Explore the transformative world of Human-Centered Artificial Intelligence (HCAI) with the Handbook of Human-Centered Artificial Intelligence. This authoritative resource bridges cutting-edge AI technologies with core human-centered principles, such as human needs, values, controllability, and experiences, offering a holistic approach for designing, developing, deploying, and using AI systems that put humans first. Written by leading experts, the handbook serves as an indispensable reference for researchers, practitioners, and policymakers dedicated to creating AI solutions that are reliable, safe, controllable, usable, valuable, and trustworthy. It covers the foundational principles of HCAI, from core concepts, methodology, design and development strategies, risk management and governance, to real-world applications across diverse domains, demonstrating how AI can enhance human capabilities and improve the quality of work and life.
Empower your knowledge and be at the forefront of AI innovation, a future where AI benefits humans rather than harming or replacing them. This is your definitive guide to understanding and shaping the future of AI through a human-centered lens.
This handbook comprises ten sections, encompassing approximately sixty chapters in total. (Note: In the current living version, individual chapters are published in alphabetical order as they become available.)
· Overview, Concepts, and Foundations
· Human-AI interaction
· Human-centered AI design
· Human-centered AI in computing
· Human controllability over AI
· Human-centered AI risk management
· Human-centered AI governance
· Human-centered large language models
· Sectoral applications of human-centered AI
· Human-centered AI practice
Human-centered AI Concepts and approaches.- Human-AI interaction: Enabling HCAI.- Computational modeling of human cognition and behavior.- Human AI integrated hybrid intelligence.- Engineering psychology issues and methodologies.- Human state recognition in human-AI interaction.- Neuroergonomics approach to human-AI interaction.- Human performance modeling: Driving behavior in autonomous vehicles.- Theory of mind in human-AI interaction.- Embodied intelligence.
Dr. Wei Xu is Chief Scientist at HCAI Labs, California, USA, and an adjunct Professor in Human Factors/Human-Computer Interaction (HCI). He previously worked as a Senior Research Scientist and served as Principal Engineer in Human Factors/HCI at Intel (USA), where he also chaired the IT HCI Technical Committee, and as Senior Research Scientist at Boeing (USA). He was formerly an Assistant Professor in academia, where he focused on teaching and researching human factors and HCI. Dr. Xu earned his Ph.D. in Human Factors/HCI and M.S. in Computer Science, both from Miami University, USA, in 1997.An internationally recognized expert in human factors and HCI, Dr. Xu is an elected Fellow of the International Ergonomics Association (IEA), the Human Factors and Ergonomics Society (HFES), and the International Association for Psychological Science (APS). He serves as Senior Editor of
, Associate Editor of
. He also sits on the editorial boards of the
. He is a member of the International Organization for Standardization (ISO) Technical Committee on Human-System Interaction (TC159/SC4) and its Standards Drafting Working Group (TC159/SC4/WG6).
With over 35 years of experience spanning academia and leading roles at global IT and aviation companies, Dr. Xu has contributed extensively to research, design, development, and standards in human factors and HCI. His work has received numerous research and design awards and is in use across multiple aircraft models and computing systems. He has co-drafted over 20 human factors/HCI design standards for ISO, ANSI, Boeing, and Intel, and authored four books—
,
,
and
. His papers have been published in core journals of human factors, HCI, psychology, aviation, computer science, and AI.
Since 2018, Dr. Xu has focused on the emerging field of Human-Centered Artificial Intelligence (HCAI). As one of its pioneers, he proposed the early “technology–human factors-ethics (THE) triangle” HCAI framework (2019). He co-authored the influential paper titled “
(2022) with Professors Ben Shneiderman, Gavriel Salvendy, and 24 other scholars. In recent years, he has introduced multiple frameworks in the HCAI field, including Human-AI Joint Cognitive Systems (2021), Human-AI Joint Cognitive Ecosystems (2022), Intelligent Sociotechnical Systems (iSTS) (2022), the HCAI Methodological Framework (HCAI-MF) (2024), the Hierarchical HCAI (hHCAI) approach (2024), the “User Experience 3.0” paradigm framework for HCAI (2024), the HCAI Maturity Model (HCAI-MM) (2025), the human-centered human-AI collaboration (HC-HAC) framework (2025), the human-centered human-AI interaction (HC-HAII) approach (2025), the human-centered privacy (HCP) approach to AI (2025), and the human-centered artificial social intelligence (HC-ASI) framework (2025).Dr. Xu has played a key role in the development of several ISO human factors/HCI design standards, including two ISO standards for AI systems:
(ISO 9241-810) (2020) and
(ISO 9241-812) (2024).
