants that are effective in promoting or suppressing positive and negative emotions. In particular, the results of the heart rate data analysis were more stable and reliable for the chromatic illumination that was effective in promoting and suppressing negative emotions (investigated in the negative impression images) compared to the positive impression group.

Statistical Model of College Students’ Mental Health Based on the Law of Large Numbers

Abstract This paper constructs a mental health probability space based on the law of large numbers. First, this paper defines and predicts the transition of personal emotion and the transmission of emotion. This study treats emotion as two random stages. At the same time, according to the initial parameters of each different stage model, a psychological model with individual characteristics based on the Markov chain is established. It can predict the outcome of emotional activities emotionally. Finally, numerical simulation is carried out with Matlab. The results show that the prediction method can well reflect the emotional state transmission. It can be used in psychological prediction simulations of individuals. The mental health statistical model based on the law of large numbers established in this paper opens up a new way for individual psychological counseling and mental health training.

Transformer-based Siamese and Triplet Networks for Facial Expression Intensity Estimation

Recognizing facial expressions and estimating their corresponding action units’ intensities have achieved many milestones. However, such estimating is still challenging due to subtle action units’ variations during emotional arousal. The latest approaches are confined to the probabilistic models’ characteristics that model action units’ relationships. Considering ordinal relationships across an emotional transition sequence, we propose two metric learning approaches with self-attention-based triplet and Siamese networks to estimate emotional intensities. Our emotion expert branches use shifted-window SWIN-transformer which restricts self-attention computation to adjacent windows while also allowing for cross-window connection. This offers flexible modeling at various scales of action units with high performance. We evaluated our network’s spatial and time-based feature localization on CK+, KDEF-dyn, AFEW, SAMM, and CASME-II datasets. They outperform deep learning state-of-the-art methods in micro-expression detection on the latter two datasets with 2.4% and 2.6% UAR respectively. Ablation studies highlight the strength of our design with a thorough analysis.

Thinking out of feeling: Vygotsky and the emotional transition from early childhood to school age in Korean Language

ABSTRACT This paper, conceptual but with empirical support, fills in some blanks in Vygotsky’s reworking of Spinoza’s Ethics. Here Vygotsky sought to develop a developmental theory of emotions that would fit his developmental theory of higher psychological functions; that is, one which used function to explain how structure changes (much as Darwin had already done) and used social and cultural history to explain how functions change (much as Halliday would later do). We propose three ways – roughly, the structural, the functional, and the developmental – to continue Vygotsky’s unfinished ‘The Teaching about Emotions’, which we illustrate with instances from classroom data. Using the systemic-functional approach of Halliday, we show how language development provides an answer to the Cartesian dualism that has divided thinking from feeling, how objective logical and experiential meanings emerge from emotionally colored and interpersonal ones, and how the study of speech can bypass the ‘theory of mind’ problems that have long bedevilled child development studies. Each step draws support from a teaching log of first year elementary students in South Korea maintained by one of the authors, and each step suggests a different kind of classroom talk.

Recognition of human emotion transition from video sequence using triangulation induced various centre pairs distance signatures

Human emotion recognition manifests the concept of contextual understanding of human communication in nonverbal form. This fascinates us to monitor the dynamic information of an emotion. In this article, we present an automatic recognition system for observing gradual changes in human emotion available in the form of a video sequence. In our proposed system, we introduce a triangulation mechanism for geometric feature generation from salient landmarks on the face image. Here, well known active appearance model (AAM) is applied to consecutive image frames in a sequence to track all locations of landmark points. In this work, we explore four centre points (Incentre, Circumcentre, Barycentre, and Orthocentre) from all the triangles formed by salient facial points selected in a triplet. Six different geometric distance signatures viz. Incentre–Circumcentre, Incentre–Barycentre, Incentre–Orthocentre, Circumcentre–Barycentre, Circumcentre–Orthocentre, and Barycentre–Orthocentre are extracted accordingly by taking all possible pairs of those four centres into account to signify several ways of the geometric representation of an emotional image sequence. The discriminative merit of each distance signature is analysed independently by employing them separately as input feature sets into a multilayer perceptron (MLP) classifier for recognition of six basic emotions(anger, disgust, fear, happiness, sadness, and surprise). We verify the performance of our proposed system through the experimentation on several publically available benchmark video datasets such as Extended Cohn–Kanade (CK＋), M&M Initiative (MMI), and Multimedia Understanding Group (MUG). Experimental results indicate impressive accuracy of 98.47% for CK＋, 92.57% for MMI, and 98.62% for the MUG dataset on Incentre–Circumcentre pair distance signature. Moreover, to justify the effectiveness of our proposed method we compare our experimental results with other existing states of the art available in the literature.

Cognitive networks detect structural patterns and emotional complexity in suicide notes.

Communicating one's mindset means transmitting complex relationships between concepts and emotions. Using network science and word co-occurrences, we reconstruct conceptual associations as communicated in 139 genuine suicide notes, i.e., notes left by individuals who took their lives. We find that, despite their negative context, suicide notes are surprisingly positively valenced. Through emotional profiling, their ending statements are found to be markedly more emotional than their main body: The ending sentences in suicide notes elicit deeper fear/sadness but also stronger joy/trust and anticipation than the main body. Furthermore, by using data from the Emotional Recall Task, we model emotional transitions within these notes as co-occurrence networks and compare their structure against emotional recalls from mentally healthy individuals. Supported by psychological literature, we introduce emotional complexity as an affective analog of structural balance theory, measuring how elementary cycles (closed triads) of emotion co-occurrences mix positive, negative and neutral states in narratives and recollections. At the group level, authors of suicide narratives display a higher complexity than healthy individuals, i.e., lower levels of coherently valenced emotional states in triads. An entropy measure identified a similar tendency for suicide notes to shift more frequently between contrasting emotional states. Both the groups of authors of suicide notes and healthy individuals exhibit less complexity than random expectation. Our results demonstrate that suicide notes possess highly structured and contrastive narratives of emotions, more complex than expected by null models and healthy populations.

Evolution of the academic emotions of academically low-achieving students in knowledge building

Knowledge Building is a pedagogical approach that emphasizes students’ collective responsibility to continuously improve their community knowledge. Advancing the frontiers of community knowledge is an exciting but challenging process, especially for low-achieving students, because it involves a continuous experience of cognitive disequilibrium and equilibrium. This knowledge generation process triggers various emotions (e.g., curiosity, surprise, and confusion) that may promote or hinder Knowledge Building. This study investigated the types and evolution of emotions experienced by academically low-achieving students in the Knowledge Building process supported by Knowledge Forum. The participants were 120 students from two Grade 9 classes and two Grade 11 classes in a Band 3 secondary school in Hong Kong. This school enrolls students performing at the 10th percentile on a pre-admission government examination at the end of elementary school. The participants built knowledge around Visual Arts. The emotions reflected in the digital Knowledge Forum notes and the evolution patterns of emotions in inquiry threads were both analyzed using content analysis and sequential pattern analysis. The participants demonstrated a high percentage of joy and relatively low percentages of frustration and boredom. Emotions were likely to maintain consistency (e.g., joy to joy) or transition between similar emotions (e.g., boredom to frustration) in the inquiry threads. By synthesizing the emotion transitions and subsequences manifested in the inquiry threads of different classes, we constructed a model of the evolution of emotions of academically low-achieving students during Knowledge Building. This model has implications for designing scaffolding or interventions to facilitate low-achieving students' learning and promote favorable emotions.

Some Thoughts on Doctoral Supervision

This reflective account discusses the cultural and emotional forces underneath supervisor-supervisee relation in doctoral supervision. It highlights the dynamics and challenges in forming a good relationship which can support doctoral students. Questions were raised about the power balance between the parties, gratitude embedded in this relationship, and the extent to which emotional transition is possible in doctoral supervision. The essay concludes that doctoral supervision is a long and endless learning process that takes us from one stop to the next.

AİLE ARABULUCULUĞU UYGULAMA BECERİLERİ

Aile arabuluculuğunun uygun uygulama biçiminin nasıl olacağı konusunda bir fikir birliği bulunmasa da bir aile arabulucunun nasıl “iyi” olacağı ve aynı zamanda hangi becerileri taşıması gerektiği konusunda yapılan araştırmalar bazı noktalara dikkat çekmiştir. 
 Bu çalışmamızda etkili bir aile arabulucusunun konusunda bilgili, çatışma çözme becerilerinin gelişmiş, boşanmanın tüm aşamaları konusunda temel bir bilgi ve uyuşmazlığı çözmek için gerekli olabilecek ek uzmanlıklara sahip, aktif bir dinleyici, sabırlı, taraflarla doğru iletişim kurabilen, güven duygusu oluşturabilen, değerlere saygılı, kontrolü elinde tutabilen, tarafların duygusal geçişlerini yönetebilen ve altta yatan ihtiyaçlarını keşfederek onları çözüme doğru taşıyabilen empatiyle dinleyebilen ve davranabilen bir kişi olmasının önemi vurgulanmış ve içerikler açıklanmıştır.
 Aile arabuluculuğu, uygulayıcının bir dizi beceriyi ustalıkla uygulayabilmesini gerekli kılar. Aile Arabulucuları süreç içinde karmaşık bir çaba içindedir. Bu becerilerde ustalaşmak ve etkin kullanımın sağlanması tam ve eksiksiz entegrasyon gerektirir. Zaman ve deneyim en iyi rehberdir.

'My biggest fear is that people will forget about him': Mothers' emotional transitions after terminating their pregnancy for medical reasons.

To explore women's emotional responses throughout the process of terminating a pregnancy for medical reasons. Making the choice to terminate a desired pregnancy for medical reasons has a negative impact on women's health, as it is a distressing process that involves making hard decisions and readjusting one's expectations of an idealised pregnancy. A qualitative phenomenological study was conducted following the COREQ checklist. Fifteen semi-structured interviews and two focus groups were conducted with women who had terminated their pregnancies for medical reasons, previous to and during the COVID-19 lockdown. Subsequently, we analysed the content. One main category, emotional journey during the process of terminating the pregnancy, and six subcategories were identified: (I) representation and desire to become a mother, (II) main concerns, (III) impact of the news, (IV) decision-making, (V) emotional responses before termination for medical reasons and (VI) emotional responses after termination for medical reasons. All contributed to understanding the specificities of the different phases that make up the emotional journey of terminating a pregnancy for medical reasons. The findings of this study suggest that there are a number of predominant emotions that professionals need to be aware of in order to help women work through them and lessen the impact of pregnancy termination on their mental health. COVID-19 had different connotations depending on the women's experiences. Our results highlight how important the role of healthcare staff is in caring for these women and their partners, which involves recognising their emotions throughout the process. Our results also underline how useful it is to conduct qualitative studies in this context, since they constitute a set of activities and interventions that result in the administration of nursing care in itself. The ultimate goal of the action research study is to design a positive mental health intervention. Participants will contribute to the design and final approval of the intervention.

Accurate emotion prediction in dyads and groups and its potential social benefits.

Emotion dynamics vary considerably from individual to individual and from group to group. Successful social interactions require people to track this moving target in order to anticipate the thoughts, feelings, and actions of others. In two studies, we test whether people track others' emotional idiosyncrasies to make accurate, target-specific emotion predictions. In both studies, participants predicted the emotion transitions of a specific target-either a close friend (Study 1) or a first-year college roommate (Study 2)-as well as an average group member. Results demonstrate that people can make highly accurate predictions both for specific individuals and specific groups. Accurate predictions rely on target-specific knowledge; new community members were able to make accurate predictions at zero-acquaintance, but accuracy increased over time as individuals accrued specialized knowledge. Results also suggest that accurate emotion prediction is associated with social success in both individual and communal relationships and that such a relation might emerge over time. Overall, our studies suggest that people accurately make individualized predictions of others' emotion transitions and that doing so fulfills a meaningful function in the social world. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Emotional Impacts among Adolescents of Divorced Parents

This study aimed to explore the understanding, impact on emotions, and ways of emotional management of adolescents of divorced parents. The study also explores their ways of dealing with the issue of divorce. The study method was qualitative with a case study design. Interviews with four study participants were conducted with adolescents of divorced parents. A set of questions was drafted as an interview guide and transcribed. Next, it is analyzed using thematic and coding methods. The results of this study show that adolescents of divorced parents have a clear understanding of divorce. There are effects on emotions before, during, and after the divorce. It shows that these divorces have a big impact on the emotional transition they feel and it is difficult to shift to positive emotions. The way of emotional management stated by the respondents covers various aspects and a comprehensive conclusion can be concluded.

The emotional transition to online teaching: grief, loss, and implications for academic development

ABSTRACT Moving to online teaching is an emotional experience for university educators. With increased demand for online learning, understanding emotions associated with this change is important so support can be provided. In a novel use of the Kübler-Ross model to illuminate educators’ emotions about transitioning online, this study analysed texts from a collaborative autoethnography and identified emotions associated with each stage. Loss was related to changed relationships with students, curriculum, and teaching practice. To assist staff to navigate and learn from change, institutions should foster dialogue that surfaces emotions, while harnessing educators’ commitment to student success as sources of excitement and hope.

ROLE OF INTERDISCOURSE RELATIONS IN CREATING EMOTIVENESS IN TERRY PRATCHETT’S FANTASY NOVELS

This article analyzes the role of interdiscourse relations in the formation of emotive component of the novels of fantasy series “Discworld” by Terry Pratchett. Interdiscoursivity is regarded as the interaction of one-level and multilevel components of a discourse within the imaginative discourse of fantasy novels. Interdiscource relations presuppose the interaction of the elements that are integral parts of the discourse, namely, the subjects of discourse, communicative situations, facts relating to a certain type of discourse, nonverbal components. It has been revealed that such relations are implemented as the incorporation of different language verbal and non-verbal means that are of great cultural significance, and that include precedent texts (55.5 %), precedent names (4,2 %), precedent situations (12,1 %), and precedent phenomena (28,2 %). The article also deals with the references of interdiscourse means, as well as their meaning in triggering emotions of a recipient: the contribution to the realization of the fantasy world reality is supported by the introduction of the references to natural and scientific phenomena, the borrowing of folklore realia, appealing to every-day situations, as well as by using allusions to famous pieces of arts. Precedent situations that are characteristic features of earthly world, are incorporated into the fantasy Discworld with the help of reminiscence and architextual relations, whereas precedent names are used to intensify the identity of the imaginative world and the reality. Our work emphasizes that apart from the enhancement of emotional connection between real and fantasy world and the formation of the sense component of the text, interdiscourse relations assist in creating emotional strength, which is required by the author, thus, implementing pragmatic function of the author’s self-expression and the emotional influence on a recipient. The mechanism of the transition of emotions is interdiscoursivity as dialogic relations that have gnoseological, communicative and linguistic aspects of expression. Interdiscourse relations contributing to emotional readiness of a recipient to create a fantasy world in his/ her own mind basing on the author’s ideas, identify the imaginative world with the reality with the help of precedent phenomena, precedent situations, and precedent names.

THE PERСEPTION OF THE SPANISH NATURE IN THE NOVEL “FOR WHOM THE BELL TOLLS” BY ERNEST HEMINGWAY

This article analyzes the role of interdiscourse relations in the formation of emotive component of the novels of fantasy series “Discworld” by Terry Pratchett. Interdiscoursivity is regarded as the interaction of one-level and multilevel components of a discourse within the imaginative discourse of fantasy novels. Interdiscource relations presuppose the interaction of the elements that are integral parts of the discourse, namely, the subjects of discourse, communicative situations, facts relating to a certain type of discourse, nonverbal components. It has been revealed that such relations are implemented as the incorporation of different language verbal and non-verbal means that are of great cultural significance, and that include precedent texts (55.5 %), precedent names (4,2 %), precedent situations (12,1 %), and precedent phenomena (28,2 %). The article also deals with the references of interdiscourse means, as well as their meaning in triggering emotions of a recipient: the contribution to the realization of the fantasy world reality is supported by the introduction of the references to natural and scientific phenomena, the borrowing of folklore realia, appealing to every-day situations, as well as by using allusions to famous pieces of arts. Precedent situations that are characteristic features of earthly world, are incorporated into the fantasy Discworld with the help of reminiscence and architextual relations, whereas precedent names are used to intensify the identity of the imaginative world and the reality. Our work emphasizes that apart from the enhancement of emotional connection between real and fantasy world and the formation of the sense component of the text, interdiscourse relations assist in creating emotional strength, which is required by the author, thus, implementing pragmatic function of the author’s self-expression and the emotional influence on a recipient. The mechanism of the transition of emotions is interdiscoursivity as dialogic relations that have gnoseological, communicative and linguistic aspects of expression. Interdiscourse relations contributing to emotional readiness of a recipient to create a fantasy world in his/ her own mind basing on the author’s ideas, identify the imaginative world with the reality with the help of precedent phenomena, precedent situations, and precedent names.

A STUDY ON EMOTIONAL AND SOCIAL TRANSITION IN EARLY ADULTHOOD

This paper is about the social and emotional transition during the early adulthood an individual go to which they are not prepared and hence end up with depression.

Transition of emotions from the negatively excited state to positive unexcited state: an ERP perspective

Transition of emotions from the negatively excited state to positive unexcited state: an ERP perspective

Empathic conversational agents for real-time monitoring and co-facilitation of patient-centered healthcare

Healthcare systems across the world are transitioning into patient-centered healthcare models to ensure improved health outcomes, increased operational efficiencies and respectful patient engagement. Digital health technologies are at the forefront of this transition in facilitating a role for the patient in the clinical dimensions of the healthcare trajectory, from diagnosis and interventions to treatment and recovery. Despite this prevalence in the clinical space, the non-clinical needs of patient mental health and wellbeing are frequently overlooked by contemporary patient-centered healthcare models. Conversational agents (or chatbots) are digital dialogue systems that are widespread and widely used in sequential information provision and information acquisition tasks. Given the intimate nature of this human-machine interaction, conversational agents can be effectively utilized to support and sustain patient mental health and wellbeing. In this paper, we propose an empathic conversational agent framework based on an ensemble of natural language processing techniques and artificial intelligence algorithms for real-time monitoring and co-facilitation of patient-centered healthcare for improved mental health and wellbeing outcomes. The technical contributions of this framework are; detection of patient emotions, prediction of patient emotion transitions, detection of group emotions, formulation of patient behavioral metrics, and resource recommendations based on patient concerns. The architectural contributions of the framework are intelligent communication channels that stream empathic conversational elements and resource recommendations for the multi-user conversations and co-facilitation updates for the human healthcare provider interface. The framework was empirically evaluated on a benchmark dataset and further validated based on a clinical protocol designed for its application in an online support group setting for cancer patients and caregivers in Canada. The results of these experiments confirm the effectiveness of this framework, its contributory role and practical value in realizing a patient-centered healthcare model for improved mental health and wellbeing outcomes.

Neural Responses During Emotion Transitions and Emotion Regulation.

Why are some people more susceptible to interference from previous emotional stimuli? Neural mechanisms underlying emotion regulation are typically studied with one-off positive or negative stimuli. Less is known about how they operate during dynamic emotional experiences, which more closely resemble how emotions occur in real life. Therefore, we investigated the interaction among temporal context, stimulus content, and regulatory strategy. Image sequences included either neutral to negative emotion or negative to neutral emotion. Participants were instructed to either passively watch the emotional stimuli or apply cognitive reappraisal during the image sequences presentation. Participants also reported their habitual use of cognitive reappraisal in their daily lives on a standard scale. We measured functional connectivity (FC) with electroencephalography (EEG) source localization. A three-way interaction suggested that, in addition to momentary emotional content and regulatory effort, the temporal context of stimuli impacts the FC between the ventromedial prefrontal cortex (vmPFC) and the ventral anterior cingulate cortex (ACC) in both alpha and beta frequency bands. In the reappraisal condition—but not the passive watch conditions—, individual differences in habitual reappraisal were manifested in the FC of vmPFC-ACC in alpha band. Emotion transitions may be more demanding because prefrontal-posterior FC in the beta band decreased during emotion transitions regardless of emotional content or regulation efforts. Flexible emotion regulation enables the recruiting of neural activities in response to the content of dynamic, ever-changing experiences encountered in daily life. Studying brain responses to dynamic emotional stimuli may shed light on individual differences in adaptation and psychological health. It also provides a more ecologically valid assessment of emotion regulation.