Emotional Artificial Intelligence
Practical Challenges and Applications
- 1st Edition - August 3, 2026
- Latest edition
- Editors: Rajesh Kumar Dhanaraj, S. Aanjankumar, Malathy Sathyamoorthy, S. Poonkuntran, Monoj Kumar Muchahari
- Language: English
Emotional Artificial Intelligence: Practical Challenges and Applications explores the intersection of artificial intelligence and human emotions, challenging the myth that AI wil… Read more
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Description
Description
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.
Key features
Key features
- Provides a thorough examination of emotional AI, integrating foundational theories and methodologies to help readers understand human emotions in the context of artificial intelligence
- Showcases practical applications of emotional AI across various fields, including healthcare and transportation, demonstrating how these technologies improve daily interactions and outcomes
- Addresses the ethical implications of deploying emotional AI
- Offers a forward-looking perspective on emerging trends, equipping readers with insights to navigate the evolving landscape of human-centered artificial intelligence
Readership
Readership
Table of contents
Table of contents
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
Product details
Product details
- Edition: 1
- Latest edition
- Published: August 3, 2026
- Language: English
About the editors
About the editors
RD
Rajesh Kumar Dhanaraj
SA
S. Aanjankumar
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.
MS
Malathy Sathyamoorthy
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.
SP
S. Poonkuntran
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.
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