Intelligent Systems for Neurocognition and Human-Robot-Computer Interaction
- 1st Edition - November 6, 2025
- Latest edition
- Editors: Shubham Mahajan, Divneet Singh Kapoor, Kiran Jot Singh
- Language: English
Intelligent Systems for Neurocognition and Human-Robot-Computer Interaction explores the transformative potential of intelligent systems in enhancing human well-being throug… Read more
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Description
Description
Key features
Key features
- Explores how intelligent systems enhance human well-being through neurocognitive technologies, robotics, and AI-driven healthcare
- Provides real-world case studies and applications demonstrating how intelligent systems are deployed in healthcare, rehabilitation, and personal well-being
- Addresses ethical concerns and governance frameworks for the responsible development and deployment of AI and robotics in healthcare
Readership
Readership
Table of contents
Table of contents
2. The Happiness Formula: Integrating Purpose, Spirituality, and Relationships, with Neurocognitive Well-being
3. Human-Computer Interaction for Cognitive, Emotional, and Learning Well-being
4. Human-Robot Interaction (HRI) for Well-Being and Social Robotics
5. Empowering Learning: How AI Drives Innovation, Enhances Deep Learning, and Elevates Student Wellbeing
6. AI-Based Intelligent System in Education: Enhancing Wellbeing and Learning
7. Data-Driven Education: Leveraging Big Data, AI and Machine Learning for Smarter Learning Environments
8. AI in Education: Transforming Learning and Enhancing Student Well-Being
9. AI-Driven Chatbots: Personalization and EHR Integration in Patient-Doctor Communication as Underexplored Frontiers
10. AI in Action: Decrypting Autism Spectrum Disorders Using Artificial Intelligence and Machine Learning through Pattern Study
11. AI In Medicine: Crafting Robust Algorithms For Better Patient Outcomes
12. AI-Driven Precision Prevention and Prediction: A Roadmap for Transformative Healthcare for wellbeing
13. Enhancing Human Well-Being through Predictive Healthcare Systems: Advanced AI-ML Techniques for Accurate Forecasting and Management of Pollen Outbreaks
14. Embedded System Integration for Adaptive Human-Computer Interaction
15. Revolutionizing Industries: A Case Study on Virtual and Augmented Reality in Healthcare, Education, and Social Robotics
16. Beyond the Screen: VR/AR Applications in Healthcare, Education, and Social Robotics
17. Towards Emotionally Intelligent Interfaces: An HCI Approach to Cognitive and Learning Support
18. Human-Robot Interaction (HRI) and Social Robotics in Industry 5.0: Drivers, Barriers, and Implications for Sustainable Development
19. The Dangers of AI Friendship: Adolescent Mental Health and Ethical Oversight
Product details
Product details
- Edition: 1
- Latest edition
- Published: November 7, 2025
- Language: English
About the editors
About the editors
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Shubham Mahajan
Dr. Shubham Mahajan is an academic and researcher, member of IEEE, ACM, and IAENG. He earned a B.Tech from Baba Ghulam Shah Badshah University, an M.Tech from Chandigarh University, and a PhD from Shri Mata Vaishno Devi University. He is currently Assistant Professor at Amity University, Haryana. His research spans artificial intelligence and image processing, including video compression, image segmentation, fuzzy entropy, nature-inspired optimization, data mining, machine learning, robotics, and optical communications. He holds patents internationally and has published widely in high-impact venues; he has edited several Scopus-indexed books. He has received multiple awards for research excellence and travel support from IEEE, among others. He has served as IEEE Campus Ambassador at premier institutes and promotes international collaborations. He participates in technical program committees and editorial boards for conferences and journals, shaping discourse in AI and image processing.
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Divneet Singh Kapoor
Divneet Singh Kapoor is currently an Associate Professor and Associate Dean (Academic Affairs) at Chandigarh University, Mohali, India. He has done PhD in the domain of signal processing and wireless communication. He has filed multiple patents with the Indian patent office and has been granted several, showcasing his innovative contributions to the field. His research interests span embedded systems, Internet of Things (IoT), robotics, and affective computing.
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Kiran Jot Singh
Kiran Jot Singh is currently an Associate Professor and Associate Dean (Academic Affairs) at Chandigarh University, Mohali, India. He has done PhD in the domain of Human Robot Interaction. He has also filed 12 patents with the Indian patent office. He is working on various funded projects, and his research interests include human robot/computer interaction, bio feedback and happiness studies through technology.