Intelligent Systems for Neurocognition and Human-Robot-Computer Interaction

Erscheinungsjahr 2025
ISBN: 978-0-443-41660-6
Verlag: Elsevier Science Publishing Co Inc

Buch, Englisch, 490 Seiten, Format (B × H): 192 mm x 233 mm, Gewicht: 1000 g

Intelligent Systems for Neurocognition and Human-Robot-Computer Interaction explores the transformative potential of intelligent systems in enhancing human well-being through advancements in neurocognitive technologies, robotics, and AI-driven healthcare. This book addresses the fragmented knowledge at the intersection of these fields, enabling readers to understand the latest advancements and discover practical strategies for implementation. It highlights the importance of ethical considerations and governance in deploying AI and robotics in healthcare settings. Each chapter covers various aspects, including personalized medicine, human-robot interaction, cognitive robotics, wearable technologies, and the role of AI in mental health. The book also discusses the implications of cloud computing, big data, and human-computer interaction in enhancing cognitive and emotional well-being.

Autoren/Hrsg.

Mahajan, Shubham

Kapoor, Divneet Singh

Singh, Kiran Jot

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Technische Wissenschaften Verfahrenstechnik | Chemieingenieurwesen | Biotechnologie Biotechnologie
• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Medizintechnik, Biomedizintechnik, Medizinische Werkstoffe
• Technische Wissenschaften Sonstige Technologien | Angewandte Technik Medizintechnik, Biomedizintechnik

Inhaltsverzeichnis

1. The Role of Natural Green Spaces in Enhancing Neurocognition
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

Über Autor(innen)

Kapoor, Divneet Singh
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.

Mahajan, Shubham
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.

Singh, Kiran Jot
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.