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Artykuły w czasopismach na temat "Emotions"

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Brito, Pedro Quelhas, Sandra Torres i Jéssica Fernandes. "What kind of emotions do emoticons communicate?" Asia Pacific Journal of Marketing and Logistics 32, nr 7 (10.12.2019): 1495–517. http://dx.doi.org/10.1108/apjml-03-2019-0136.

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Purpose The purpose of this paper is to study the nature and concept of emoticons/emojis. Instead of taking for granted that these user-generated formats are necessarily emotional, we empirically assessed in what extent are they and the specificity of each one. Drawing on congruent mood state, valence core and emotion appraisal theories we expected a compatible statistical association between positive/negative/neutral emotional valence expressions and emoticons of similar valence. The positive emoticons were consistently associated with positive valence posts. Added to that analysis, 21 emotional categories were identified in posts and correlated with eight emoticons. Design/methodology/approach Two studies were used to address this question. The first study defined emoticon concept and interpreted their meaning highlighting their communication goals and anticipated effects. The link between emojis and emoticons was also obtained. Some emoticons types present more ambiguity than others. In the second study, three years of real and private (Facebook) posts from 82 adolescents were content analyzed and coded. Findings Only the neutral emoticons always matched neutral emotional categories found in the written interaction. Although the emoticon valence and emotional category congruence pattern was the rule, we also detected a combination of different valence emoticons types and emotion categories valence expressions. Apparently the connection between emoticon and emotion are not so obviously straightforward as the literature used to assume. The created objects designed to communicate emotions (emoticons) have their specific corresponding logic with the emotional tone of the message. Originality/value Theoretically, we discussed the emotional content of emoticons/emojis. Although this king of signals have an Asian origin and later borrowed from the western countries, their ambiguity and differing specificity have never been analyzed.
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Bulegenova, Indira B., Irina S. Karabulatova, Gulzira K. Kenzhetayeva, Gulshat Z. Beysembaeva i Yrysgul B. Shakaman. "Negativizing emotive coloronyms: A Kazakhstan-US Ethno-Psycholinguistic comparison". Revista Amazonia Investiga 12, nr 67 (30.08.2023): 265–82. http://dx.doi.org/10.34069/ai/2023.67.07.24.

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Neurotargeting prioritizes emotions in understanding collective unconscious and individual behavior. Comparative emotive linguistics reveals cross-cultural emotional expression variations. Despite extensive emotion research, gaps remain due to differing response norms. Psychology understands emotions well, but lacks universal classification, hindering linguistic description. Confusion between emotion and emotive obscures psychophysiological and verbal distinctions. Nonverbal emotives, reflecting emotions, require analysis of generation and expression mechanisms. This study examines color's role in conveying negative emotions in Kazakh writer A. Nurpeisov's "Blood and Sweat" and American writer T. Dreiser's "Trilogy of Desire." Authors use linguistic and nonverbal methods to portray emotions. Hypothesis: color as emotive state designation functions with "permissible-unacceptable" and "good-bad" evaluations, evident in shaping emotional reality perception. Analyzing coloristic negative emotives uncovers ethno-cultural metaphorical models, connecting emotive coloronyms with basic emotional concepts. Findings aid standardizing cognitive mechanisms for understanding mental experiences and comparative emotive linguistic terminology.
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Grinevich, A. A. "Emotions in Kazym Khanty Ritual Bear Songs". Critique and Semiotics 38, nr 2 (2020): 220–36. http://dx.doi.org/10.25205/2307-1737-2020-2-220-236.

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The article describes emotional code of Kazym Khanty ritual bear songs. Psychologism and emotionality don’t enter archaic folklore. However if emotions are presents in a texts, its description is very accurate and physiological. The emotional code intersects with a body code. The description of emotions depends on genre. The largest number of emotives and descriptive expressions of emotions we found in songs performed on behalf of the bear kaiqәŋ ar. Emotions play plot-forming function in two songs of this genre “Winter sleeping beast” and “Down descending song”. It demonstrates motivational aspect in the emotion functioning. The most frequent emotions are fear and anger. Their descriptions are most diverse and frequent.
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Ptaszynski, Michal, Jacek Maciejewski, Pawel Dybala, Rafal Rzepka i Kenji Araki. "CAO: A Fully Automatic Emoticon Analysis System". Proceedings of the AAAI Conference on Artificial Intelligence 24, nr 1 (4.07.2010): 1026–32. http://dx.doi.org/10.1609/aaai.v24i1.7715.

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This paper presents CAO, a system for affect analysis of emoticons. Emoticons are strings of symbols widely used in text-based online communication to convey emotions. It extracts emoticons from input and determines specific emotions they express. Firstly, by matching the extracted emoticons to a raw emoticon database, containing over ten thousand emoticon samples extracted from the Web and annotated automatically. The emoticons for which emotion types could not be determined using only this database, are automatically divided into semantic areas representing "mouths" or "eyes," based on the theory of kinesics. The areas are automatically annotated according to their co-occurrence in the database. The annotation is firstly based on the eye-mouth-eye triplet, and if no such triplet is found, all semantic areas are estimated separately. This provides the system coverage exceeding 3 million possibilities. The evaluation, performed on both training and test sets, confirmed the system's capability to sufficiently detect and extract any emoticon, analyze its semantic structure and estimate the potential emotion types expressed. The system achieved nearly ideal scores, outperforming existing emoticon analysis systems.
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Lee, Mikyoung, i Keum-Seong Jang. "Nurses’ emotions, emotion regulation and emotional exhaustion". International Journal of Organizational Analysis 27, nr 5 (4.11.2019): 1409–21. http://dx.doi.org/10.1108/ijoa-06-2018-1452.

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Purpose The purpose of this study is to investigate the relations between emotion regulation (reappraisal and suppression), discrete emotions and emotional exhaustion among nurses. Design/methodology/approach A cross-sectional design was used with 168 nurses in South Korea. Structural equation modeling and path analysis were conducted for analysis. Findings Reappraisal correlated positively with enjoyment and pride and negatively with anxiety, anger and frustration, whereas suppression correlated negatively with enjoyment and positively with anxiety and frustration. Moreover, reappraisal was negatively associated with emotional exhaustion, whereas suppression was positively associated with it. Enjoyment was negatively related to emotional exhaustion, and anger and frustration were positively related to it. Enjoyment and frustration mediated the relation between emotion regulation and emotional exhaustion. Findings demonstrate the potentially beneficial influences of reappraisal as well as harmful impacts of suppression in the nursing context. Research limitations/implications This paper expands research on nurses’ emotion management by applying Gross’s emotion regulation framework rather than Hochschild’s emotional labor framework. The mediating result suggests that not only nurses but also hospital administrators and nurse managers should pay attention to nurses’ emotional experiences to improve nurses’ well-being and ultimately better nursing practice. This research can provide the basis for developing practical interventions to efficiently regulate nurses’ emotions. Originality/value This is the first study exploring the mediating role of emotions in the link between nurses’ emotion regulation and emotional exhaustion. It contributes to interdisciplinary research by integrating perspectives from psychological emotion and emotion regulation research into the nursing field.
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Khvostenko, Y., i I. Redka. "EMOTIVES OF SURPRISE IN MODERN ENGLISH POETRY". Studia Philologica 1, nr 16 (2021): 29–34. http://dx.doi.org/10.28925/2311-2425.2021.164.

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The paper focuses on linguistic manifestation of emotion of surprise in modern English poetic texts. The study is guided by the statement that emotions – psychosomatic processes – can be fixed in fictional texts (including the poetic ones) in the form of emotives – the linguistic units that manifest emotions and/or feelings of the addresser. The emotion of surprise differs from other basic emotions of a person due to its ambivalence and specific prerequisites to emergence. As surprise comes forth unexpectedly, the study looks for basic situations in the context of poetic texts when emotives of surprise appear. To study the phenomenon, the concept of emotional situation is employed. It marks the circumstances under which the persona experiences the emotion of surprise. The results obtained from the analysis of modern English poems distinguish several emotional situations in which emotives of surprise appear. They occur at the junction of image-bearing spaces of 1) dream and reality; 2) reality and fantasy; 3) expectations and their fulfilment; 4) two contrasting situations in reality. These image-bearing spaces may have either contrasting or complementing features. The defeated expectancy effect that occurs due their interaction manifests itself verbally via the emotives of surprise.
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Thonhauser, Gerhard. "Towards a Taxonomy of Collective Emotions". Emotion Review 14, nr 1 (styczeń 2022): 31–42. http://dx.doi.org/10.1177/17540739211072469.

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This paper distinguishes collective emotions from other phenomena pertaining to the social and interactive nature of emotion and proposes a taxonomy of different types of collective emotion. First, it emphasizes the distinction between collective emotions as affective experiences and underpinning mechanisms. Second, it elaborates on other types of affective experience, namely the social sharing of emotion, group-based emotions, and joint emotions. Then, it proposes a working definition of collective emotion via a minimal threshold and four structural features. Finally, it develops a taxonomy of five types of collective emotion: emotional sharing, emotional contagion, emotional matching, emotional segregation, and emotional fusion.
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Bailes, Lauren G., Garrett Ennis, Sarah M. Lempres, David A. Cole i Kathryn L. Humphreys. "Parents’ emotion socialization behaviors in response to preschool-aged children’s justified and unjustified negative emotions". PLOS ONE 18, nr 4 (19.04.2023): e0283689. http://dx.doi.org/10.1371/journal.pone.0283689.

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Parental socialization of children’s negative emotions is believed to contribute to children’s emotional development, with supportive, process-oriented responses (e.g., explicit acknowledgment of emotional expression and emotion processing) providing opportunities for children to experience and develop adaptive emotion regulation strategies for negative emotions. On the other hand, non-supportive, outcome-oriented responses (e.g., minimizing or punishing children for negative emotional expressions) tend to undermine such opportunities. Less clear, however, is the degree to which parents’ own emotional and cognitive processes influence their emotion socialization behaviors. In particular, the perceived justifiability of children’s negative emotions may be an important factor for parents’ socialization behaviors as parents may only attend to emotional displays that they feel are reasonable. Using a sample of 234 mothers and fathers (parents of 146 unique preschool aged children), we examined the degree to which parents reported: (1) feeling specific emotions as a function of whether they viewed children’s negative emotional expressions; (2) engaging in emotion socialization behaviors as a function of whether they viewed children’s negative emotions. Last, we examined whether parents’ reported emotions were related to their behaviors. For caregivers’ emotions and behaviors, we examined whether patterns differed as a function of whether the children’s emotions were perceived as justified or unjustified. Parents were more likely to report feeling emotions such as anger and frustration when they viewed children’s negative emotions as unjustified relative to justified, and for these unjustified negative emotions, anger and frustration were related to more outcome-oriented behaviors. Emotions such as sadness and guilt, however, were related to more process-oriented behaviors, regardless of whether parents felt children’s negative emotions were justified or unjustified. Findings highlight the interrelatedness of emotional and cognitive processes within the parenting context and their potential influence on emotion socialization behaviors.
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Merlina, Tina, Lia Maulia i Rosaria Mita Amalia. "Verbal and Visual Expression of Emotions on Kaskus: a Semiotic Study". MIMBAR, Jurnal Sosial dan Pembangunan 29, nr 1 (20.06.2013): 85. http://dx.doi.org/10.29313/mimbar.v29i1.373.

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This research investigates the types of emoticons which occured on Kaskus. This is a qualitative research. The writer take the data from Kaskus, therefore it is a forum in the internet which has grown to be one of the most popular websites in Indonesia. To identify the types of Emotions on Kaskus, the writer analyzed the data using Ekman (2003) . From the discussions, there are verbal and non verbal sign in the emoticons that appear on Kaskus. The meaning of verbal sign and nonverbal sign in emoticon “marah” represents anger emotion. Emoticon “Ngakak” and “thumbup” represent enjoyable emotion. Emoticon “Sorry” and “Cool” represent sadness emotion. For future studies need to be conducted with an increased sample by using another media such as Whatsapp, YM, etc.
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Ojha, Amitash, Charles Forceville i Bipin Indurkhya. "An experimental study on the effect of emotion lines in comics". Semiotica 2021, nr 243 (7.10.2021): 305–24. http://dx.doi.org/10.1515/sem-2019-0079.

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Abstract Both mainstream and art comics often use various flourishes surrounding characters’ heads. These so-called “pictorial runes” (also called “emanata”) help convey the emotional states of the characters. In this paper, using (manipulated) panels from Western and Indian comic albums as well as neutral emoticons and basic shapes in different colors, we focus on the following two issues: (a) whether runes increase the awareness in comics readers about the emotional state of the character; and (b) whether a correspondence can be found between the types of runes (twirls, spirals, droplets, and spikes) and specific emotions. Our results show that runes help communicate emotion. Although no one-to-one correspondence was found between the tested runes and specific emotions, it was found that droplets and spikes indicate generic emotions, spirals indicate negative emotions, and twirls indicate confusion and dizziness.
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Rozprawy doktorskie na temat "Emotions"

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Boakes, Jolee Alison. "The role of specific emotions in affective priming effects". University of Western Australia. Graduate School of Education, 2010. http://theses.library.uwa.edu.au/adt-WU2010.0116.

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[Truncated abstract] The finding that less time is needed to evaluate the valence of a target when it is preceded by a prime of the same valence, as opposed to one of the opposite valence, has become known as the affective priming effect. The research reported here investigated a new model of the mechanisms underlying affective priming effects, which focuses on the role of specific emotions within global valence categories. Specifically, this model stipulates that when presented with a stimulus that elicits particular emotions, the area of the brain corresponding to that emotion is automatically stimulated. This in turn will produce a diffuse activation of meaning nodes that are associated with that emotion. This emotion-based priming model departs from previous spreading activation accounts of affective priming, as it suggests that the facilitation effects observed in such studies may be due primarily to spreading activation via emotion-congruent, rather than valence-congruent, nodes. The overarching goal of the empirical research programme reported here was to test predictions based on this model. In three studies, facilitation effects ascribable to specific emotion-based congruence (e.g., fear-fear) were compared with those ascribable to global valence-based congruence (e.g., negative-negative) alone (i.e., in the absence of emotion-based congruence). Participants made valence judgements on targets which represented one of five basic human emotions: one positive (happy) and four negative (disgust, fear, sad, and anger). ... The fundamental design elements were the same across all three studies: the only difference was in the stimulus format of the prime-target pairs: emotion-laden scenes were used in Study One; facial expressions in Study Two; and emotion-laden words in Study Three. Results showed that, in comparison to the neutral and incongruent baselines, there were significant emotion-based priming effects across all stimulus formats. This result was also consistent across all of the negative emotions employed. Significant valence-based priming effects were, however, also obtained in each of the three studies, although these effects were more inconsistent than those obtained for emotion-based priming. That is, reaction times were significantly shorter on valence-congruent than on neutral and incongruent baseline trials, but only for a portion of the tests performed across the three studies. In Studies One and Two, reaction times were consistently shorter for emotion-congruent prime-target pairs than for valence-congruent prime-target pairs. This trend was absent in Study Three, in which word stimuli were used. These results indicate that while reaction times were facilitated, albeit inconsistently, for valence-congruent prime-target pairs, they were facilitated significantly further for emotion-congruent pairs when picture-based stimuli were used. The emotion-based and valence-based priming effects obtained across the three studies are discussed in terms of three competing theories: (i) spreading activation via global valence nodes, (ii) spreading activation via emotion centres, and (iii) expectancy-based processes. A dual-process hypothesis of affective priming is then proposed. The plausibility of the hypothesis is then explored through a synthesis and re-examination of results reported in previous affective priming research. Directions for future research to elaborate and extend on this work are discussed.
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Araya, Jose Manuel. "Emotion and predictive processing : emotions as perceptions?" Thesis, University of Edinburgh, 2018. http://hdl.handle.net/1842/33156.

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In this Thesis, I systematize, clarify, and expand the current theory of emotion based on the principles of predictive processing-the interoceptive inference view of emotion-so as to show the following: (1) as it stands, this view is problematic. (2) Once expanded, the view in question can deal with its more pressing problems, and it compares favourably to competing accounts. Thus, the interoceptive inference view of emotion stands out as a plausible theory of emotion. According to the predictive processing (PP) framework, all what the brain does, in all its functions, is to minimize its precision-weighted prediction error (PE) (Clark, 2013, 2016; Hohwy, 2013). Roughly, PE consist in the difference between the sensory signals expected (and generated) from the top-down and the actual, incoming sensory signals. Now, in the PP framework, visual percepts are formed by minimizing visual PE in a specific manner: via visual perceptual inference. That is, the brain forms visual percepts in a top-down fashion by predicting its incoming lower-level sensory signals from higher-level models of the likely (hidden) causes of those visual signals. Such models can be seen as putting forward content-specifying hypotheses about the object or event responsible for triggering incoming sensory activity. A contentful percept is formed once a certain hypothesis achieves to successfully match, and thus supress, current lower-level sensory signals. In the interoceptive inference approach to interoception (Seth, 2013, 2015), the principles of PP have been extended to account for interoception, i.e., the perception of our homeostatic, physiological condition. Just as perception in the visual domain arises via visual perceptual inference, the interoceptive inference approach holds that perception of the inner, physiological milieu arises via interoceptive perceptual inference. Now, what might be called the interoceptive inference theory of valence (ITV) holds that the interoceptive inference approach can be used so as to account for subjective feeling states in general, i.e., mental states that feel good or bad-i.e., valenced mental states. According to ITV, affective valence arises by way of interoceptive perceptual inference. On the other hand, what might be called the interoceptive inference view of emotion (IIE) holds that the interoceptive inference approach can be used so as to account for emotions per se (e.g., fear, anger, joy). More precisely, IIE holds that, in direct analogy to the way in which visual percepts are formed, emotions arise from interoceptive predictions of the causes of current interoceptive afferents. In other words, emotions per se amount to interceptive percepts formed via higher-level, content-specifying emotion hypotheses. In this Thesis, I aim to systematize, clarify, and expand the interoceptive inference approach to interoception, in order to show that: (1) contrary to non-sensory theories of affective valence, valence is indeed constituted by interoceptive perceptions, and that interoceptive percepts do arise via interoceptive perceptual inference. Therefore, ITV holds. (2) Considering that IIE exhibits problematic assumptions, it should be amended. In this respect, I will argue that emotions do not arise via interoceptive perceptual inference (as IIE claims), since this assumes that there must be regularities pertaining to emotion in the physiological domain. I will suggest that emotions arise instead by minimizing interoceptive PE in another fashion. That is, emotions arise via external interoceptive active inference: by sampling and modifying the external environment in order to change an already formed interoceptive percept (which has been formed via interoceptive perceptual inference). That is, emotions are specific strategies for regulating affective valence. More precisely, I will defend the view that a certain emotion E amounts to a specific strategy for minimizing interoceptive PE by way of a specific set of stored knowledge of the counterfactual relations that obtain between (possible) actions and its prospective interoceptive, sensory consequences ("if I act in this manner, interoceptive signals should evolve in such-and-such way"). An emotion arises when such knowledge is applied in order to regulate valence.
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Friesen, Andrew P. ""Catching" emotions : emotion regulation in sport dyads". Thesis, University of Wolverhampton, 2013. http://hdl.handle.net/2436/621877.

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The purpose of the present research programme was to inform the development and subsequent delivery of an intervention to enhance interpersonal emotion regulation. Although emotion regulation has been emphasised due to its importance in explaining performance and well-being, the focus of research has predominantly been on intrapersonal emotion regulation. The present study addressed the dual-gap in research by extending research in interpersonal emotion regulation in general and developing and testing theory-led interventions for use in sport. A three-stage programme of research was set up with stage one reviewing the extant literature before proposing a social-functional approach to emotions, and in particular the Emotions As Social Information (EASI) model, as possible theoretical frameworks for use in sport. Qualitative methods were emphasised as these are particularly useful in studies seeking to identify mechanisms underlying the effectiveness of interventions. Stage two began with a narrative analysis to outline the potential social functions and consequences of emotional expressions, verbalisations, and actions in ice hockey. Two ice hockey players, each captain of their respective team, participated in semi-structured interviews. Participants described how emotions informed them of important circumstances in their environment that required attention and prepared them for such challenges at the individual level. At a dyadic level, emotions helped participants understand the emotional states and intentions of their teammates contributing toward an assessment of the extent to which they were prepared to face their challenges. At a group level, emotions helped participants lead their teammates in meeting team goals. Finally, at the cultural level, emotions helped participants maintain culture-related identities. Stage two continued with examining the processes, strategies used, and potential moderating factors in interpersonal emotion regulation among 16 ice hockey players from an English professional league. An inductive and deductive analysis revealed 22 distinct strategies used to regulate teammates' emotions. These were distinguished between strategies that were verbal or behavioural in nature. They were further distinguished between strategies employed to initiate interpersonal emotion regulation through affective and cognitive channels. Moderating factors in the interpersonal emotion regulation process were consistent with the EASI model. Stage three involved the development, delivery and assessment of the intervention. A British ice hockey team was recruited and the intervention was delivered over the course of three competitive seasons. The primary intervention goal was to improve interpersonal emotion regulation as evidenced by being able to accurately identify when an emotion regulation strategy was needed, and select and use a strategy that changed emotions in the direction and strength intended (Webb, Miles, & Sheeran, 2012). Given the link between emotion and performance, it was expected that the intervention would bring about improvements in individual and team performance. Techniques to bring about change comprised of brief contact interventions, dressing room debriefs, feedback from emotional intelligence assessments, and the practitioner managing himself as an intervention tool. The merit of the intervention was judged through practitioner reflections, social validity assessments, pre- and post-intervention measures of emotional intelligence and performance. Collectively, the present research programme contributes to the emotion regulation literature not only in sport, but also in psychology in general. A key achievement of the programme has been the development of a theoretically sound but ecologically valid intervention designed to improve the interpersonal emotion regulation skills of athletes. Although the intervention primarily catered to the needs of the current team and utilised the professional philosophy of the researcher-practitioner, the intervention provides support for enhanced performance derived from theory explaining a social-functional account of emotions. Future research might use the theory and approach to testing the theory in different sports to examine the role of each sport sub-culture on interpersonal emotion regulation.
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McWeeny, Jennifer. "Knowing emotions : emotional intentionality and epistemological sense /". view abstract or download file of text, 2005. http://wwwlib.umi.com/cr/uoregon/fullcit?p3201692.

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Thesis (Ph. D.)--University of Oregon, 2005.
Typescript. Includes vita and abstract. Includes bibliographical references (leaves 256-273). Also available for download via the World Wide Web; free to University of Oregon users.
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Dwyer, Erin. "Mastering Emotions: The Emotional Politics of Slavery". Thesis, Harvard University, 2012. http://dissertations.umi.com/gsas.harvard:10408.

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Mastering Emotions: The Emotional Politics of Slavery explores how the emotions and affective norms of the Antebellum South were conditioned upon and constructed through the institution of slavery. Though slavery is a subject wrought with emotion, there has been no focus in recent historical scholarship on the affective dimensions of slavery. Studies in the history of emotion have also largely ignored slavery. My intervention in these fields reveals the ways that both slaveholders and slaves wielded fear, trust, jealousy, and affection in their interactions with one another. The project also sheds light on how the emotional norms of societies are learned and policed, manipulated and enforced. I argue that the emotions of slaveholders and slaves alike were irrevocably shaped by slavery. The daily negotiations and contestations that occurred between slaveholders and slaves through and about feelings, in conjunction with larger debates about race, freedom, and emotional norms, form the backbone of what I call the emotional politics of slavery. Mastering Emotions examines how the affective norms of slavery were taught, how emotional transgressions were punished, and the long-term impacts of those emotional norms on the affective landscape of the post-Reconstruction South. To gain insight into the emotional lives and affective experiences of enslaved people of color I use a variety of primary sources such as slave narratives, letters, and court testimony. Steeped in the mode of sentimentalism, which encouraged people to reflect upon and articulate their feelings, slaveholders revealed how they felt about their slaves, and how they believed their slaves felt, in diaries, wills, and even records of slave sales and manumissions. Studying the affective terrain of the Antebellum South provides fresh insight into the politics of slavery, revealing how those in bondage used feelings to resist slavery, and how the planter class employed emotions to enforce the institution. This project also contributes to the burgeoning field of affective history by complicating understandings of how emotions are constructed in relation to power, and how power operates in affective relations.
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Stanciu, Marian Andrei. "Emotional memory for basic emotions in amnesia". Thesis, Bangor University, 2014. https://research.bangor.ac.uk/portal/en/theses/emotional-memory-for-basic-emotions-in-amnesia(6a5048d6-86f4-41bb-be90-73fcac5a99a2).html.

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Emotions are ubiquitous in everyday life, and can often be re-experienced accurately after long periods. Emotions also have a strong mutual influence on other memory systems (most notably episodic memory), but rely on different neuroanatomical structures, and can function independently – often reported in amnesic patients. However, unlike episodic memory, many fundamental questions about the structure of emotions remain unresolved. The two most influential accounts of the organisation of affect (the dimensional and categorical theories) are surprisingly divergent, an issue not addressed by the fact that emotion memory studies tend to be based on two rather than many emotion categories. Moreover, the field lacks sophisticated empirical tools for analysing discrete emotions, and calculating their specificity. Using a novel set of controlled emotional stories, the present thesis investigated the re-experience of four discrete classes of emotion (anger, fear, sadness, and happiness) in three samples: neurologically-normal participants (N=32), Korsakoff’s syndrome patients (N=20), and age-matched controls (N=20). The results suggest that: (1) The most durable form of emotional memory encodes affective valence. Discrete emotions can be reliably re-experienced, but require stronger forms of emotion elicitation than valence. (2) Remarkably, severely amnesic Korsakoff’s syndrome patients show a preserved ability to re-experience discrete emotions, at similar levels of intensity to neurologically-normal age-matched controls. Furthermore, the intensity of discrete emotions, in patients and controls, appears to be related to core executive functions; (3) Using a novel methodological approach, it is clear that the brief experience of certain discrete emotions (e.g., happiness) also increases the specificity of other emotions (e.g., anger and fear). Thus, the present thesis provides a unique attempt to reconcile the dimensional and categorical theories of emotions, and allows the investigation of specific basic emotions, while accounting for the experience of other basic emotions.
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Stanley, Jennifer Tehan. "Emotion recognition in context". Diss., Atlanta, Ga. : Georgia Institute of Technology, 2008. http://hdl.handle.net/1853/24617.

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Thesis (Ph.D.)--Psychology, Georgia Institute of Technology, 2008.
Committee Chair: Blanchard-Fields, Fredda; Committee Member: Corballis, Paul; Committee Member: Hertzog, Christopher; Committee Member: Isaacowitz, Derek; Committee Member: Kanfer, Ruth
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Laukka, Petri. "Vocal Expression of Emotion : Discrete-emotions and Dimensional Accounts". Doctoral thesis, Uppsala : Acta Universitatis Upsaliensis, Uppsala universitet, 2004. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-4666.

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Doak, Jennifer Nicole. "The effect of character education on emotional intelligence". [Huntington, WV : Marshall University Libraries], 2009. http://www.marshall.edu/etd/descript.asp?ref=964.

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Stapleton, Clare Marie. "The Use of Emotions in Social Work Practice". Thesis, The University of Sydney, 2016. http://hdl.handle.net/2123/15807.

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This thesis explores the explicit and implicit use of emotions in social work practice and the ways in which social workers’ emotions interact with formal theory and practice to create knowledge for practice. It describes the practices of 10 expert social workers with extensive experience in working in relationship-oriented models. The social workers live and work in three Australian cities. The descriptions of their practices are drawn from indepth interviews with the social workers. Interpretative phenomenological analysis was used to guide the research inquiry. Findings from the study were interpreted using the social work practice theory of relationship-based social work and the sociological theories of the emotional self and emotional labour. The findings are presented in three chapters exploring four major themes: • Descriptions of social work practice, including participants’ understandings of the theoretical and practice frames that inform their work, and the credentialing of their expertise in social work practice. • Participants’ expressed views on the place of emotions in accountable and ethical social work practice, plus their descriptions of the ways they work with emotions in practice. • Participants’ understandings of their emotional self and its influence on the ways in which they implement their practice. • Participants’ descriptions of the characteristics of their emotional labour, including the ways their emotions and emotional self interact with theory and ethics to create the labour of social work practice. The study revisits a central concern in the social work literature — the place of emotions and tacit forms of knowledge in expert practice. It concludes, from a practitioner perspective, that emotions and emotive knowledge hold a central position in practice. The findings have implications for understanding what constitutes useful and necessary knowledge for practice, as well as suggesting new perspectives on the training and supervision of social workers on emotion and its use in practice. The findings suggest that an ability to work competently and intelligently with emotions, including making use of the knowledge gleaned from one’s own emotions in explicit and conscious ways, is part of expert social work practice.
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Książki na temat "Emotions"

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Goozen, Stephanie H. M. van, Poll, Nanne E. van de i Sergeant Joseph A, red. Emotions: Essays on emotion theory. Hillsdale, N.J: L. Erlbaum, 1994.

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Chandwani, Rajesh. Managing emotions: Emotional labor or emotional enrichment. Ahmedabad: Indian Institute of Management, 2015.

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Mendes, Steve Dean. Emotions in between emotions. Duffel]: Stockmans Art Books, 2021.

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Oatley, Keith, red. Emotions. Oxford, UK: Blackwell Publishing Ltd, 2004. http://dx.doi.org/10.1002/9780470776322.

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Books, Time-Life, red. Emotions. Alexandria, Va: Time-Life Books, 1994.

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Chaudhri, Shonan. Emotions. Charkop Village, Kandivali (W): Sanjay/Vishal, 1991.

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Jomain, Monique. Emotions. Paris: La Pensee Universelle, 1986.

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Dignard, Margaret. Emotions. Newcastle, Ont: Lakeside Creations Pub., 2000.

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McCann, Timmothy B. Emotions. New York: Kensington Books, 2002.

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Lorrimer, Claire. Emotions. Bath: Chivers, 2009.

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Części książek na temat "Emotions"

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Frijda, Nico H., Suprapti Markam, Kaori Sato i Reinout Wiers. "Emotions and Emotion Words". W Everyday Conceptions of Emotion, 121–43. Dordrecht: Springer Netherlands, 1995. http://dx.doi.org/10.1007/978-94-015-8484-5_7.

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Porter, Louise. "Emotions and emotion regulation". W Counselling Young People, 129–48. London: Routledge, 2023. http://dx.doi.org/10.4324/9781003323938-12.

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von Tetzchner, Stephen. "Emotions and Emotion Regulation". W Child and Adolescent Psychology, 339–67. 1 Edition. | New York : Routledge, 2019.: Routledge, 2018. http://dx.doi.org/10.4324/9781315742113-17.

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Frenzel, Anne C., Thomas Goetz i Kristina Stockinger. "Emotions and Emotion Regulation". W Handbook of Educational Psychology, 219–44. Wyd. 4. New York: Routledge, 2023. http://dx.doi.org/10.4324/9780429433726-13.

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Wadkar, Alka. "Emotions and Emotional Intelligence". W Life Skills for Wellbeing and Success, 133–52. London: Routledge India, 2023. http://dx.doi.org/10.4324/9781003430704-12.

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Longo, Mariano. "Action, emotions and emotional control". W Emotions through Literature, 87–113. First edition. | Oxon, New York: Routledge, 2019. |: Routledge, 2019. http://dx.doi.org/10.4324/9781315211114-5.

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Ann Wilkinson, Rebecca, i Gioia Chilton. "Positive Emotions and Emotion Regulation". W Positive Art Therapy Theory and Practice, 64–81. First edition. | New York : Routledge, 2018.: Routledge, 2017. http://dx.doi.org/10.4324/9781315694245-6.

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Candiotto, Laura. "Emotions". W Encyclopedia of Educational Philosophy and Theory, 1–5. Singapore: Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-287-532-7_311-1.

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Candiotto, Laura. "Emotions". W Encyclopedia of Educational Philosophy and Theory, 714–17. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-287-588-4_311.

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Derntl, Birgit, Frank Schneider i Ute Habel. "Emotions". W MRI in Psychiatry, 191–215. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-54542-9_10.

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Streszczenia konferencji na temat "Emotions"

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Esau, Natascha, Lisa Kleinjohann i Bernd Kleinjohann. "Emotional Competence in Human-Robot Communication". W ASME 2008 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2008. http://dx.doi.org/10.1115/detc2008-49409.

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Since emotional competence is an important factor in human communication, it will certainly also improve communication between humans and robots or other machines. Emotional competence is defined by the aspects emotion recognition, emotion representation, emotion regulation and emotional behavior. In this paper we present how these aspects are intergrated into the architecture of the robot head MEXI. MEXI is able to recognize emotions from facial expressions and prosody of natural speech and represents its internal state made up of emotions and drives by according facial expressions, head movements and speech utterances. For its emotions and drives internal and external regulation mechanisms are realized. Furthermore, this internal state and its perceptions, including the emotions recognized at its human counterpart, are used by MEXI to control its actions. Thereby MEXI can react adequately in an emotional communication.
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Schmid, Ramona, Sophia Maria Saat, Knut Möller i Verena Wagner-Hartl. "Induction method influence on emotion recognition based on psychophysiological parameters". W Intelligent Human Systems Integration (IHSI 2023) Integrating People and Intelligent Systems. AHFE International, 2023. http://dx.doi.org/10.54941/ahfe1002851.

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Recognizing emotions is an essential ability in our daily social interactions. However, there are individuals who have difficulties interpreting emotions, such as patients with autism spectrum disorders (ASD). In order to cope better with everyday life, emotion training can be a supporting factor for them. However, studies show that emotion training is not only helpful for patients with ASD, but also in the working environment, for example in trainings for managers or teams. In recent research, there are already approaches to use new technologies such as virtual reality to train emotional and social skills. For the evaluation of these new concepts, it is important to make the emotional state of a person measurable. Therefore, a measurement environment has already been developed at Furtwangen University. This is based on a multidimensional approach combining subjective and objective psychophysiological measures. Moreover, the development of facial emotion recognition (FER) systems based on machine learning techniques are also increasing for measuring a person's emotional state. Often, they focus on the recognition of Ekman’s basic emotions. To train and evaluate such FER systems, these basic emotions have to be induced in an individual. Therefore, a number of methods for emotion induction can be found in research, e.g. visual stimuli or mental methods. However, in most studies, only a few selected emotions, such as anger and happiness, were induced. Thus, there is a lack of studies that examined the induction of all six basic emotions.For that reason, the aim of the presented experimental study was to investigate two different methods of emotion induction for the six basic emotions anger, disgust, fear, happiness, sadness, surprise, and a neutral category. Overall, 14 women and 10 men (N = 24) aged between 19 and 59 years (M = 29.25, SD = 11.46) participated in the study. For the first induction method, affective visual stimuli from common emotional picture databases (EmoPicS, OASIS and IAPS) were used. For the second induction method, emotions were induced by a so-called autobiographical recall. Therefore, the participants had to imagine autobiographical situations that evoked the required emotion in them in the past. After each different induction of one of the six emotions or the neutral category, the participants’ emotional state was assessed using the two dimensions valence and arousal of the Self-Assessment Manikin (SAM). Furthermore, cardiovascular (ECG) and electrodermal (EDA) activity were recorded. The results show a significant interaction induction method x emotional category for both subjective assessments valence and arousal. Furthermore, based on the results of the psychophysiological responses of the participants (ECG and EDA), it is shown that the second method to induce emotions (autobiographical recall) was significantly more arousing than the first induction method using visual stimuli. To sum it up, the results of the experimental study show an influence of the induction method that is evident in both the subjective and the psychophysiological parameters.
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Yang, Jufeng, Dongyu She i Ming Sun. "Joint Image Emotion Classification and Distribution Learning via Deep Convolutional Neural Network". W Twenty-Sixth International Joint Conference on Artificial Intelligence. California: International Joint Conferences on Artificial Intelligence Organization, 2017. http://dx.doi.org/10.24963/ijcai.2017/456.

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Visual sentiment analysis is attracting more and more attention with the increasing tendency to express emotions through visual contents. Recent algorithms in convolutional neural networks (CNNs) considerably advance the emotion classification, which aims to distinguish differences among emotional categories and assigns a single dominant label to each image. However, the task is inherently ambiguous since an image usually evokes multiple emotions and its annotation varies from person to person. In this work, we address the problem via label distribution learning (LDL) and develop a multi-task deep framework by jointly optimizing both classification and distribution prediction. While the proposed method prefers to the distribution dataset with annotations of different voters, the majority voting scheme is widely adopted as the ground truth in this area, and few dataset has provided multiple affective labels. Hence, we further exploit two weak forms of prior knowledge, which are expressed as similarity information between labels, to generate emotional distribution for each category. The experiments conducted on both distribution datasets, i.e., Emotion6, Flickr_LDL, Twitter_LDL, and the largest single emotion dataset, i.e., Flickr and Instagram, demonstrate the proposed method outperforms the state-of-the-art approaches.
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Tivatansakula, Somchanok, Gantaphon Chalumpornb i Supadchaya Puangpontipb. "Healthcare System Focusing on Emotional Aspect Using Augmented Reality: Emotion Detection by Facial Expression". W Applied Human Factors and Ergonomics Conference. AHFE International, 2021. http://dx.doi.org/10.54941/ahfe100521.

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Current research includes many proposals of systems that provide assistances and services to people in the healthcare fields; however, these systems emphasize the support physical rather than emotional aspects. Emotional health is as important as physical health. Negative emotional health can lead to social or mental health problems. To cope with negative emotional health in daily life, we propose a healthcare system that focuses on emotional aspects. This system provides services to improve user emotion. To improve user emotion, we need to recognize users’ current emotional state. Therefore, our system integrates emotion detection to suggest the appropriate service. This system is designed as a web-based system. While users use the system, facial expression and speech are detected and analyzed and to determine the users’ emotions. When negative emotions are detected, our system suggests that the users take a break by providing services (designed to provide relaxation, amusement and excitement services) with augmented reality and Kinect to improve their emotional state. This paper focuses on feature extraction and classification of emotion detection by facial expression recognition.
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Leila, Dr Hamdada, i Dr Benkouider Amina. "THE IMPORTANCE OF THE EMOTIONAL DIMENSION IN PRODUCTS DESIGN". W III. The International Research Scientific Congress of Humanities and Social Sciences. Rimar Academy, 2023. http://dx.doi.org/10.47832/ist.con3-1.

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The current study aims to highlight the importance of the emotional and affective aspects in products design, as design based on emotions is a relatively recent trend in the field of product design, and it stems from the idea that the contemporary consumer no longer cares only about the product and its content or function, but rather what it raises Products of positive emotions motivate him and improve his quality of life (of course along with the functional requirements of the product). The emotional dimension of the product would be an important factor in the success of marketing the product more than the functional aspect because it affects the consumer's decision to buy the product. Accordingly, emotional content-oriented design has gained great importance in design practices and design research, and this is what this scientific paper sought to highlight by discussing a group of theoretical and empirical literature, starting with highlighting the concept of both emotion and emotional design, then emotional design theories in addition to the classification and characteristics The emotions of the product, as well as the criteria for selecting the product, and finally the methods of incorporating the emotion into the product
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Sinha, Arryan, i G. Suseela. "Deep Learning-Based Speech Emotion Recognition". W International Research Conference on IOT, Cloud and Data Science. Switzerland: Trans Tech Publications Ltd, 2023. http://dx.doi.org/10.4028/p-0892re.

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Speech Emotion Recognition, as described in this study, uses Neural Networks to classify the emotions expressed in each speech (SER). It’s centered upon concept where voice tone and pitch frequently reflect underlying emotion. Speech Emotion Recognition aids in the classification of elicited emotions. The MLP-Classifier is a tool for classifying emotions in a circumstance. As wave signal, allowing for flexible learning rate selection. RAVDESS (Ryerson Audio-Visual Dataset Emotional Speech and Song Database data) will be used. To extract the characteristics from particular audio input, Contrast, MFCC, Mel Spectrograph Frequency, & Chroma are some of factors that may be employed. To facilitate extraction of features from audio script, dataset will be labelled using decimal encoding. Utilizing input audio sample, precision was found to be 80.28%. Additional testing confirmed this result.
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Hou, Tianyu, Nicoletta Adamo i Nicholas J. Villani. "Micro-expressions in Animated Agents". W Intelligent Human Systems Integration (IHSI 2022) Integrating People and Intelligent Systems. AHFE International, 2022. http://dx.doi.org/10.54941/ahfe1001081.

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The purpose of this research was to examine the perception of micro-expressions in animated agents with different visual styles. Specifically, the work reported in the paper sought to examine: (1) whether people can recognize micro-expressions in animated agents, (2) the extent to which the degree of exaggeration of micro-expressions affects recognition, perceived naturalness and intensity of the animated agents’ emotions, and (3) whether there are differences in recognition and perception based on the agent’s visual style (realistic vs stylized). The research work involved two experiments: a recognition study and an emotion rating study; 275 participants participated in each experiment. In the recognition study, the participants watched eight micro-expression animations representing four different emotions. Four animations featured a stylized character and four a realistic character. For each animation, subjects were asked to identify the character’s emotion conveyed by the mi-cro-expression. Results showed that all four emotions for both characters were recognized with an acceptable degree of accuracy. In the emotion rating study, participants watched two sets of eight animation clips. Eight animations in each set featured the characters performing both macro- and micro-expressions, the difference between these two sets was the exaggeration degree of micro-expressions (normal vs exaggerated). Participants were asked to recognize the character’s true emotion (conveyed by the micro-expressions) and rate the naturalness and intensity of the character’s emotion in each clip using a 5-point Likert scale. Findings showed that the degree of exaggeration of the micro-expressions had a significant effect on emotion’s naturalness rating, emotion’s intensity rating, and true emotion recognition, and the character visual style had a significant effect on emotion’s intensity rating.
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Huang, Zhaopei, Jinming Zhao i Qin Jin. "ECR-Chain: Advancing Generative Language Models to Better Emotion-Cause Reasoners through Reasoning Chains". W Thirty-Third International Joint Conference on Artificial Intelligence {IJCAI-24}. California: International Joint Conferences on Artificial Intelligence Organization, 2024. http://dx.doi.org/10.24963/ijcai.2024/695.

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Understanding the process of emotion generation is crucial for analyzing the causes behind emotions. Causal Emotion Entailment (CEE), an emotion-understanding task, aims to identify the causal utterances in a conversation that stimulate the emotions expressed in a target utterance. However, current works in CEE mainly focus on modeling semantic and emotional interactions in conversations, neglecting the exploration of the emotion-generation process. This hinders the models from deeply understanding emotions, restricting their ability to produce explainable predictions. In this work, inspired by the emotion generation process of "stimulus-appraisal-emotion" in the cognitive appraisal theory, we introduce a step-by-step reasoning method, Emotion-Cause Reasoning Chain (ECR-Chain), to infer the stimulus from the target emotional expressions in conversations. Specifically, we first introduce the ECR-Chain to ChatGPT via few-shot prompting, which significantly improves its performance on the CEE task. We further propose an automated construction process to utilize ChatGPT in building an ECR-Chain set, which can enhance the reasoning abilities of smaller models through supervised training and assist the Vicuna-7B model in achieving state-of-the-art CEE performance. Moreover, our methods can enable these generative language models to effectively perform emotion-cause reasoning in an explainable manner. Our code, data and more details are at https://github.com/hzp3517/ECR-Chain.
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Vakulenko, Svitlana. "The role of the emotional component in the professional activity of social work specialists during the war". W Sociology – Social Work and Social Welfare: Regulation of Social Problems. Видавець ФОП Марченко Т.В., 2023. http://dx.doi.org/10.23939/sosrsw2023.159.

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Background: The majority of emotional experiences arise in response to the satisfaction or dissatisfaction of personal needs. Hence, one cannot ignore the person’s emotional experiences in the study of his/her social behavior. Models for explaining social actions and social processes that ignore the actors’ emotions cannot be considered relevant. Purpose: To investigate, on the basis of concepts of «emotion work» and «emotional labor» by A.R. Hochschild the role of the emotional component in the professional activity of social work specialists during the war. since social work is based on deep action (according to A.R. Hochschild’s classification) and the presence of certain personal qualities, which is manifested in some features inherent in this profession. Methods: The theoretical method of research was to analyze the documents used to study the works of scientists who researched the social nature of emotions: on the one hand, they are the results of social processes that require sociological explanation; on the other, they function as causes of the social processes, necessary to explain the very principles of social behavior. Conclusion: In the social workers professional activities, emotions are important. Due to the activities specifics, professionals are often required to imitate certain emotions (perform emotion work). At the same time, social work involves the implementation of including emotional labor, which is based on deep action (according to the classification of A.R. Hochschild) and the presence of certain personal qualities associated with the profession characteristics. Keywords: social work, social work specialists, professional activity, emotional labour, emotional work.
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Strode, Aina, i Līga Munda. "Illustrations of Expressions of Emotions in Children’s Books". W 81th International Scientific Conference of the University of Latvia. University of Latvia Press, 2023. http://dx.doi.org/10.22364/htqe.2023.47.

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Visual culture is an integral part of modern life. Books with the engaging visual design still attract children’s attention and are at the center of examples of their experiences and interactions. In children’s books, the image is the central part of perception and the accompanying text plays a secondary role. Visual perception influences and shapes children’s views about what the world around them is like. The book’s illustrations are often the primary criteria when choosing a book for a child, which also creates interest in the written content. By analyzing different illustrations, it is possible to distinguish several main features that are characteristic of depicting a certain emotion and how the characters feel. When looking at any illustration, the character’s facial expression is one of the primary objects looked at to determine how the character is feeling. Appropriate body posture creates the effect of movement alone or helps create the mood of an illustration by complementing the emotional background provided by facial expressions. A true representation of emotions in an illustration not only creates an enjoyable overall image but also clearly shows children how each emotion manifests itself and helps them understand themselves and in the people around them. The aim of the research is to investigate the role of children’s books in their psycho-emotional development and the techniques of depicting emotions in book illustrations. Research methods: theorethical – research of literature and Internet resources; case study. Research results – the importance of children’s book illustrations in children’s psycho-emotional development is substantiated, and the types of representation of various emotional expressions are determined. The case study confirms that not in all cases artists have paid attention to facial mimicry, which is the most active part of a person for the expression of emotions.
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Raporty organizacyjne na temat "Emotions"

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Shadel, Doug, Alicia Williams, Karla Pak i Lona Choi-Allum. Emotion: Scammers Use Our Emotions Against Us - Infographic. Washington, DC: AARP Research, październik 2021. http://dx.doi.org/10.26419/res.00484.002.

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Hartholt, Arno, i Tijmen J. Muller. Interaction on Emotions. Fort Belvoir, VA: Defense Technical Information Center, styczeń 2004. http://dx.doi.org/10.21236/ada459838.

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Balali, Vahid, Arash Tavakoli i Arsalan Heydarian. A Multimodal Approach for Monitoring Driving Behavior and Emotions. Mineta Transportation Institute, lipiec 2020. http://dx.doi.org/10.31979/mti.2020.1928.

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Studies have indicated that emotions can significantly be influenced by environmental factors; these factors can also significantly influence drivers’ emotional state and, accordingly, their driving behavior. Furthermore, as the demand for autonomous vehicles is expected to significantly increase within the next decade, a proper understanding of drivers’/passengers’ emotions, behavior, and preferences will be needed in order to create an acceptable level of trust with humans. This paper proposes a novel semi-automated approach for understanding the effect of environmental factors on drivers’ emotions and behavioral changes through a naturalistic driving study. This setup includes a frontal road and facial camera, a smart watch for tracking physiological measurements, and a Controller Area Network (CAN) serial data logger. The results suggest that the driver’s affect is highly influenced by the type of road and the weather conditions, which have the potential to change driving behaviors. For instance, when the research defines emotional metrics as valence and engagement, results reveal there exist significant differences between human emotion in different weather conditions and road types. Participants’ engagement was higher in rainy and clear weather compared to cloudy weather. More-over, engagement was higher on city streets and highways compared to one-lane roads and two-lane highways.
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Shadel, Doug, Alicia Williams, Karla Pak i Lona Choi-Allum. Emotion: Scammers Use Our Emotions Against Us – Infographic. Spotlight on Black Americans. Washington, DC: AARP Research, październik 2021. http://dx.doi.org/10.26419/res.00484.006.

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Shadel, Doug, Alicia Williams, Karla Pak i Lona Choi-Allum. Emotion: Scammers Use Our Emotions Against Us – Infographic. Spotlight on Hispanic Americans. Washington, DC: AARP Research, październik 2021. http://dx.doi.org/10.26419/res.00484.010.

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Gratch, Jonathan, i Stacy Marsella. Tears and Fears: Modeling Emotions and Emotional Behaviors in Synthetic Agents. Fort Belvoir, VA: Defense Technical Information Center, styczeń 2001. http://dx.doi.org/10.21236/ada459328.

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Reddy-Best, Kelly. The Emotions of Rape. Ames: Iowa State University, Digital Repository, luty 2013. http://dx.doi.org/10.31274/itaa_proceedings-180814-596.

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Arkin, Ronald C. Moral Emotions for Robots. Fort Belvoir, VA: Defense Technical Information Center, styczeń 2011. http://dx.doi.org/10.21236/ada544931.

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Maia, Maercio, Abrahão Baptista, Patricia Vanzella, Pedro Montoya i Henrique Lima. Neural correlates of the perception of emotions elicited by dance movements. A scope review. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, luty 2023. http://dx.doi.org/10.37766/inplasy2023.2.0086.

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Review question / Objective: The main question of the study is "how do dance neuroscience studies define and assess emotions?" The main objective is to establish, through the available literature, a scientific overview of studies in dance neuroscience that address the perception of emotions in the context of neuroaesthetics. Specifically, it is expected to verify if there is methodological homogeneity in studies involving the evaluation of emotions within the context of dance neuroscience; whether the definition of emotion is shared in these studies and, furthermore, whether in multimodal studies in which dance and music are concomitantly present, whether there is any form of distinction between the contribution of each language on the perception of emotions evoked by the stimulus.
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Marshak, Ronni. Assigning Emotions to Moments of Truth. Boston, MA: Patricia Seybold Group, listopad 2012. http://dx.doi.org/10.1571/me11-15-12cc.

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