Emotional Artificial Intelligence

Practical Challenges and Applications
Erscheinungsjahr 2026
ISBN: 978-0-443-44744-0
Verlag: Elsevier Science

Buch, Englisch, 330 Seiten, Format (B × H): 191 mm x 235 mm, Gewicht: 449 g

Emotional Artificial Intelligence: Practical Challenges and Applications explores the intersection of artificial intelligence and human emotions, challenging the myth that AI will replace humans. Instead, it emphasizes how emotional AI can enhance collaboration, improving efficiency across fields like healthcare, transportation, and space exploration. The book explores foundational theories such as Goleman’s emotional model and Ekman’s emotion theory, discussing methodologies for understanding human emotions through natural language processing and the ethical implications of AI in decision-making. It showcases real-world applications, from virtual nurses to emotion-aware driving systems, illustrating how these technologies can improve daily interactions and outcomes.

This essential resource equips researchers, practitioners, and policymakers with practical insights for integrating emotional AI into diverse domains. By addressing the complexities of human emotion recognition and ethical frameworks, it provides a forward-looking perspective on enhancing collaboration between humans and AI, ultimately driving improved productivity and efficiency.

Autoren/Hrsg.

Dhanaraj, Rajesh Kumar

Aanjankumar, S.

Sathyamoorthy, Malathy

Poonkuntran, S.

Muchahari, Monoj Kumar

Fachgebiete

• Sozialwissenschaften Psychologie Allgemeine Psychologie Biologische Psychologie, Neuropsychologie
• Interdisziplinäres Wissenschaften Wissenschaften Interdisziplinär Neurowissenschaften, Kognitionswissenschaft

Inhaltsverzeichnis

1. Overview of Emotional Intelligence in AI: Practical Challenges and Applications
2. Human Intelligence Vs Artificial Emotional Intelligence: Exploring Scope and Limitations
3. Recent Advancements and Techniques in Natural Language Processing and Emotion-Based Decision Making in AI
4. Exploring Emotions and Sentiment Analysis in AI: An Evolutionary Algorithm-Based Perspective
5. Fully Automated Vs Semi-Automated Transportation Systems: A Comparative Study on Collaborative Models
6. Integration of Data Analytics and Machine Learning: An Evolution of Emotional AI
7. Ethical and Legal Standards, Policies and Regulations in Emotional AI: Myths and Realities
8. Unleashing the Potential of AI with Human Doctors: Role of Patient Diagnosis with Ensemble Models
9. Generative Adversarial Networks (GAN) in AI: A New Paradigm of Exploring Human Space
10. Uncertainty Handling Using AI with Humans for Language Models: Designing Text Models for the Specially Challenged
11. Case Study on Emotional AI in Travel Management: Predictions and Suggestions
12. Case Study on Emotional Intelligence in Online Shopping Based on Reviews and Feedback Mechanisms
13. Case Study on Gesture-Based Emotion AI in Blood Pressure Detection: Revolution in Healthcare Sectors
14. Case Study on Emotional AI in Waste Management in Smart Cities
15. Case Study on Ads Posting in Social Media Based on Emotional AI: An Individual-Centric Perspective

Über Autor(innen)

Dhanaraj, Rajesh Kumar
Dr. Rajesh Kumar Dhanaraj is a professor at the Symbiosis International (Deemed University) in Pune, India. His research and publication interests include cyber-physical systems, wireless sensor networks, and cloud computing. He is a senior member of the Institute of Electrical and Electronics Engineers (IEEE), a member of the Computer Science Teacher Association (CSTA) and member of the International Association of Engineers (IAENG). He is an expert advisory panel member of Texas Instruments Inc. (USA), and an associate editor of International Journal of Pervasive Computing and Communications (Emerald Publishing).

Aanjankumar, S.
Is an Assistant professor in the School of Computing Science and Engineering, VIT Bhopal University, Bhopal, Madhya Pradesh, India. He received his doctorate from Anna University in the topic of botnet security and an M.E. in software engineering from Anna University. He has academic experience spanning 11 years and has worked at various levels up to Associate Professor, UG-HoD. He has dozens of publications in peer-reviewed international and national journals with high impact factors and several publications in various international conferences held in India and abroad. He is also a reviewer for SCI journals, and he has 4 SCI journal publications with an impact factor above 3, 10 Scopus-indexed publications and 1 Indian patent and 1 UK Design Patent that he has authored and published. His main areas of research include software engineering, cyber forensics, network security, and human-computer interaction.

Poonkuntran, S.
Holds a BE degree in Information Technology from Bharathidasan University, an MTech, and a PhD in Computer and Information Technology from Manonmaniam Sundaranar University. Currently, he serves as Professor and Dean of the School of Computing Science and Engineering at VIT Bhopal University, India. With over a decade of teaching and research experience, he has successfully executed three funded research projects totaling ?1.10 Crores from organizations such as the Indian Space Research Organization and the Ministry of New and Renewable Energy. He has received seminar grants totaling ?4 Lacs from Anna University and the All-India Council for Technical Education. He has published over 90 technical papers, authored 8 books, and holds 5 patents. He received the Cognizant Best Faculty Award in 2017-18 and is a lifetime member of several professional organizations. His research interests include information security, computer vision, artificial intelligence, and machine learning.
Regenerate response

Muchahari, Monoj Kumar
He has over 10 years of experience in both teaching and industry. His research interests include cloud computing, trust management, AI and machine learning. He has published several journal articles, conference papers and authored various book chapters in these areas. He has also served as a reviewer for many reputable journals. He has organized various webinars and training programs on emerging technologies. He also has been invited for talks and to chair conference sessions

Sathyamoorthy, Malathy
Dr. Malathy holds a PhD in Information and Communication Engineering from Anna University, Chennai, India. Her research areas include wireless sensor networks, Internet of Things, and applied machine learning. She is a life member of the Indian Society for Technical Education (ISTE) and the International Association of Engineers (IAENG). She is an active author/editor for Springer, CRC Press, and Elsevier. She is also a reviewer for Wireless Networks (Springer) and on the editorial board at many international conferences.