Academic literature on the topic 'The intelligence of emotions'

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Journal articles on the topic "The intelligence of emotions"

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Berlibayeva, M. "Basic techniques and methods of developing emotional intelligence in preschool children." Pedagogy and Psychology 46, no. 1 (2021): 176–85. http://dx.doi.org/10.51889/2021-1.2077-6861.24.

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This article is devoted to the disclosure of the basic techniques and techniques for the development of emotional intelligence in preschool children. The work substantiates the need for the development of emotional intelligence in preschool children, its importance for the successful socialization of the child's personality. The author notes that the emotional intelligence of preschool children is a type of intelligence responsible for the child's recognition of his own emotions and the emotions of the people around him, as well as for controlling, managing his emotions and for influencing the
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Erygina, A. V. "EMOTIONAL INTELLIGENCE AS A SUCCESS FACTOR." ECONOMIC VECTOR 2, no. 25 (2021): 77–82. http://dx.doi.org/10.36807/2411-7269-2021-2-25-77-82.

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The paper addresses the development of emotional intelligence and its impact on the employees' success. It links soft skills with emotional intelligence and contains the review of the theory of basic emotions proposed by Robert Plutchik, methods of its use and its relevance in HR management for managers and workforce. The paper describes the properties of emotions and emotional reasoning, role and importance of the employees' emotional competence, as well as ways to trigger necessary emotions in the audience. It analyses the development of emotional intelligence studies of foreign and national
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MacCann, Carolyn, Yasemin Erbas, Egon Dejonckheere, Amirali Minbashian, Peter Kuppens, and Kirill Fayn. "Emotional Intelligence Relates to Emotions, Emotion Dynamics, and Emotion Complexity." European Journal of Psychological Assessment 36, no. 3 (2020): 460–70. http://dx.doi.org/10.1027/1015-5759/a000588.

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Abstract. Emotional intelligence (EI) should relate to people’s emotional experiences. We meta-analytically summarize associations of felt affect with ability EI branches (perception, facilitation, understanding, and management) and total scores ( k = 7–14; N = 1,584–2,813). We then use experience sampling ( N = 122 undergraduates over 5 days, 24 beeps) to test whether EI predicts emotion dynamics and complexity. Meta-analyses show that EI correlates significantly with lower negative affect (NA; ρ = −.21) but not higher positive affect (PA; ρ = .05). PA (but not NA) shows a significantly stron
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Izard, Carroll E. "Emotional intelligence or adaptive emotions?" Emotion 1, no. 3 (2001): 249–57. http://dx.doi.org/10.1037/1528-3542.1.3.249.

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Grishina, A. V., O. M. Isaeva, and S. Yu Savinova. "EMOTIONAL INTELLIGENCE OF HR-MANAGEMENT STUDENTS." Vestnik of Minin University 6, no. 2 (2018): 16. http://dx.doi.org/10.26795/2307-1281-2018-6-2-16.

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Introduction:Emotional intelligence is one of the key abilities of the modern managers and HR managers. Efficiency of the employees and the employer's brand depend on the level of HR‘s emotional intelligence. In this study we tried to assess the level of emotional intelligence among students studying Human Resources Management at HSE in Nizhny Novgorod. The study involved 78 students: 56 people (71.79% of the total sample) were undergraduate students and 22 people (28.21% of the total sample) were master level students.Materials and methods:To measure the level of emotional intelligence we use
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Uphill, M. A., and H. Mills. "Emotional intelligence: associations with emotions, emotion regulation and rowing performance." British Journal of Sports Medicine 45, no. 15 (2011): A11. http://dx.doi.org/10.1136/bjsports-2011-090606.36.

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Reeves, Amy. "Emotional Intelligence: Recognizing and Regulating Emotions." AAOHN Journal 53, no. 4 (2005): 172–76. http://dx.doi.org/10.1177/216507990505300407.

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Resnicow, Joel E., Peter Salovey, and Bruno H. Repp. "Is Recognition of Emotion in Music Performance an Aspect of Emotional Intelligence?" Music Perception 22, no. 1 (2004): 145–58. http://dx.doi.org/10.1525/mp.2004.22.1.145.

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Expression of emotion in music performance is a form of nonverbal communication to which people may be differentially receptive. The recently developed Mayer-Salovey-Caruso Emotional Intelligence Test assesses individual differences in the ability to identify, understand, reason with, and manage emotions using hypothetical scenarios that are conveyed pictorially or in writing. The test currently does not include musical or spoken items. We asked 24 undergraduates to complete both that test and a listening test in which they tried to identify the intended emotions in performances of classical p
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Olderbak, Sally, Martin Semmler, and Philipp Doebler. "Four-Branch Model of Ability Emotional Intelligence With Fluid and Crystallized Intelligence: A Meta-Analysis of Relations." Emotion Review 11, no. 2 (2018): 166–83. http://dx.doi.org/10.1177/1754073918776776.

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We meta-analytically investigated relations between the four-branch model of ability emotional intelligence (EI) with fluid (Gf) and crystallized intelligence (Gc; 352 effect sizes; ntotal = 15,333). We found that for each branch, the strength of relations with Gf and Gc were equivalent. Understanding emotions has the strongest relation with Gf/Gc combined (ρ = .43, k = 81, n = 11,524), relative to facilitating thought using emotion (ρ = .19, k = 51, n = 7,254), managing emotions (ρ = .20, k = 74, n = 11,359), and perceiving emotion (ρ = .20, k = 79, n = 9,636); for the latter, relations were
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Lekavičienė, Rosita, and Dalia Antinienė. "CORRELATION BETWEEN EMOTIONAL INTELLIGENCE OF YOUNG PEOPLE AND THEIR ACADEMIC ACHIEVEMENT: EMPIRICAL PROOF." Baltic Journal of Sport and Health Sciences 2, no. 97 (2015): 9–14. http://dx.doi.org/10.33607/bjshs.v2i97.82.

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Background. A scientific problem concerning factors which are important for academic achievement of students is analysed in the paper. Questions whether emotional intelligence level is related to academic achievement and whether correlation between academic achievement in a specific area (science, languages) and EI expression exists, whether emotional intelligence of young people with low education differs from that of young people with higher education, etc. are raised. Methods. Research participants were 1430 students aged between 17 and 27 years. The survey was performed using EI-DARL V2 te
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Dissertations / Theses on the topic "The intelligence of emotions"

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Kehoe, Christiane Evelyne. "Parents' meta-emotion philosophy, emotional intelligence and relationship to adolescent emotional intelligence." Swinburne Research Bank, 2006. http://hdl.handle.net/1959.3/4486.

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Thesis (BA(Hons) (Psychology)) - Faculty of Life and Social Sciences, Swinburne University of Technology, 2006.<br>"July 2006". A thesis is submitted in fulfilment of the requirements for the degree Bachelor of Social Science with Honours in Psychology, [Faculty of Life and Social Sciences], Swinburne University of Technology - 2006. Typescript.
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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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Angelica, Lim. "MEI: Multimodal Emotional Intelligence." 京都大学 (Kyoto University), 2014. http://hdl.handle.net/2433/188869.

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Svensson, Helen. "Attachment dimensions as a predictor of emotional intelligence and sociability." Thesis, Stockholms universitet, Psykologiska institutionen, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-62733.

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One of the ways in which the attachment relationships we develop during infancy influence us throughout life is by emotion regulation. Although studies have shown that attachment orientations affect emotional functioning, the effect of attachment dimensions on overall emotional functioning and sociability has still not been investigated. The purpose of the present study was to examine if attachment dimensions predict emotional intelligence (EI) and sociability. The sample consisted of 75 psychology students at Stockholm University who completed the Attachment Style Questionnaire (ASQ; Feeney,
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Thorsteinsson, Gisli, Tom Page, and M. Hasari. "CREATIVITY, INTELLIGENCE AND EMOTIONS IN InnoEd." 名古屋大学大学院教育発達科学研究科 技術・職業教育学研究室, 2006. http://hdl.handle.net/2237/12069.

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Soltwisch, Brandon William. "The Role of Emotional Intelligence in Escalation of Commitment Decisions: An Empirical Investigation." OpenSIUC, 2012. https://opensiuc.lib.siu.edu/dissertations/587.

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Escalation of commitment refers to the tendency of decision makers to continue with failing courses of action (Staw, 1981). An abundance of research has shown that decision makers persistently escalate commitment to less favorable alternatives when making a series of decisions related to a single course of action. This decision making fallacy occurs across a wide range of personal and professional settings, and has significant implications for management and policy. There has been a wealth of research suggesting various explanations for why escalating commitment occurs across a wide range o
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Curtin, Pamela. "The Use of Emotional Intelligence and Positive Emotions in Coping with Chronic Unemployment." Thesis, Northcentral University, 2016. http://pqdtopen.proquest.com/#viewpdf?dispub=10018937.

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<p> Chronic unemployment is one of the top stressors in life that affects an individual&rsquo;s income, identity and self-worth, emotional and physical health, and personal relationships. At the extreme, the stressors are associated with an increased risk of suicide. While the damaging effects of chronic unemployment are extensive, not everyone experiences such negative consequences. The focus of research has primarily been on the negative impact rather than exploring what may account for the differences in the ways that individuals adapt, such as the intelligent use of positive emotions.
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Astralaga, Ingrid. "Emergency Room Nurse Perceptions of Emotional Intelligence." ScholarWorks, 2018. https://scholarworks.waldenu.edu/dissertations/5970.

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The delivery of quality care has been a priority for the health care industry in the United States. Researchers have established positive correlations between the levels of emotional intelligence of registered nurses and their clinical performances. However, new evidence suggests the need to enhance the use of emotional intelligence (EI) in high-risk clinical units. With the intent to understand the use of EI, a phenomenological research approach was used to identify the emergency room nurse's understanding of EI. The Four-branch Model of Emotional Intelligence was used as the theoretical fram
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Crabbe, Rowena C. "Emotions in Sports." Thesis, Virginia Tech, 2007. http://hdl.handle.net/10919/33193.

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In recent years the NCAA has had problems with the delinquent behavior of collegiate athletes on and off the field. The ability to know what causes athletes to act out will help athletic programs and reputations. Psychological behaviors have been related to sports performance and behavior in prior studies In this study, we hypothesized that higher Emotional Intelligence in collegiate athletes, the ability to perceive, understand and manage oneâ s emotions, will be related to lower acts of delinquent behavior on and off the field, as well as better performance during games. Study partici
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Peter, Paula Caterina. "Emotional Reasoning and Decision Making: understanding and regulating emotions that serve people's goals." Diss., Virginia Tech, 2007. http://hdl.handle.net/10919/27062.

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Increasing physical activity and adopting a healthy diet have the goal to enhance consumer welfare. The goal of this set of studies is to contribute to a research agenda that tries to support and enhance the life of consumers, through the exploration of emotional intelligence as a new possible avenue of research related to consumer behavior and health. Four studies are proposed that look at the possibility to introduce emotional intelligence in decision making and performance related to health (i.e. adoption and maintenance of a healthy diet/weight). The findings suggest the salient role of
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Books on the topic "The intelligence of emotions"

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AlHashemi, Suhaila. Workplace emotions: Emotional intelligence in Bahraini management. Cambridge Scholars Publishing, 2012.

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Orme, Geetu. Emotionally intelligent living. Crown House, 2001.

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Nishida, Toyoaki, Lakhmi C. Jain, and Colette Faucher, eds. Modeling Machine Emotions for Realizing Intelligence. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-12604-8.

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Emotional intelligence. Bantam Books, 1995.

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Segal, Jeanne. Raising your emotional intelligence: A practical guide. H. Holt, 1997.

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Raising your emotional intelligence: A practical guide. H. Holt, 1997.

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My mixed emotions: Help your kids handle their feelings. Dorling Kindersley, 2018.

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Nussbaum, Martha Craven. Upheavals of thought: The intelligence of emotions. Cambridge University Press, 2001.

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Emotional intelligence: How they determine our success : increase your EQ by mastering your emotions. dsk-enterprise Inc. Ltd., 2014.

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Ambra, Gilles d'. Measure your EQ factor: Discover and develop your emotional potential. Foulsham, 2000.

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Book chapters on the topic "The intelligence of emotions"

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Lochner, Katharina. "Intelligence and Intelligence Testing." In Successful Emotions. Springer Fachmedien Wiesbaden, 2016. http://dx.doi.org/10.1007/978-3-658-12231-7_2.

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Gupta, Vishal, Shalini Bhattacharya, and Neena Gopalan. "Emotions, Emotional Intelligence and Conflict Management." In Soft Skills for Human Centered Management and Global Sustainability. Routledge, 2021. http://dx.doi.org/10.4324/9781003094463-4-6.

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Gazzard, Ann. "Emotions, Complexity, and Intelligence." In A Critique of Creativity and Complexity. SensePublishers, 2014. http://dx.doi.org/10.1007/978-94-6209-773-5_18.

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Savina, Elena, Caroline Fulton, and Christina Beaton. "Negative Emotions." In Training Teachers in Emotional Intelligence. Routledge, 2021. http://dx.doi.org/10.4324/9781003219774-3.

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Savina, Elena, Caroline Fulton, and Christina Beaton. "Positive Emotions." In Training Teachers in Emotional Intelligence. Routledge, 2021. http://dx.doi.org/10.4324/9781003219774-4.

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Crosby, Gilmore. "Yellow (Soft) Emotions." In Spirituality and Emotional Intelligence. Productivity Press, 2021. http://dx.doi.org/10.4324/9781003189336-17.

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Crosby, Gilmore. "Red (Hard) Emotions." In Spirituality and Emotional Intelligence. Productivity Press, 2021. http://dx.doi.org/10.4324/9781003189336-15.

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Crosby, Gilmore. "Blue (Fragile) Emotions." In Spirituality and Emotional Intelligence. Productivity Press, 2021. http://dx.doi.org/10.4324/9781003189336-16.

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Schutte, Nicola S., John M. Malouff, and Navjot Bhullar. "The Assessing Emotions Scale." In Assessing Emotional Intelligence. Springer US, 2009. http://dx.doi.org/10.1007/978-0-387-88370-0_7.

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Wieczorkowska, Alicja A. "Towards Extracting Emotions from Music." In Intelligent Media Technology for Communicative Intelligence. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11558637_23.

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Conference papers on the topic "The intelligence of emotions"

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Yang, Jufeng, Dongyu She, and Ming Sun. "Joint Image Emotion Classification and Distribution Learning via Deep Convolutional Neural Network." In Twenty-Sixth International Joint Conference on Artificial Intelligence. 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
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Zhang, Yuxiang, Jiamei Fu, Dongyu She, Ying Zhang, Senzhang Wang, and Jufeng Yang. "Text Emotion Distribution Learning via Multi-Task Convolutional Neural Network." In Twenty-Seventh International Joint Conference on Artificial Intelligence {IJCAI-18}. International Joint Conferences on Artificial Intelligence Organization, 2018. http://dx.doi.org/10.24963/ijcai.2018/639.

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Emotion analysis of on-line user generated textual content is important for natural language processing and social media analytics tasks. Most of previous emotion analysis approaches focus on identifying users’ emotional states from text by classifying emotions into one of the finite categories, e.g., joy, surprise, anger and fear. However, there exists ambiguity characteristic for the emotion analysis, since a single sentence can evoke multiple emotions with different intensities. To address this problem, we introduce emotion distribution learning and propose a multi-task convolutional neural
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Liu, Taiao, Yajun Du, and Qiaoyu Zhou. "Text Emotion Recognition Using GRU Neural Network with Attention Mechanism and Emoticon Emotions." In RICAI 2020: 2020 2nd International Conference on Robotics, Intelligent Control and Artificial Intelligence. ACM, 2020. http://dx.doi.org/10.1145/3438872.3439094.

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Zhao, Sicheng, Guiguang Ding, Yue Gao, and Jungong Han. "Approximating Discrete Probability Distribution of Image Emotions by Multi-Modal Features Fusion." In Twenty-Sixth International Joint Conference on Artificial Intelligence. International Joint Conferences on Artificial Intelligence Organization, 2017. http://dx.doi.org/10.24963/ijcai.2017/651.

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Existing works on image emotion recognition mainly assigned the dominant emotion category or average dimension values to an image based on the assumption that viewers can reach a consensus on the emotion of images. However, the image emotions perceived by viewers are subjective by nature and highly related to the personal and situational factors. On the other hand, image emotions can be conveyed by different features, such as semantics and aesthetics. In this paper, we propose a novel machine learning approach that formulates the categorical image emotions as a discrete probability distributio
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Khazova, S. A., and N. S. Shipova. "Emotional intelligence as a resource for codependent women." In INTERNATIONAL SCIENTIFIC AND PRACTICAL ONLINE CONFERENCE. Знание-М, 2020. http://dx.doi.org/10.38006/907345-50-8.2020.965.977.

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The relevance of the study of personal resources is related to the importance of knowledge about the factors that determine a person’s mental health despite living conditions. The research aim was to study the emotional intelligence as a coping resource of codependent women. Sample: 19 women aged 32 to 47 years who are in a close relationship with a chemically dependent person. All women are clients of groups that help relatives of dependent people in Kostroma. Methods: The Mayer — Salovey — Caruso Emotional Intelligence Test 1998 (MSCEIT v. 2.0), adaptation in Russian (Sergienko &amp; Vetrova
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Li, Shifeng, Shi Feng, Daling Wang, Kaisong Song, Yifei Zhang, and Weichao Wang. "EmoElicitor: An Open Domain Response Generation Model with User Emotional Reaction Awareness." In Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20}. International Joint Conferences on Artificial Intelligence Organization, 2020. http://dx.doi.org/10.24963/ijcai.2020/503.

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Generating emotional responses is crucial for building human-like dialogue systems. However, existing studies have focused only on generating responses by controlling the agents' emotions, while the feelings of the users, which are the ultimate concern of a dialogue system, have been neglected. In this paper, we propose a novel variational model named EmoElicitor to generate appropriate responses that can elicit user's specific emotion. We incorporate the next-round utterance after the response into the posterior network to enrich the context, and we decompose single latent variable into sever
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Loghmani, Mohammad Reza, Stefano Rovetta, and Gentiane Venture. "Emotional intelligence in robots: Recognizing human emotions from daily-life gestures." In 2017 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2017. http://dx.doi.org/10.1109/icra.2017.7989198.

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Banerjee, Romita, Karima Elgarroussi, Sujing Wang, Yongli Zhang, and Christoph F. Eick. "Tweet Emotion Mapping: Understanding US Emotions in Time and Space." In 2018 IEEE First International Conference on Artificial Intelligence and Knowledge Engineering (AIKE). IEEE, 2018. http://dx.doi.org/10.1109/aike.2018.00021.

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Nielek, Radoslaw, Miroslaw Ciastek, and Wiesław Kopeć. "Emotions make cities live." In WI '17: International Conference on Web Intelligence 2017. ACM, 2017. http://dx.doi.org/10.1145/3106426.3109041.

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Piazza, Alexander, Pavlina Kröckel, and Freimut Bodendorf. "Emotions and fashion recommendations." In WI '17: International Conference on Web Intelligence 2017. ACM, 2017. http://dx.doi.org/10.1145/3106426.3109441.

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Reports on the topic "The intelligence of emotions"

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Ivanova, E. S. FEATURES OF EMOTIONAL INTELLIGENCE In Adolescence. LJournal, 2017. http://dx.doi.org/10.18411/a-2017-005.

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Ivanova, E. S., and A. E. Motin. Development of emotional intelligence methods transactional Analysis. LJournal, 2017. http://dx.doi.org/10.18411/a-2017-009.

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Ivanova, E. S. Natural and formed DYNAMICS EMOTIONAL INTELLIGENCE older students. LJournal, 2017. http://dx.doi.org/10.18411/a-2017-003.

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Archer, Suzanne. Using Emotional Intelligence to Lead the TACOM Workforce. Defense Technical Information Center, 2012. http://dx.doi.org/10.21236/ada558461.

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Aldridge, Richard T. Emotional Intelligence: Advocating for the Softer Side of Leadership. Defense Technical Information Center, 2013. http://dx.doi.org/10.21236/ada589117.

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Ivanova, E. S. emotional Development intelligence within the training program specialists profilers. LJournal, 2017. http://dx.doi.org/10.18411/a-2017-008.

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Sadachar, Amrut, Virginia Rolling, and Srikant Manchiraju. Consumer Emotional Intelligence and its Role in the Apparel Consumption Behavior. Iowa State University, Digital Repository, 2017. http://dx.doi.org/10.31274/itaa_proceedings-180814-1920.

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Killgore, William D., and Sophie DelDonno. Neurological Basis and Potential Modification of Emotional Intelligence through Affective/Behavioral Training. Defense Technical Information Center, 2012. http://dx.doi.org/10.21236/ada602894.

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Killgore, William D. The Neurological Basis and Potential Modification of Emotional Intelligence through Affective/Behavioral Training. Defense Technical Information Center, 2010. http://dx.doi.org/10.21236/ada564537.

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Killgore, William D., and Lauren Demers. The Neurobiological Basis and Potential Modification of Emotional Intelligence through Affective / Behavioral Training. Defense Technical Information Center, 2013. http://dx.doi.org/10.21236/ada599247.

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