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Full Description
In the rapidly evolving era of artificial intelligence (AI), the ways humans interact with AI systems have undergone fundamental transformation, giving rise to a new interdisciplinary field—Human-AI Interaction. This represents a paradigm shift beyond the traditional field of Human-Computer Interaction, demanding innovative approaches to address the unique challenges introduced by AI. This book, Human-Centered AI: Advancing Research and Applications in Human-AI Interaction, explores the latest theories, methods, and practices of Human-AI Interaction through the distinctive lens of Human-Centered AI (HCAI). As both a design philosophy and a methodological framework, HCAI places humans at the core of AI development by emphasizing human needs, values, ethics, controllability, capabilities, and experiences. Its goal is to ensure that AI systems empower and augment humans rather than replace or harm them. Positioning Human-AI Interaction within the broader HCAI paradigm, this book advances research and applications in human-AI interaction aimed at realizing HCAI's goals.
Across 27 chapters covering foundational concepts, technologies, research methods, design methods and standards, modeling, and real-world practice in Human-AI Interaction, this book demonstrates how AI can be seamlessly integrated with human needs to create intelligent, ethical, controllable, and user-friendly systems. Through detailed analysis and empirical studies, we aim to equip readers with theoretical frameworks and practical methodologies to create more human-centered AI solutions in an increasingly complex AI landscape. Whether you are a scholar, designer, or industry practitioner, this book will inspire you and enrich your knowledge, empowering you to advance the development of AI while better serving humanity.
Contents
Part I. Introduction.- Chapter 1. Human-Centered Human-AI Interaction (HC-HAII): A Human-Centered AI Perspective.- Part II. Conceptual Foundations.- Chapter 2. Computational Modeling of Human Cognition and Behavior.- Chapter 3. Human State Recognition in Human-AI Interaction.- Chapter 4. Data and Knowledge Dual-driven AI.- Chapter 5. AI-based Human Intelligence Enhancement.- Chapter 6. Human Factors in Human-AI Interaction.- Chapter 7. Meaningful Human Control in AI.- Part III. Human-AI Interaction Technology and Research.- Chapter 8. Brain-Computer Interface and Brain-Computer Fusion.- Chapter 9. Human-Centered Human-AI Collaboration (HCHAC).- Chapter 10. Multimodal Interaction with Wearable Computing Devices.- Chapter 11. Human-AI Interaction in the Metaverse and Virtual Reality.- Chapter 12. Human-AI Interaction in Assistive Technology.- Part IV. Human-AI Interaction in Computing.- Chapter 13. Human-centered Explainable AI.- Chapter 14. Human-centered Perceptual Computing.- Chapter 15. Designing Nudges and Trust: Toward Ethical and Human-Centered AI.- Chapter 16. Recommender Systems: A Human-centered AI Perspective.- Chapter 17. Social Computing: A Human-centered AI Perspective.- Part V. Human-AI Interaction Design.- Chapter 18. Human AI Interaction Design Standards.- Chapter 19. Interaction Models and Design Paradigms of Human-AI Interaction.- Chapter 20. Machine Behavior Design and Management.- Chapter 21. Human-centered Approach for AI-based Rehabilitation Technology and Accessibility Design.- Part VI. Human-AI Interaction in Practice.- Chapter 22. Human-centered Collaborative Automated Driving.- Chapter 23. Patient-centered Intelligent Healthcare.- Chapter 24. Child-centered AI-assisted Autism Diagnosis and Treatment.- Chapter 25. Human-centered Design of Educational Metaverses with Virtual-Real Fusion.- Chapter 26. Pilot-centered Intelligent Civil Aircraft Cockpit.- Chapter 27. Human-centered Intelligent Manufacturing.
