Bibliografías temáticas / Emotion

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Literatura académica sobre el tema "Emotion"

Autor: Grafiati
Publicado: 4 de junio de 2021
Última modificación: 25 de julio de 2025

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Artículos de revistas sobre el tema "Emotion"

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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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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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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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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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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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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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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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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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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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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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Tesis sobre el tema "Emotion"

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Kneeland, Elizabeth Tepe. "Emotion Malleability Beliefs| Implications for Emotional Experiences, Emotion Regulation, Psychopathology, and Treatment." Thesis, Yale University, 2019. http://pqdtopen.proquest.com/#viewpdf?dispub=13851894.

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<p> Emotion dysregulation, or difficulties regulating one's emotions, has been increasingly identified as a transdiagnostic factor that can increase risk for and maintain a wide range of psychiatric disorders (Fernandez, Jazaieri, &amp; Gross, 2016). Emotion malleability beliefs represent a potent psychological factor that relates to emotion regulation and, relatedly, holds important clinical implications for our conceptualizations of and treatment for a range of psychiatric disorders. The current dissertation includes one literature review and four empirical investigations that used an array
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Nicholls, Tanja. "Emotion lexicon in the Sepedi, Xitsonga and Tshivenda language groups in South Africa : the impact of culture on emotion / T. Nicholls." Thesis, North-West University, 2008. http://hdl.handle.net/10394/2141.

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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 preci
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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 wit
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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.<br>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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Perez-Rivera, Marie Belle. "Mothers' beliefs about emotions, mother-child emotion discourse, and children's emotion understanding in Latino families." Thesis, Virginia Tech, 2008. http://hdl.handle.net/10919/32229.

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The purpose of this study was to better understand associations between acculturation, parental beliefs, mother-child emotion talk, and emotion understanding in Latino preschool-aged children. Research on Latino families may prove to be important given the little research that has focused on emotion understanding strictly in Latino cultures. Forty Latino mother-child dyads were observed throughout a series of naturalistic observations. Mothers self-reported their acculturation and their beliefs about the value and danger of childrenâ s emotions, childrenâ s emotional development processes, a
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Glisenti, Kevin. "Emotion focused therapy for binge-eating disorder." Thesis, Queensland University of Technology, 2021. https://eprints.qut.edu.au/213834/1/Kevin_Glisenti_Thesis.pdf.

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This thesis explored the feasibility and efficacy of individual emotion-focused therapy for binge-eating disorder, and the role of beliefs about emotions and emotional expressivity as potential mechanisms of change. The unique findings of this research will assist clinicians and patients by providing another treatment option for binge-eating disorder, which is important given mounting evidence of the comparatively high prevalence and clinical significance, and the paucity of proven effective treatment approaches for this condition compared to other eating disorders such as anorexia nervosa and
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Sison, Jo Ann G. "Memory interference and emotion : does remembering emotional items impair recall of other same-emotion items? /." Diss., Digital Dissertations Database. Restricted to UC campuses, 2005. http://uclibs.org/PID/11984.

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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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CARRETERO, MIGUEL RAMOS. "Expression of Emotion in Virtual Crowds:Investigating Emotion Contagion and Perception of Emotional Behaviour in Crowd Simulation." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-153966.

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Emotional behaviour in the context of crowd simulationis a topic that is gaining particular interest in the area of artificial intelligence. Recent efforts in this domain havelooked for the modelling of emotional emergence and socialinteraction inside a crowd of virtual agents, but further investigation is still needed in aspects such as simulation of emotional awareness and emotion contagion. Also, in relation to perception of emotions, many questions remain about perception of emotional behaviour in the context of virtual crowds.This thesis investigates the current state-of-the-art of emotio
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Libros sobre el tema "Emotion"

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Arnold, Magda B. Emotion and personality. Columbia University Press, 1987.

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Goozen, Stephanie H. M. van, Poll, Nanne E. van de, and Sergeant Joseph A, eds. Emotions: Essays on emotion theory. L. Erlbaum, 1994.

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Sclater, Shelley Day, David W. Jones, Heather Price, and Candida Yates, eds. Emotion. Palgrave Macmillan UK, 2009. http://dx.doi.org/10.1057/9780230245136.

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Brady, Michael S. Emotion. Routledge, 2018. http://dx.doi.org/10.4324/9780429025068.

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N, Shiota Michelle, ed. Emotion. 2nd ed. Wadsworth, 2011.

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W, Kalat James, ed. Emotion. 2nd ed. Wadsworth, 2012.

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Association, American Psychological, ed. Emotion-focused therapy. American Psychological Association, 2011.

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Cinque, Kristen. Emotion in Emotions. Divine Alliance LLC, 2017.

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Corrigan, John. Emotion. Edited by Michael Stausberg and Steven Engler. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780198729570.013.37.

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Religion often has attended to emotion as a part of religious experience. While that has enhanced theological depth and precision, it also has framed a highly psychologized view of emotion in religion. Historical scholarship of religious practice has prompted other views of emotion, shifting attention from religious experience to culturally derived emotional frameworks. Researchers have also emphasized the cognitive element in emotion, and the biological superstructures of emotional life. Research has translated to a range of investigative projects, some blending discussion of cognition, feeli
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Meyer, Susan Sauvé, and Adrienne M. Martin. Emotion and the Emotions. Oxford University Press, 2013. http://dx.doi.org/10.1093/oxfordhb/9780199545971.013.0030.

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Capítulos de libros sobre el tema "Emotion"

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Frijda, Nico H., Suprapti Markam, Kaori Sato, and Reinout Wiers. "Emotions and Emotion Words." In Everyday Conceptions of Emotion. 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." In Counselling Young People. Routledge, 2023. http://dx.doi.org/10.4324/9781003323938-12.

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Frenzel, Anne C., Thomas Goetz, and Kristina Stockinger. "Emotions and Emotion Regulation." In Handbook of Educational Psychology, 4th ed. Routledge, 2023. http://dx.doi.org/10.4324/9780429433726-13.

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von Tetzchner, Stephen. "Emotions and Emotion Regulation." In Child and Adolescent Psychology. Routledge, 2018. http://dx.doi.org/10.4324/9781315742113-17.

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Hesse, Colin, and Alan C. Mikkelson. "Emotion and Emotional Communication." In The Handbook of Communication Science and Biology. Routledge, 2020. http://dx.doi.org/10.4324/9781351235587-25.

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Bozinovski, Stevo. "Artificial Emotion and Emotion Learning: Emotions as Value Judgements." In Affective Interactions. Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/10720296_10.

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Ann Wilkinson, Rebecca, and Gioia Chilton. "Positive Emotions and Emotion Regulation." In Positive Art Therapy Theory and Practice. Routledge, 2017. http://dx.doi.org/10.4324/9781315694245-6.

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Sclater, Shelley Day, Candida Yates, Heather Price, and David W. Jones. "Introducing Psychosocial Studies of Emotion." In Emotion. Palgrave Macmillan UK, 2009. http://dx.doi.org/10.1057/9780230245136_1.

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Hollway, Wendy, and Tony Jefferson. "Panic and Perjury: A Psychosocial Exploration of Agency." In Emotion. Palgrave Macmillan UK, 2009. http://dx.doi.org/10.1057/9780230245136_10.

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Urwin, Cathy. "Separation and Changing Identity in Becoming a Mother." In Emotion. Palgrave Macmillan UK, 2009. http://dx.doi.org/10.1057/9780230245136_11.

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Actas de conferencias sobre el tema "Emotion"

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Mohammed, Parvez, Bakir Hadzic, Mohammed Eyad Alkostantini, Naoyuki Kubota, Youssef Shiban, and Matthias Rätsch. "Hearing emotions: fine-tuning speech emotion recognition models." In 2024 The 5th Symposium on Pattern Recognition and Applications, edited by Xiaodan Pang. SPIE, 2025. https://doi.org/10.1117/12.3057659.

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Kumar, R. Praveen, Pannala Ramya, G. Sai Teja, and V. Rama Krishna. "BERTing Emotions: Exploring Textual Emotion Recognition using NLP." In 2025 International Conference on Intelligent Computing and Control Systems (ICICCS). IEEE, 2025. https://doi.org/10.1109/iciccs65191.2025.10984670.

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Fan, Xiaoli, Hua Guo, Feng Wu, and Shuyu Shao. "Effectiveness Evaluation of Video Evoked Target-Emotion Method." In AHFE 2023 Hawaii Edition. AHFE International, 2023. http://dx.doi.org/10.54941/ahfe1004294.

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This paper mainly evaluates and studies the effectiveness of video to induce five target emotions: happiness, sadness, relaxation, fear and neutrality, providing theoretical basis and guiding significance for better application of such methods in emotion-related research in the future. This study adopted the methods of desktop research, subjective self-evaluation and expert evaluation to collect and screen out 20 emotion-inducing video materials from major mainstream video websites. On this basis, a reasonable emotion-inducing experiment paradigm was designed: First, the guidance was presented
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AS, Sai Puneeth Theja, Prasanna P, Prathush S, Mounika M, Vinod M, and Swetha M. "Speech Emotion Recognition Using Machine Learning." In Sri Venkatesa Perumal College of Engineering and Technology. International Journal of Advanced Trends in Engineering and Management, 2024. http://dx.doi.org/10.59544/spav1663/svpcet24p17.

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The task of speech emotion recognition in human computer interaction is both fascinating and difficult. The practice of attempting to discern affective and emotional states in speech is known as speech emotion recognition. Speech emotion recognition is the process of accurately anticipating a person’s emotion from their speech. Many states, such as tone, pitch, expression, behaviour, etc., can be used to forecast an individual’s emotion. A select few of them are thought to be able to convey emotion through speaking. With the aid of feature extraction approaches that extract characteristics lik
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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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Esau, Natascha, Lisa Kleinjohann, and Bernd Kleinjohann. "Emotional Competence in Human-Robot Communication." In 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 move
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Sinha, Arryan, and G. Suseela. "Deep Learning-Based Speech Emotion Recognition." In International Research Conference on IOT, Cloud and Data Science. 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
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Lorenzo Bautista, John, Yun Kyung Lee, Seungyoon Nam, Chanki Park, and Hyun Soon Shin. "Utilizing Dimensional Emotion Representations in Speech Emotion Recognition." In AHFE 2023 Hawaii Edition. AHFE International, 2023. http://dx.doi.org/10.54941/ahfe1004283.

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Speech is a natural way of communication amongst humans and advancements in speech emotion recognition (SER) technology allow further improvement of human-computer interactions (HCI) with speech by understanding human emotions. SER systems are traditionally focused on categorizing emotions into discrete classes. However, discrete classes often overlook some subtleties between each emotion as they are prone to individual differences and cultures. In this study, we focused on the use of dimensional emotional values: valence, arousal, and dominance as outputs for an SER instead of the traditional
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Schmid, Ramona, Sophia Maria Saat, Knut Möller, and Verena Wagner-Hartl. "Induction method influence on emotion recognition based on psychophysiological parameters." In 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
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Fujii, Yuki, Keiichi Watanuki, Kazunori Kaede, and Yusuke Osawa. "Evaluation of UX using Biometric Emotion and Intensity Estimation Machine Learning Models." In 16th International Conference on Applied Human Factors and Ergonomics (AHFE 2025). AHFE International, 2025. https://doi.org/10.54941/ahfe1006063.

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In recent years, user experience (UX) has become an important evaluation criterion in the development of products and services, in addition to the traditional emphasis on functionality and price competitiveness. In addition to practical aspects such as usability and convenience, “emotional value,” which affects the user’s emotions and senses, is also considered an element of UX. Emotional value is the positive feeling that a product or service elicits in the user, resulting in increased satisfaction and purchasing behavior. Thus, emotion is an important component of UX, and based on the “emoti
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Informes sobre el tema "Emotion"

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

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Yücel Koç, Melike. Emotion Language and Emotion Narratives of Turkish-English Late Bilinguals. Portland State University Library, 2000. http://dx.doi.org/10.15760/etd.208.

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Kaya Yıldırım, İlkyaz, and Gülay Dirik. Targeting Emotion in the Perinatal Period: Protocol of a Systematic Review of Emotion-Focused and Emotion Regulation-Based Interventions. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2025. https://doi.org/10.37766/inplasy2025.5.0005.

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Shadel, Doug, Alicia Williams, Karla Pak, and Lona Choi-Allum. Emotion: Scammers Use Our Emotions Against Us – Infographic. Spotlight on Black Americans. AARP Research, 2021. http://dx.doi.org/10.26419/res.00484.006.

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

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Ingram, Keisha LaRaine, Dorsa Dorbahani, Anzhela Sargsyan, and Mannhas Kamble. Promotion of Luxurious Cosmetics Through Emotion Manipulation. Vilnius Business College, 2024. https://doi.org/10.57005/ab.2024.3.2.

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Considering the rising importance of emotions in influencing the purchase decisions of consumers, this research highlights emotions and the ways in which they impact the purchase behaviour. This is significant regarding information the marketers use to develop the strategies and practices for targeting consumer emotions, which ineffectively influence their purchase decisions for luxury cosmetics products. Indeed, this a challenge that marketers have faced in correctly aligning their marketing mix strategies to connect with these consumer groups. Conventional marketing strategies used to captur
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Mills, Carolyn. Synergism of substance and emotion. Portland State University Library, 2000. http://dx.doi.org/10.15760/etd.5339.

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Fernandez, Katya, and Cathleen Clerkin. The Stories We Tell: Why Cognitive Distortions Matter for Leaders. Center for Creative Leadership, 2021. http://dx.doi.org/10.35613/ccl.2021.2045.

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"This study explored whether leaders’ thought patterns (specifically cognitive distortions) and emotion regulation strategies (specifically cognitive reappraisal, cognitive defusion, and expressive suppression) relate to their work experiences. Findings suggest that leaders’ cognitive distortions are related to their work experiences and that emotion regulation strategies can help leaders mitigate the effects of cognitive distortions. More specifically, the results of this study offer the following insights: • Leaders’ cognitive distortions related to all examined workplace topics (role ambigu
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Ivanova, S. E. Verbalization emotion: age and gender differences. LJournal, 2016. http://dx.doi.org/10.18411/a-2017-001.

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Gratch, Jonathan, and Stacy Marsella. Evaluating a Computational Model of Emotion. Defense Technical Information Center, 2006. http://dx.doi.org/10.21236/ada459183.

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