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Artículos de revistas sobre el tema "Emotion"

Autor: Grafiati

Publicado: 4 de junio de 2021

Última modificación: 25 de julio de 2025

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1

Brito, Pedro Quelhas, Sandra Torres, and Jéssica Fernandes. "What kind of emotions do emoticons communicate?" Asia Pacific Journal of Marketing and Logistics 32, no. 7 (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 emotio

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2

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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3

Liao, Songyang, Katsuaki Sakata, and Galina V. Paramei. "Color Affects Recognition of Emoticon Expressions." i-Perception 13, no. 1 (2022): 204166952210807. http://dx.doi.org/10.1177/20416695221080778.

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In computer-mediated communication, emoticons are conventionally rendered in yellow. Previous studies demonstrated that colors evoke certain affective meanings, and face color modulates perceived emotion. We investigated whether color variation affects the recognition of emoticon expressions. Japanese participants were presented with emoticons depicting four basic emotions (Happy, Sad, Angry, Surprised) and a Neutral expression, each rendered in eight colors. Four conditions (E1–E4) were employed in the lab-based experiment; E5, with an additional participant sample, was an online replication

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4

Merlina, Tina, Lia Maulia, and Rosaria Mita Amalia. "Verbal and Visual Expression of Emotions on Kaskus: a Semiotic Study." MIMBAR, Jurnal Sosial dan Pembangunan 29, no. 1 (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.

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5

Dhaka, Suman, and Naveen Kashyap. "Explicit emotion regulation: Comparing emotion inducing stimuli." Psychological Thought 10, no. 2 (2017): 303–14. http://dx.doi.org/10.5964/psyct.v10i2.240.

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Emotions are a major part of our subjective experiences of the world. At times, our emotions are not appropriate and require active management. Emotion regulation refers to the various ways of managing or controlling emotional responses. External stimuli play specific role in electing emotions. Pictures and movies elicit emotions and emotional effects of films are believed to exceed that of pictures. The aim of the present study is to compare the effectiveness of emotion regulation strategies across emotion induction method (picture and films). Forty participants rated their emotion on Self-As

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6

Lee, Mikyoung, and Keum-Seong Jang. "Nurses’ emotions, emotion regulation and emotional exhaustion." International Journal of Organizational Analysis 27, no. 5 (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 n

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7

Thonhauser, Gerhard. "Towards a Taxonomy of Collective Emotions." Emotion Review 14, no. 1 (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 o

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8

Mallikarjuna, Basetty, M. Sethu Ram, and Supriya Addanke. "An Improved Face-Emotion Recognition to Automatically Generate Human Expression With Emoticons." International Journal of Reliable and Quality E-Healthcare 11, no. 1 (2022): 1–18. http://dx.doi.org/10.4018/ijrqeh.314945.

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Any human face image expression naturally identifies expressions of happy, sad etc.; sometimes human facial image expression recognition is complex, and it is a combination of two emotions. The existing literature provides face emotion classification and image recognition, and the study on deep learning using convolutional neural networks (CNN), provides face emotion recognition most useful for healthcare and with the most complex of the existing algorithms. This paper improves the human face emotion recognition and provides feelings of interest for others to generate emoticons on their smartp

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9

Gabrielsson, Alf. "Emotion perceived and emotion felt: Same or different?" Musicae Scientiae 5, no. 1_suppl (2001): 123–47. http://dx.doi.org/10.1177/10298649020050s105.

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A distinction is made between emotion perception, that is, to perceive emotional expression in music without necessarily being affected oneself, and emotion induction, that is, listeners’ emotional response to music. This distinction is not always observed, neither in everyday conversation about emotions, nor in scientific papers. Empirical studies of emotion perception are briefly reviewed with regard to listener agreement concerning expressed emotions, followed by a selective review of empirical studies on emotional response to music. Possible relationships between emotion perception and emo

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10

Ptaszynski, Michal, Jacek Maciejewski, Pawel Dybala, Rafal Rzepka, and Kenji Araki. "CAO: A Fully Automatic Emoticon Analysis System." Proceedings of the AAAI Conference on Artificial Intelligence 24, no. 1 (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 t

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11

Doménech, Pablo, Ana M. Tur-Porcar, and Vicenta Mestre-Escrivá. "Emotion Regulation and Self-Efficacy: The Mediating Role of Emotional Stability and Extraversion in Adolescence." Behavioral Sciences 14, no. 3 (2024): 206. http://dx.doi.org/10.3390/bs14030206.

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The feeling of emotional self-efficacy helps people understand how to handle positive and negative emotions. Emotion regulation is the process that helps people control their emotions so that they can adapt to the demands of the environment. This study has a twofold aim. First, it examines the relationships among emotion regulation, the personality traits of extraversion and emotional stability, and the feeling of emotional self-efficacy for positive and negative emotions in an adolescent population. Second, it examines the mediating role of personality traits (extraversion and emotional stabi

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12

Lee, Mikyoung, Reinhard Pekrun, Jamie L. Taxer, Paul A. Schutz, Elisabeth Vogl, and Xiyao Xie. "Teachers’ emotions and emotion management: integrating emotion regulation theory with emotional labor research." Social Psychology of Education 19, no. 4 (2016): 843–63. http://dx.doi.org/10.1007/s11218-016-9359-5.

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13

Mehta, Ansh. "Emotion Detection using Social Media Data." International Journal for Research in Applied Science and Engineering Technology 9, no. 11 (2021): 1456–59. http://dx.doi.org/10.22214/ijraset.2021.39027.

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Abstract: Previous research on emotion recognition of Twitter users centered on the use of lexicons and basic classifiers on pack of words models, despite the recent accomplishments of deep learning in many disciplines of natural language processing. The study's main question is if deep learning can help them improve their performance. Because of the scant contextual information that most posts offer, emotion analysis is still difficult. The suggested method can capture more emotion sematic than existing models by projecting emoticons and words into emoticon space, which improves the performan

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14

Sheppes, Gal, Susanne Scheibe, Gaurav Suri, and James J. Gross. "Emotion-Regulation Choice." Psychological Science 22, no. 11 (2011): 1391–96. http://dx.doi.org/10.1177/0956797611418350.

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Despite centuries of speculation about how to manage negative emotions, little is actually known about which emotion-regulation strategies people choose to use when confronted with negative situations of varying intensity. On the basis of a new process conception of emotion regulation, we hypothesized that in low-intensity negative situations, people would show a relative preference to choose to regulate emotions by engagement reappraisal, which allows emotional processing. However, we expected people in high-intensity negative situations to show a relative preference to choose to regulate emo

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15

Bauer, Karen. "Emotion in the Qur'an: An Overview." Journal of Qur'anic Studies 19, no. 2 (2017): 1–30. http://dx.doi.org/10.3366/jqs.2017.0282.

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In the Western academic study of the Qur'an, very little has been written about emotion. The studies that do acknowledge the power of emotion tend to concentrate on emotion as a response to the text's aesthetics. And yet emotion is a central part of the Qur'an: fostering the correct emotions is a part of pietistic practice, emotion helps to convince believers to act as they should, and emotional words and incidents bring unity to this synoptic text. This article has four parts. It begins by reviewing approaches that have been taken in History and Biblical studies, in order to clarify the natur

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16

Fujisawa, Akira, Kazuyuki Matsumoto, Minoru Yoshida, and Kenji Kita. "Emotion Estimation Method Based on Emoticon Image Features and Distributed Representations of Sentences." Applied Sciences 12, no. 3 (2022): 1256. http://dx.doi.org/10.3390/app12031256.

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This paper proposes an emotion recognition method for tweets containing emoticons using their emoticon image and language features. Some of the existing methods register emoticons and their facial expression categories in a dictionary and use them, while other methods recognize emoticon facial expressions based on the various elements of the emoticons. However, highly accurate emotion recognition cannot be performed unless the recognition is based on a combination of the features of sentences and emoticons. Therefore, we propose a model that recognizes emotions by extracting the shape features

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17

Son, Surak, and Yina Jeong. "Face and Voice Recognition-Based Emotion Analysis System (EAS) to Minimize Heterogeneity in the Metaverse." Applied Sciences 15, no. 2 (2025): 845. https://doi.org/10.3390/app15020845.

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The metaverse, where users interact through avatars, is evolving to closely mirror the real world, requiring realistic object responses based on users’ emotions. While technologies like eye-tracking and hand-tracking transfer physical movements into virtual spaces, accurate emotion detection remains challenging. This study proposes the “Face and Voice Recognition-based Emotion Analysis System (EAS)” to bridge this gap, assessing emotions through both voice and facial expressions. EAS utilizes a microphone and camera to gauge emotional states, combining these inputs for a comprehensive analysis

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18

Wu, Xinxing, and Yun Lu. "MENTAL HEALTH STATUS AND EMOTIONAL BEHAVIOR REGULATIONOF SCI-TECH JOURNAL EDITORS AND ITS IMPACT ON JOURNAL QUALITY." International Journal of Neuropsychopharmacology 25, Supplement_1 (2022): A110—A111. http://dx.doi.org/10.1093/ijnp/pyac032.148.

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Abstract Background Psychological fatigue is a common psychological phenomenon among college journal editors. Emotion regulation is a process in which individuals use various factors and means to regulate and control their own emotions. Emotion regulation is an activity that serves personal purposes and is conducive to their own survival and development. Emotion regulation is the strategy and means that individuals use to regulate emotions when facing positive and negative emotions. It includes conscious strategies and unconscious emotion regulation mechanisms commonly used by individuals. Emo

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19

Bakalova, Marina. "Learning Emotion Concepts." Balkan Journal of Philosophy 13, no. 2 (2021): 175–80. http://dx.doi.org/10.5840/bjp202113220.

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This paper reveals the importance of learning emotion concepts due to the efficiency of emotional granularity during the categorization of emotions. There are two ways of learning emotion concepts that can contribute to emotional granularity. First, we can learn emotion words. Second, we can learn the implicit content of our emotion concepts, i.e. how emotions feel to us. In order to complete the second task, we need to acquire vivid awareness and vivid memory of the implicit content of our emotion concept. I claim that only after completing the second task can we learn emotion words in a way

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20

Kiishi, Vina Dooshima. "The Role of Emotional Intelligence in Effective Leadership and Its Impact on Team Performance: A Study of the University of Ibadan, Nigeria." International Journal of Business and Management Review 12, no. 2 (2024): 75–138. http://dx.doi.org/10.37745/ijbmr.2013/vol12n275138.

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This study aimed to investigate the impact of emotional intelligence on leadership effectiveness in the University of Ibadan, Nigeria. The emotional intelligence model used in this study consisted of four sub-variables: self-emotion appraisal, others emotion appraisal, regulation of emotions, and use of emotions. The study found that emotional intelligence has a strong positive and significant relationship with leadership effectiveness. The results of the regression analysis showed that emotional intelligence positively relates to leadership effectiveness. The study concluded that emotional in

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21

Hayward, Renae Maree, and Michelle Rae Tuckey. "Emotions in uniform: How nurses regulate emotion at work via emotional boundaries." Human Relations 64, no. 11 (2011): 1501–23. http://dx.doi.org/10.1177/0018726711419539.

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The management of emotions at work has been conceptualized in terms of its association with emotional inauthenticity and dissonance. In contrast, we integrate the idea of emotion regulation at work with basic strategic and adaptive functions of emotion, offering a new way of understanding how emotions can be harnessed for task achievement and personal development. Through a content analysis of interview data we examined how and why emotion regulation is carried out by employees, focusing on the in situ experiences of nurses. The manipulation of emotional boundaries, to create an emotional dist

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22

Tian, Wenqiang. "Personalized Emotion Recognition and Emotion Prediction System Based on Cloud Computing." Mathematical Problems in Engineering 2021 (May 26, 2021): 1–10. http://dx.doi.org/10.1155/2021/9948733.

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Promoting economic development and improving people’s quality of life have a lot to do with the continuous improvement of cloud computing technology and the rapid expansion of applications. Emotions play an important role in all aspects of human life. It is difficult to avoid the influence of inner emotions in people’s behavior and deduction. This article mainly studies the personalized emotion recognition and emotion prediction system based on cloud computing. This paper proposes a method of intelligently identifying users’ emotional states through the use of cloud computing. First, an emotio

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23

Zhang, Yong De, Shu Tong Li, Jin Gang Jiang, and Tian Hua He. "Research on Emotion Body Language Model of the Humanoid Robot." Applied Mechanics and Materials 494-495 (February 2014): 1278–81. http://dx.doi.org/10.4028/www.scientific.net/amm.494-495.1278.

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In order to improve the personification of human-robot emotion interaction, this paper based on the Euclidean space emotion model and Ekman theory of emotion, deduces the general formula of emotion characteristic value, establishes a improvement model of robot which can express the robots emotion through the body language. The general formula of emotional feature value make the models suitable for the expression of various emotions, and through body language to express the emotions, improves the emotion expression model generality and adaptability.

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Upama, Sarkar. "EMOTION AND PERCEPTION." ADVANCE RESEARCH JOURNAL OF MULTIDISCIPLINARY DISCOVERIES 55, no. 1 (2021): 15–18. https://doi.org/10.5281/zenodo.4682770.

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The word ‘emotion’ and ‘feeling’ are just synonyms but we often used these words interchangeably. We have different types of emotions like happiness, sadness, anger, fear etc. The way we make decision, take action and perceive the reality are influenced by emotions. But can we say that we see emotions? Most of the answers will be negative. In this paper I would like to discuss about how emotion is related with perception. In virtual life we often use emoji or emoticons to express our emotion but is it sufficient to express emotions? We see the bodily expression and said

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Geiger, Mattis, Sally Gayle Olderbak, and Oliver Wilhelm. "“Show Me What You Got”: The Nomological Network of the Ability to Pose Facial Emotion Expressions." Journal of Intelligence 12, no. 3 (2024): 27. http://dx.doi.org/10.3390/jintelligence12030027.

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Just as receptive emotional abilities, productive emotional abilities are essential for social communication. Although individual differences in receptive emotional abilities, such as perceiving and recognizing emotions, are well-investigated, individual differences in productive emotional abilities, such as the ability to express emotions in the face, are largely neglected. Consequently, little is known about how emotion expression abilities fit in a nomological network of related abilities and typical behavior. We developed a multitask battery for measuring the ability to pose emotional expr

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D, Darshan, and Shilpashri H N. "Perception of Vocal Expression of Emotions in Kannada Speaking Healthy Adults." International Journal of Health Sciences and Research 13, no. 3 (2023): 75–79. http://dx.doi.org/10.52403/ijhsr.20230308.

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Vocal expression is the most common approach to understand emotions in speech. There are various types of emotional expression that every human experience, but happiness, sad, fear, questioning was found to be most experienced by humans in day-to-day conversation. Perception of these emotions is much necessary to understand the feelings and interpret the speaker’s emotional status and intend of communication. Various researchers have reported aging led to a deterioration on emotional perception, and some researchers have also reported emotion is relatively unaffected by aging or even improves

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Sahib, Rizwan. "Emotion Work in Tabligh Jama’at Texts." Religions 13, no. 7 (2022): 632. http://dx.doi.org/10.3390/rel13070632.

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This study examines the emotional dynamics of the written and oral texts of Tabligh Jama’at—respectively, Faza’il-e-A’maal (Virtues of Good Deeds) and bayan (religious sermon). In them, the study identifies emotion work—the attempt to generate certain emotions. The study discusses how the texts’ emotion work relates to Tablighi discursive ideology (framing) and also posits several emotions that the emotion work might generate. From these findings, the study offers the idea that Tablighi emotion work contributes to transforming Muslims’ emotional sphere by attaching them emotionally to ultimate

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Ortiz-Bonnín, Silvia, M. Esther García-Buades, Amparo Caballer, and Dieter Zapf. "Supportive Climate and Its Protective Role in the Emotion Rule Dissonance – Emotional Exhaustion Relationship." Journal of Personnel Psychology 15, no. 3 (2016): 125–33. http://dx.doi.org/10.1027/1866-5888/a000160.

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Abstract. Emotion work, or the requirement to display certain emotions during service interactions, may produce burnout when these emotions are not truly felt – emotion rule dissonance. Building on the support-buffering model we hypothesized that a supportive climate should provide emotional resources to employees protecting them against strain from emotion work. We tested this multilevel prediction in a sample of 317 front-line employees nested in 99 work units at large Spanish hotels and restaurants. Our results showed that supportive climate protects employees against experiencing emotional

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Kim, Tae-Yeun, Hoon Ko, Sung-Hwan Kim, and Ho-Da Kim. "Modeling of Recommendation System Based on Emotional Information and Collaborative Filtering." Sensors 21, no. 6 (2021): 1997. http://dx.doi.org/10.3390/s21061997.

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Emotion information represents a user’s current emotional state and can be used in a variety of applications, such as cultural content services that recommend music according to user emotional states and user emotion monitoring. To increase user satisfaction, recommendation methods must understand and reflect user characteristics and circumstances, such as individual preferences and emotions. However, most recommendation methods do not reflect such characteristics accurately and are unable to increase user satisfaction. In this paper, six human emotions (neutral, happy, sad, angry, surprised,

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Zhou, Tie Hua, Wenlong Liang, Hangyu Liu, Ling Wang, Keun Ho Ryu, and Kwang Woo Nam. "EEG Emotion Recognition Applied to the Effect Analysis of Music on Emotion Changes in Psychological Healthcare." International Journal of Environmental Research and Public Health 20, no. 1 (2022): 378. http://dx.doi.org/10.3390/ijerph20010378.

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Music therapy is increasingly being used to promote physical health. Emotion semantic recognition is more objective and provides direct awareness of the real emotional state based on electroencephalogram (EEG) signals. Therefore, we proposed a music therapy method to carry out emotion semantic matching between the EEG signal and music audio signal, which can improve the reliability of emotional judgments, and, furthermore, deeply mine the potential influence correlations between music and emotions. Our proposed EER model (EEG-based Emotion Recognition Model) could identify 20 types of emotions

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Tian, Yuan. "Music emotion representation based on non-negative matrix factorization algorithm and user label information." PeerJ Computer Science 9 (September 25, 2023): e1590. http://dx.doi.org/10.7717/peerj-cs.1590.

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Music emotion representation learning forms the foundation of user emotion recognition, addressing the challenges posed by the vast volume of digital music data and the scarcity of emotion annotation data. This article introduces a novel music emotion representation model, leveraging the nonnegative matrix factorization algorithm (NMF) to derive emotional embeddings of music by utilizing user-generated listening lists and emotional labels. This approach facilitates emotion recognition by positioning music within the emotional space. Furthermore, a dedicated music emotion recognition algorithm

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Bolton, Sharon C. "`EMOTION HERE, EMOTION THERE, EMOTIONAL ORGANISATIONS EVERYWHERE'." Critical Perspectives on Accounting 11, no. 2 (2000): 155–71. http://dx.doi.org/10.1006/cpac.1998.0236.

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Thornton, Mark A., and Diana I. Tamir. "Mental models accurately predict emotion transitions." Proceedings of the National Academy of Sciences 114, no. 23 (2017): 5982–87. http://dx.doi.org/10.1073/pnas.1616056114.

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Successful social interactions depend on people’s ability to predict others’ future actions and emotions. People possess many mechanisms for perceiving others’ current emotional states, but how might they use this information to predict others’ future states? We hypothesized that people might capitalize on an overlooked aspect of affective experience: current emotions predict future emotions. By attending to regularities in emotion transitions, perceivers might develop accurate mental models of others’ emotional dynamics. People could then use these mental models of emotion transitions to pred

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Astutik, Windu, and Siti Kholifah. "Pelatihan Regulasi Emosi pada Remaja dalam Peningkatan Kemampuan Psikososial." Jurnal Pengabdian kepada Masyarakat Wahana Usada 5, no. 1 (2023): 31–36. http://dx.doi.org/10.47859/wuj.v5i1.314.

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Background: Rapid development in adolescence is often problematic psychologically. Youth need the intelligence and emotional capacity to manage emotions to deal with the developments taking place to find a positive identity. Purpose: to improve knowledge among students about intelligence and emotional exercise regulations emotion at teenagers. Methods: The mental health education about intelligence and emotional regulation emotion among teenagers at SMP Negeri 15 Loajanan Samarinda. Education and training should be conducted by direct interaction with 60 students in class with matter the intro

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Sarry, Septi Mayang, and Eka Ervika. "Parental Emotional Coaching untuk Meningkatkan Kemampuan Menghadapi Emosi Negatif Anak Tunarungu." Prosiding Penelitian dan Pengabdian kepada Masyarakat 5, no. 2 (2018): 117. http://dx.doi.org/10.24198/jppm.v5i2.18374.

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AbstrakPenelitian ini bertujuan untuk mengetahui perbedaan kemampuan orangtua dalam menghadapi anak yang memiliki emosi negatif sebelum dan sesudah mengikuti program parental emotional coahing. Hasil dari penelitian ini menunjukan parental emotional coaching efektif bagi orangtua untuk meningkatkan kemampuan menghadapi emosi negatif anak tunarungu. Penelitian ini merupakan quasi eksperimen yang diukur dengan Coping with Children’s Emotion Scale (CCNES) dari Fabes dan koleganya (1990-an) yang mengambarkan 6 respon orangtua dalam menghadapi emosi negatif anak yaitu problem focused reaction, emot

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Förster, Katharina, Marcel Kurtz, Annika Konrad, and Philipp Kanske. "Emotional Reactivity, Emotion Regulation, and Social Emotions in Affective Disorders." Zeitschrift für Klinische Psychologie und Psychotherapie 51, no. 1 (2022): 11–25. http://dx.doi.org/10.1026/1616-3443/a000648.

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Abstract. Affective disorders, specifically Major Depressive Disorder and Bipolar Disorders, show high prevalence, relapse rates, and a high likelihood to develop a chronic course. For the past two decades, research has investigated the neural correlates of emotion processing and emotion regulation in patients with affective disorders. Putative underlying causal mechanisms of dysregulated affect have been informed by knowledge from the intersection of neuroimaging and clinical psychology. More recent investigations also consider processing the role of mostly negative, self-blaming social emoti

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Matsuda, Ryo. "Multiple Emotion Regulation in Rorschach Color Responses." Rorschachiana 40, no. 2 (2019): 112–30. http://dx.doi.org/10.1027/1192-5604/a000116.

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Abstract. While color-related responses to the Rorschach test have been interpreted as reflecting respondents’ emotional characteristics, their validity has been criticized. Since Rorschach validity should be confirmed by both unconscious and conscious processes, this study focused on implicit positive attitudes toward emotion regulation (considered an unconscious mechanism that motivates regulating emotions) and emotion-regulation strategy. In total, 39 undergraduates (two of whom were excluded from the analyses) completed the Rorschach test, the Implicit Association Test (IAT; measures impli

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Roy, Ananya. "Interpersonal Emotion Regulation and Emotional Intelligence: A Review." International Journal of Research Publication and Reviews 04, no. 02 (2023): 623–27. http://dx.doi.org/10.55248/gengpi.2023.42002.

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In recent years, research on the connection between interpersonal emotion regulation and emotional intelligence has expanded. Both ideas have significant consequences for how people perform in a range of situations. While emotional intelligence refers to the capacity to comprehend and regulate emotions in oneself and others, interpersonal emotion regulation refers to the ability to control one's own and other's emotions during social interactions. This study analyses the most recent research on the connection between emotional intelligence and interpersonal emotion regulation, concentrating on

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Ansh, Sharma. "The Integrated Variable Emotion Theory and Multi-Dimensional Emotion Model." Journal of Research and Innovation in Technology, Commerce and Management Vol. 2, Issue 5 (2025): 2565–84. https://doi.org/10.5281/zenodo.15424435.

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Emotion AI or Affective Computing (AC) contributes in new ways to improve communication between sensitive humans and computers, which are unemotional. Emotion recognition from the text is an evolving area of research in Natural Language Processing. Emotions influence human behaviour to a great extent. Sometimes actions are based on emotions we feel. Many researchers and Psychologists have provided answers to questions such as how we have emotions and what causes us to have these emotions. They have proposed different theories to explain why humans have emotions and suggest computational models

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Qi, Baohua. "ON THE EXPRESSION AND GUIDANCE OF NETWORK EMOTION IN EMERGENCIES FROM THE CHANGE OF EMOTIONAL BEHAVIOR -- TAKING THE RAINSTORM IN ZHENGZHOU ON JULY 20 AS AN EXAMPLE." International Journal of Neuropsychopharmacology 25, Supplement_1 (2022): A37—A38. http://dx.doi.org/10.1093/ijnp/pyac032.052.

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Abstract Background With the development of the Internet and the wide popularization of social media, the Internet has become an important channel for netizens to express their views and emotions. Due to the huge impact, emergencies often attract the high attention and extensive emotional response of Internet users. As the most active factor in network public opinion, network emotion affects the development of network public opinion. Therefore, it is of great significance to strengthen the research on the change law and guidance of network emotional expression under emergencies. Subjects and M

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Abstract, Nicky James. "Emotional Labour: Skill and Work in the Social Regulation of Feelings." Sociological Review 37, no. 1 (1989): 15–42. http://dx.doi.org/10.1111/j.1467-954x.1989.tb00019.x.

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I define emotional labour as the labour involved in dealing with other peoples' feelings, a core component of which is the regulation of emotions. The aims of the paper are firstly to suggest that the expression of feelings is a central problem of capital and paid work and secondly to highlight the contradictions of emotions at work. To begin with I argue that ‘emotion’ is a subject area fitting for inclusion in academic discussion, and that the expression of emotions is regulated by a form of labour. In the section ‘Emotion at home’ I suggest that emotional labour is used to lay the foundatio

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Gordon, Nakia S., and Samantha A. Chesney. "On the Outside Looking In: Distress and Sympathy for Ethnic Victims of Violence by Out-Group Members." Journal of Cognition and Culture 17, no. 3-4 (2017): 199–217. http://dx.doi.org/10.1163/15685373-12340004.

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Abstract It is well documented that individuals respond with negative emotions to racial and ethnic out-groups. Yet, it is unknown whether the responses are a measure of simple emotional reactivity or if they are also influenced by emotion regulation. Given the importance of emotions in out-group evaluation (see Intergroup Emotion Theory; Smith and Mackie, 2008), we investigated emotional reactivity and regulation in response to out-group victimization. Forty-one undergraduates completed the Emotion Regulation Questionnaire and viewed three sets of images: lynching of African-Americans, tortur

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Garofalo, Carlo, Belén López-Pérez, Michaela Gummerum, Yaniv Hanoch, and Maya Tamir. "Emotion Goals: What Do Sexual Offenders Want to Feel?" International Journal of Offender Therapy and Comparative Criminology 63, no. 15-16 (2019): 2611–29. http://dx.doi.org/10.1177/0306624x19866114.

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Sexual offenders typically experience more negative emotions and greater difficulties in regulating emotions than non-offenders. However, limited data exist on what sexual offenders want to feel (i.e., their emotion goals). Notably, emotion goals play a key role in emotion regulation and contribute to emotional experience. The present study tested whether sexual offenders ( N = 31) reported higher scores for negative emotion goals and lower scores for positive emotion goals, compared with general offenders ( N = 26) and non-offenders ( N = 26). In addition, we tested whether sexual offenders d

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Kılıç, Şükran, and Abide Güngör Aytar. "Emotion understanding of Turkish preschoolers and maternal emotional socialization." Journal of Human Sciences 13, no. 1 (2016): 2102. http://dx.doi.org/10.14687/ijhs.v13i1.3708.

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The aim of the study is to investigate the relationship between emotion understanding and maternal emotional socialization responses to children's negative emotions. Emotion understanding was also investigated according to children's age and gender. The participants included 210 Turkish children and their mothers living in Ankara, Turkey. All children were recruited from kindergartens and all of them were between 48-72 month-olds. To gather data, Affect Knowledge Test (AKT) and Coping with Children’s Negative Emotions Scale were used. Confirmayory Factor Analysis was performed for construct va

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Lopes, Teresa, Annelyse Soares, and Ana Palma-Moreira. "Toxic Leadership and Turnover Intentions: Emotional Intelligence as a Moderator of This Relationship." Administrative Sciences 15, no. 1 (2025): 26. https://doi.org/10.3390/admsci15010026.

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This study aimed to investigate the relationship between toxic leadership and turnover intentions and whether this relationship was moderated by emotional intelligence. The sample consisted of 202 participants working in organizations based in Portugal. The results show that toxic leadership is positively and significantly associated with turnover intentions. Regarding emotional intelligence, only the dimensions of the use of emotions and the emotions of others are positively and significantly associated with turnover intentions. As for the moderating effect, only the use of emotions and emoti

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Nook, Erik C., Stephanie F. Sasse, Hilary K. Lambert, Katie A. McLaughlin, and Leah H. Somerville. "The Nonlinear Development of Emotion Differentiation: Granular Emotional Experience Is Low in Adolescence." Psychological Science 29, no. 8 (2018): 1346–57. http://dx.doi.org/10.1177/0956797618773357.

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People differ in how specifically they separate affective experiences into different emotion types—a skill called emotion differentiation or emotional granularity. Although increased emotion differentiation has been associated with positive mental health outcomes, little is known about its development. Participants ( N = 143) between the ages of 5 and 25 years completed a laboratory measure of negative emotion differentiation in which they rated how much a series of aversive images made them feel angry, disgusted, sad, scared, and upset. Emotion-differentiation scores were computed using intra

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Homayouni, A. "Comparisonal investigation of emotional intelligence in addicted and nonaddicted people." European Psychiatry 26, S2 (2011): 53. http://dx.doi.org/10.1016/s0924-9338(11)71764-3.

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Introduction & objectivesEmotional intelligence (E/I) consists of appraisal of emotion in the self and others, regulation of emotion in the self and others and utilization of emotion in solving problems. Subsumed under these branches are functions such as verbal and non verbal appraisal and expression of emotion and using emotions to motivate as part of the utilization of emotions. (Salovey & Mayer's, 1990). Emotional intelligence components are important in psychological functions such as problem-solving, happiness, stress-tolerance, self-actualization and interpersonal relationship.

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Milenkovic, Ana. "The conceptualisation of primary emotions in the Serbian language (The case of verbs expressing joy, sadness, fear and anger)." Juznoslovenski filolog 77, no. 1 (2021): 163–85. http://dx.doi.org/10.2298/jfi2101163m.

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The paper analyses the conceptual mechanisms underlying the development of secondary emotional meanings of ?non-emotional? verbs (in relation to their primary meaning). Being abstract, psychological entities, emotions are formalised and expressed by linguistic means using emotional lexis. Emotional verbs represent a type of this lexis: they denote emotions, emotional relationships and processes, emotional expression and an emotional situation as a whole. The research material consists of 92 verbs which are classified according to two criteria: a. the semantic role of the experiencer, i.e. whet

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Vuoskoski, Jonna K., and Tuomas Eerola. "Measuring music-induced emotion." Musicae Scientiae 15, no. 2 (2011): 159–73. http://dx.doi.org/10.1177/1029864911403367.

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Most previous studies investigating music-induced emotions have applied emotion models developed in other fields to the domain of music. The aim of this study was to compare the applicability of music-specific and general emotion models – namely the Geneva Emotional Music Scale (GEMS), and the discrete and dimensional emotion models – in the assessment of music-induced emotions. A related aim was to explore the role of individual difference variables (such as personality and mood) in music-induced emotions, and to discover whether some emotion models reflect these individual differences more s

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Bebko, Genna M., Bobby K. Cheon, Kevin N. Ochsner, and Joan Y. Chiao. "Cultural Differences in Perceptual Strategies Underlying Emotion Regulation." Journal of Cross-Cultural Psychology 50, no. 9 (2019): 1014–26. http://dx.doi.org/10.1177/0022022119876102.

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Cultural norms for the experience, expression, and regulation of emotion vary widely between individualistic and collectivistic cultures. Collectivistic cultures value conformity, social harmony, and social status hierarchies, which demand sensitivity and focus to broader social contexts, such that attention is directed to contextual emotion information to effectively function within constrained social roles and suppress incongruent personal emotions. By contrast, individualistic cultures valuing autonomy and personal aspirations are more likely to attend to central emotion information and to

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