Relevant bibliographies by topics / Emotional Intelligence in Machines

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Emotional Intelligence in Machines'

Author: Grafiati
Published: 7 June 2025
Last updated: 2 August 2025

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Journal articles on the topic "Emotional Intelligence in Machines"

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Sharma, Capt Dr Shweta. "EMOTIONAL INTELLIGENCE AND ARTIFICIAL INTELLIGENCE:A COMPARATIVE ANALYSIS." International Journal of Engineering Science and Humanities 14, Special Issue 1 (2024): 112–17. http://dx.doi.org/10.62904/vmzgpv87.

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"Your body has a mind of its own of which your mind has no knowledge" John H. Pflaum, Delightism, 1972 (Prentice Hall) The term emotional intelligence was first used in 1985 by Wayne Payne. In 1930 the psychologist Edward Thorndike used the concept of social intelligence, that means the ability of individuals to get familiar with society. Emotional Intelligence also known as EI, is the state of being able to recognize and act upon behavioral traits of oneself as well as others. The first purpose is to recognize, understand and manage ones own emotions. The second purpose is to recognize, under
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Pragya, Singh Tomar* &. Brahma Datta Shukla. "ARTIFICIAL INTELLIGENCE EDUCATION: EMOTIONAL COMPUTATION." INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY 7, no. 7 (2018): 306–10. https://doi.org/10.5281/zenodo.5149962.

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Following decades of research into artificial intelligence, several researchers are now attempting to build emotionally intelligent machines. The capacity of a computer to "think or behave humanly or rationally" is the traditional concept of artificial intelligence (Russell, 1995). The drive for emotionally intelligent machines is an exciting development in this area, moving us closer to machines that genuinely "act human." I will include a survey of topics and tools for teaching emotional computation in artificial intelligence courses in this post. This subject field, I wi
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Agrawal, Raj, and Nakul Pandey. "Developing Rapport between Humans and Machines: Emotionally Intelligent AI Assistants." International Journal for Research in Applied Science and Engineering Technology 12, no. 3 (2024): 1473–80. http://dx.doi.org/10.22214/ijraset.2024.59015.

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Abstract: A new area of research that has the potential to completely transform human-computer interaction is the incorporation of emotional intelligence into artificial intelligence (AI) systems. Through the use of sentiment analysis, facial recognition, and voice tone analysis, AI assistants are now able to recognize and comprehend human emotions, allowing them to respond to users with greater emotional nuance and empathy [1] [2]. This opens up new avenues for therapeutic mental health interventions, emotionally supportive dialogues, and improved customer service encounters [3].
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Franzoni, Valentina, Alfredo Milani, Daniele Nardi, and Jordi Vallverdú. "Emotional machines: The next revolution." Web Intelligence 17, no. 1 (2019): 1–7. http://dx.doi.org/10.3233/web-190395.

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Rehman, Muzzamil, Dr Babli Dhiman, and Gagandeep Singh Cheema. "Minds and Machines: Impact of Emotional Intelligence on Investment Decisions with Mediating the Role of Artificial Intelligence." International Journal of Engineering, Business and Management 8, no. 1 (2024): 01–10. http://dx.doi.org/10.22161/ijebm.8.1.1.

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In the evolving landscape of financial decision-making, this study delves into the intricate relationships among Emotional Intelligence (EI), Artificial Intelligence (AI), and Investment Decisions (ID). By scrutinizing the direct influence of human emotional intelligence on investment choices and elucidating the mediating role of AI in this process, our research seeks to unravel the complex interplay between minds and machines. Through empirical analysis, we reveal that EI not only directly impacts ID but also exerts its influence indirectly through AI-mediated pathways. The findings underscor
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Talanov, Max, and Alexander Toschev. "Appraisal, Coping and High Level Emotions Aspects of Computational Emotional Thinking." International Journal of Synthetic Emotions 6, no. 1 (2015): 24–39. http://dx.doi.org/10.4018/ijse.2015010102.

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Turing genius anticipated current research in AI field for 65 years and stated that idea of intelligent machines “cannot be wholly ignored, because the idea of 'intelligence' is itself emotional rather than mathematical” (). This is the second article dedicated to emotional thinking bases. In the first article, the authors () created overall picture and proposed framework for computational emotional thinking. They used 3 bases for their work: AI - six thinking levels model described in book “The emotion machine” (). Evolutionary psychology model: “Wheel of emotions” (). Neuroscience (neurotran
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Barbosa, Evandro, and Thais Alves Costa. "The heart of an AI." Filosofia Unisinos 25, no. 1 (2024): 1–16. http://dx.doi.org/10.4013/fsu.2024.251.11.

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The article presents an analysis centered on the emotional lapses of artificial intelligence (AI) and the influence of these lapses on two critical aspects. Firstly, the article explores the ontological impact of emotional lapses, elucidating how they hinder AI’s capacity to develop a moral sense. The absence of a moral emotion, such as sympathy, creates a barrier for machines to grasp and ethically respond to specific situations. This raises fundamental questions about machines’ ability to act as moral agents in the same manner as human beings. Additionally, the article sheds light on the pra
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OUAZZANI, TOUHAMI Imane, and Hassan AZOUAOUI. "Emotional Intelligence or Artificial Intelligence for salespeople: An exploratory study among sales managers." African Scientific Journal Vol 3, N° 12 (2022): 477. https://doi.org/10.5281/zenodo.6907157.

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<strong>Abstract </strong> Artificial intelligence is one of the most powerful technologies that the world has ever seen. Many salespeople fear being replaced by robots even if they have developed soft skills like emotional intelligence. Through this study, we try to understand if artificial intelligence will replace emotional intelligence which is considered an essential skill for salespeople. To do so, we conducted a qualitative approach using a semi-structured interview with 10 sales managers who work in the different B2B sectors. To analyze our data, we use thematic analysis and content an
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Ruchi Gaur, Karan Jain, Sunakshi Shokeen, Ankur Sachan, and Komal Gahletia. "Can Robots Be Smarter than Human Beings?" International Research Journal on Advanced Engineering Hub (IRJAEH) 2, no. 03 (2024): 387–94. http://dx.doi.org/10.47392/irjaeh.2024.0057.

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The rapid advancements in artificial intelligence (AI) and robotics have fuelled speculation about the possibility of machines surpassing human intelligence. This abstract explores the question of whether robots can become smarter than human beings. By analyzing the capabilities of contemporary AI technologies and understanding the fundamental characteristics of human intelligence, we assess the potential for machines to outpace human cognitive abilities. To address this question, we examine the current state of AI development, including machine learning, deep learning, and neural networks. We
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Aditya, Kumar Patel. "AGI and Human Cognition: Can Machines Truly Understand Emotion." Journal of Research and Innovation in Technology, Commerce and Management Vol. 2, Issue 6 (2025): 2639–47. https://doi.org/10.5281/zenodo.15591571.

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Artificial General Intelligence (AGI) stands at the cutting edge of technological advancement, seeking to not only mimic human logical reasoning but also the entire range of cognitive abilities&mdash; particularly emotion. Though affective computing has made machines capable of sensing emotions, understanding is still a challenge that needs to be cracked. This paper explores the wide gap between recognizing emotions and emotional understanding, reviewing models from cognitive science, AI, neuroscience, and psychology. Comparing neural-symbolic systems, contextual feedback models, and emotional
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Dissertations / Theses on the topic "Emotional Intelligence in Machines"

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SHARMA, MANISH. "EMOTIONAL INTELLIGENCE DRIVEN QUALITATIVE MARKET RESEARCH TECHNIQUES: AN EXPLORATORY STUDY." Thesis, DELHI TECHNOLOGICAL UNIVERSITY, 2021. http://dspace.dtu.ac.in:8080/jspui/handle/repository/18686.

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Intelligence is what differentiates human from other living organisms on this planet. Intelligence has been defined in various ways at different times by different disciplines. Intelligence is what makes us think and do things which others cannot. Intelligence evolved over the decades, although it has been that was around always, but the definition changed with time and types emerged. Emotional intelligence (EI) must have been in humans forever but was not being talked about so much until 25 years ago. It has gained much popularity in the last 25 years. After a few years of Emotional In
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Yang, Marcia. "In the Mind of the Machine." Scholarship @ Claremont, 2018. http://scholarship.claremont.edu/cmc_theses/1962.

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As technology becomes more sophisticated, it becomes increasingly important to understand how we should ethically use technology. One question within this area of study is whether we should treat certain types of technology, like artificial intelligence, with more respect. If we do owe these machines some sort of moral status, another question is what level of moral status they have. In order to answer these questions, I argue that machines can be considered as minds under the view of machine functionalism. A significant problem for machine functionalism is whether it can account for emotions
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D'Ortona, Lorraine. "Ms. Pacrat : a feeling, thinking machine /." Online version of thesis, 1991. http://hdl.handle.net/1850/10997.

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Gardner, Kathryn Jane. "Ability emotional intelligence, trait emotional intelligence and borderline personality disorder." Thesis, University of Central Lancashire, 2008. http://clok.uclan.ac.uk/21832/.

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This thesis explored convergent, discriminant, concurrent and incremental validity of four Emotional Intelligence (EI) measures examined were one ability EI measure (Mayer-Salovey-Caruso Emotional Intelligence Test [MSCEIT]); and three self-report/trait EI measures (Schutte Emotional Intelligence Scale [SEIS], Multidimensional Emotional Intelligence Assessment [MEIA] and Trait Emotional Intelligence Questionnaire [TEIQue]). Participants (N = 307) were drawn predominantly from community and student populations. The MSCEIT showed reasonably good validity, although there were only small amounts o
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Warwick, JanetteKaye. "Emotional intelligence is ...? /." Title page, table of contents and abstract only, 2001. http://web4.library.adelaide.edu.au/theses/09SSPS/09sspsw299.pdf.

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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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Angelica, Lim. "MEI: Multimodal Emotional Intelligence." 京都大学 (Kyoto University), 2014. http://hdl.handle.net/2433/188869.

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Walker, Alison. "Emotional intelligence in adolescents." Thesis, University of Birmingham, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.435323.

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Golubenko, Juliana. "Emotional intelligence among leaders /." Title page, table of contents and abstract only, 2003. http://web4.library.adelaide.edu.au/theses/09SPS/09spsg629.pdf.

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Krebs, Peter R. History &amp Philosophy of Science UNSW. "Turing machines, computers and artificial intelligence." Awarded by:University of New South Wales. History & Philosophy of Science, 2002. http://handle.unsw.edu.au/1959.4/19053.

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This work investigates some of the issues and consequences for the field of artificial intelligence and cognitive science, which are related to the perceived limits of computation with current digital equipment. The Church -Turing thesis and the specific properties of Turing machines are examined and some of the philosophical 'in principle' objections, such as the application of G??del's incompleteness theorem, are discussed. It is argued that the misinterpretation of the Church-Turing thesis has led to unfounded assumptions about the limitations of computing machines in general. Modern digita
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Books on the topic "Emotional Intelligence in Machines"

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Misselhorn, Catrin, Tom Poljanšek, Tobias Störzinger, and Maike Klein, eds. Emotional Machines. Springer Fachmedien Wiesbaden, 2023. http://dx.doi.org/10.1007/978-3-658-37641-3.

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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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Chakraborty, Aruna, and Amit Konar. Emotional Intelligence. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-68609-5.

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Lo, Kevin D., and Barbara A. Ritter. Emotional Intelligence. SAGE Publications, Inc., 2023. http://dx.doi.org/10.4135/9781071923702.

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Huang, Xiaohua, and Qirong Mao, eds. Emotional Intelligence. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-5084-2.

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Parker, James D. A., Donald H. Saklofske, and Con Stough, eds. Assessing Emotional Intelligence. Springer US, 2009. http://dx.doi.org/10.1007/978-0-387-88370-0.

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Sparrow, Tim. Applied Emotional Intelligence. John Wiley & Sons, Ltd., 2009.

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Matkowsky, Morris. Computation of Emotions in Machines : Toward Machines with Emotional Intelligence: Ai Technology. Independently Published, 2021.

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Mekhala, R. S. Emotional Intelligence Matters: A Machine-Generated Literature Overview. Palgrave Macmillan, 2024.

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Kumar, Nitendra, Surya Kant Pal, and Priyanka Agarwal. Human-Machine Collaboration and Emotional Intelligence in Industry 5. 0. IGI Global, 2024.

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Book chapters on the topic "Emotional Intelligence in Machines"

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Cañamero, Lola. "When Emotional Machines Are Intelligent Machines: Exploring the Tangled Knot of Affective Cognition with Robots." In Emotional Machines. Springer Fachmedien Wiesbaden, 2023. http://dx.doi.org/10.1007/978-3-658-37641-3_6.

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WU, Siegfried Zhiqiang. "Emerging Next-Generation AI Techniques." In The Urban Book Series. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-2560-4_15.

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Abstract This chapter delves into the application of next-generation AI technologies in smart city design, with a particular focus on advances in intelligence, emotional intelligence, and aesthetic intelligence. Intelligence creation fosters innovation in urban design by leveraging machine learning to support human creativity and enhance intelligent design through the integration of physical and digital analog technologies. Emotional intelligence emphasizes the emotional dimension of city life, utilizing AI to perceive citizen emotions and establish feedback mechanisms that provide more person
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C. Firmino De Souza, Debora, Pia Tikka, and Ighoyota Ben Ajenaghughrure. "Seeking Emotion Labels for Bodily Reactions: An Experimental Study in Simulated Interviews." In Digital Interaction and Machine Intelligence. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-37649-8_13.

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AbstractComputers rely on different methods and approaches to assess human affective information. Nevertheless, theoretically and methodologically, emotion is a challenging topic to address in Human-Computer Interaction. Exploring methods for assessing physiological responses to emotional experience and for aiding the emotion recognition features of Intelligent Virtual Agents (IVAs), this study developed an interface prototype for emotion elicitation and simultaneous acquisition of the user’s physiological and self-reported emotional data. Supplementary, the study ventures to combine such data
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Kubota, Naoyuki, and Shiho Wakisaka. "Emotional Model Based on Computational Intelligence for Partner Robots." In Modeling Machine Emotions for Realizing Intelligence. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-12604-8_5.

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Maples, Bethanie, Roy D. Pea, and David Markowitz. "Learning from Intelligent Social Agents as Social and Intellectual Mirrors." In AI in Learning: Designing the Future. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-09687-7_5.

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AbstractThe interaction capabilities of Intelligent Social Agents, made possible by advances in artificial intelligence, are eliciting deep emotional bonding with users, leading researchers to reexamine the impact and potential uses of these human-machine relationships in education. In this work, we examine how one best-in-class ISA, Replika, might be affecting users socially, emotionally, and cognitively. Our results indicate that many use Replika as a social and cognitive mirror, facilitating their learning and development this way. The confluence of new functionality, product narrative, and
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Morais-Quilez, Igone, Manuel Graña, and Javier de Lope. "Machine Learning for Personality Type Classification on Textual Data." In Artificial Intelligence for Neuroscience and Emotional Systems. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-61140-7_26.

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Kiselev, Andrey, Benjamin Alexander Hacker, Thomas Wankerl, Yashimasa Ohmoto, Niyaz Abdikeev, and Toyoaki Nishida. "Integrating the Emotional Intelligence into the Virtual Technical Support Engineer." In Modeling Machine Emotions for Realizing Intelligence. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-12604-8_8.

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Sistaninezhad, Masoud, Ali Jafarizadeh, Saman Rajebi, Siamak Pedrammehr, Roohallah Alizadehsani, and Juan M. Gorriz. "Morning Anxiety Detection Through Smartphone-Based Photoplethysmography Signals Analysis Using Machine Learning Methods." In Artificial Intelligence for Neuroscience and Emotional Systems. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-61140-7_1.

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Breda, Pamela. "Unit 5 Additional Lecture: Blurred Lives—Cognition and Feelings in Human–AI Interactions." In Neuroaesthetics. Springer International Publishing, 2024. http://dx.doi.org/10.1007/978-3-031-42323-9_16.

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AbstractArtificial intelligence, also known as AI, is the ability of a program to think, store information, perform human tasks, and learn from experience. The domain of artificial intelligence has significantly evolved over the past decades, founding applications in almost every field of individual and collective lives. Computer systems able to perform tasks normally requiring human intelligence, such as visual perception, speech recognition, decision-making, and translation between languages, are now informing our daily routine. The constant improvement of this technology has recently taken
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Roshanzamir, Mohamad, Roohallah Alizadehsani, Seyed Vahid Moravvej, Javad Hassannataj Joloudari, Hamid Alinejad-Rokny, and Juan M. Gorriz. "Enhancing Interpretability in Machine Learning: A Focus on Genetic Network Programming, Its Variants, and Applications." In Artificial Intelligence for Neuroscience and Emotional Systems. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-61140-7_10.

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Conference papers on the topic "Emotional Intelligence in Machines"

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Tanabayeva, Anar, Alina Urazova, and Adiya Kosseit. "ARTIFICIAL INTELLIGENCE AND ART." In 11th SWS International Scientific Conferences on SOCIAL SCIENCES - ISCSS 2024. SGEM WORLD SCIENCE, 2024. https://doi.org/10.35603/sws.iscss.2024/vs16/93.

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Artificial Intelligence (AI) has changed paradigms of creativity and art, raising questions about the capacity of machines to create works that evoke emotional response and possess originality. This article explores whether AI systems can create �real� art and what this means in terms of philosophy, aesthetics and cultural norms. Examples of AI art such as �Theatre D�opera Spatial� and �Portrait of Edmond de Belamy� are analyzed to assess their emotional and artistic value. The question of originality of AI art is discussed through the lens of copyright, imitation theory and cultural perceptio
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Cao, Yaru, Hongzhi Yu, and Fucheng Wan. "Enhancing Emotional Support Conversation System via Integrating Mental State-Strategy Reasoning." In 2024 6th International Conference on Machine Learning, Big Data and Business Intelligence (MLBDBI). IEEE, 2024. https://doi.org/10.1109/mlbdbi63974.2024.10823858.

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Baniya, Achal, Angelina George, Alphonsa Jose, and Supriya M. "EquiMood: Elevating Emotional Wellness for College Students Through the Power of Machine Learning." In 2025 International Conference on Multi-Agent Systems for Collaborative Intelligence (ICMSCI). IEEE, 2025. https://doi.org/10.1109/icmsci62561.2025.10894479.

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Jain, Eshika, and Abhinav Rathour. "Understanding Mental Health through Sentiment Analysis: using Machine Learning to Analyze Social Media for Emotional Insights." In 2024 5th International Conference on Data Intelligence and Cognitive Informatics (ICDICI). IEEE, 2024. https://doi.org/10.1109/icdici62993.2024.10810855.

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Cruz, Meenalosini Vimal, Sri Shakthi Sarath Chintapalli, Yogya Bansal, G. Usha, and Felix Hamza Lup. "Advancements and Challenges in Emotional Analysis Using Machine Learning: A Comprehensive Review of Facial Expression Recognition Models." In 2025 6th International Conference on Artificial Intelligence, Robotics and Control (AIRC). IEEE, 2025. https://doi.org/10.1109/airc64931.2025.11077553.

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Jain, Ishan, Maitri Jain, Preet Sadhwani, Satvik Gupta, and Shruti Sharma. "Facial Emotion Recognition Through Artificial Intelligence and Machine Learning." In 2024 International Conference on Intelligent Computing and Sustainable Innovations in Technology (IC-SIT). IEEE, 2024. https://doi.org/10.1109/ic-sit63503.2024.10862210.

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Varma, Sandeep, Shivam Shivam, Sarun Natarajan, Biswarup Ray, Bagesh Kumar, and Om Dabral. "Talk to Your Brain: Artificial Personalized Intelligence for Emotionally Adaptive AI Interactions." In 2024 IEEE International Conference on Computer Vision and Machine Intelligence (CVMI). IEEE, 2024. https://doi.org/10.1109/cvmi61877.2024.10781964.

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Ajitha, S., Geetanjali R, and Thushar Thimmaiah NK. "Speech Emotion Recognition using Machine Learning." In 2025 International Conference on Artificial Intelligence and Data Engineering (AIDE). IEEE, 2025. https://doi.org/10.1109/aide64228.2025.10987354.

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Ghule, Vasudha, Shweta Dewasthale, Sangeeta Singh, and S. K. Moon. "Emotion Recognition in Autistic Individual." In 2024 Intelligent Systems and Machine Learning Conference (ISML). IEEE, 2024. https://doi.org/10.1109/isml60050.2024.11007368.

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Gonsher, Ian, Joshua Phelps, Shiyu Yan, and Xiaoxi Yang. "Bimodal Affective Computing Interfaces for Emerging Artificial Intelligence Paradigms." In 15th International Conference on Applied Human Factors and Ergonomics (AHFE 2024). AHFE International, 2024. http://dx.doi.org/10.54941/ahfe1005363.

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For nearly 30 years, Affective Computing has described a paradigm for human-computer interaction where machines are designed to respond to human affect. With recent acceleration in the development of artificial intelligence, the possibility of conscious machines with their own experiences and emotions is emerging. This is an opportune moment for engineers and designers to speculate and consider how affective computing paradigms might be expanded to also include machine affect and an emotional capacity of AI. We explore these themes through the development of a prototype that introduces human u
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Reports on the topic "Emotional Intelligence in Machines"

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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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Fang, Chen. Unsettled Issues in Vehicle Autonomy, Artificial Intelligence, and Human-Machine Interaction. SAE International, 2021. http://dx.doi.org/10.4271/epr2021010.

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Artificial intelligence (AI)-based solutions are slowly making their way into our daily lives, integrating with our processes to enhance our lifestyles. This is major a technological component regarding the development of autonomous vehicles (AVs). However, as of today, no existing, consumer ready AV design has reached SAE Level 5 automation or fully integrates with the driver. Unsettled Issues in Vehicle Autonomy, AI and Human-Machine Interaction discusses vital issues related to AV interface design, diving into speech interaction, emotion detection and regulation, and driver trust. For each
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Montenegro, Aura Daniela, Boryi Alexander Becerra, José Pino-Ortega, Víctor Hernández Beltrán, and José Martin Gamonales. Influence of Emotional Intelligence on Sports Performance: a Systematic Review. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2024. http://dx.doi.org/10.37766/inplasy2024.8.0001.

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Pasupuleti, Murali Krishna. Empathetic AI in Action: Transforming Customer Service with Emotional Intelligence. National Education Services, 2025. https://doi.org/10.62311/nesx/rr725.

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Abstract: This article explores the transformative impact of Emotionally Intelligent AI on customer service, focusing on how AI systems are designed to understand and respond to human emotions with empathy and precision. It delves into the core technologies, such as sentiment analysis, emotion recognition models, and reinforcement learning, that enable AI to provide emotionally aware interactions. Practical applications are discussed, including AI-powered customer support, personalized experiences, and crisis management solutions. The Article also covers the psychological foundations of AI-dri
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10

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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