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Publisher:   Elsevier Science & Technology
Imprint:   Academic Press Inc
Weight:   0.450kg
ISBN:  

9780323856485

ISBN 10:   0323856489
Pages:   312
Publication Date:   18 May 2022
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand  
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Table of Contents

PART I: Explainable AI 1. Are AI models Explainable, Interpretable, and Understandable? 2. Explanation Using Interpretable Models 3. Explanation Using Model-Agnostic Methods 4. Explanation Using Examples 5. Explanation of Ensemble Models 6. Explanation of Deep Learning Models PART II: User-Centered AI Design and Development Process 7. User-centered explanation interfaces for effective communication between users and AI-based systems 8. Mind perception of human-centered AI: Effects of unfavorable social conditions on user experience of AI 9. Designing user interfaces for AI-based decision support systems PART III: Applications in Human-AI Interaction 11. Review on recent AI/ML studies about manufacturing systems 12. AI in BCI 13. AI in Human-Robot Interaction 14. AI in Healthcare 15. AI in Decision Making 16. TBD PART IV: Ethics, Privacy and Policy in Human-AI Interaction 17. Ethics of AI in academic and public discourse 18. Designing explainable artificial intelligence from policy perspectives 19. AI governance 20. TBD

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Author Information

Chang S. Nam is currently a Professor of Industrial and Systems Engineering at North Carolina State University (NCSU), USA. He is also an associated faculty in the UNC/NCSU Joint Department of Biomedical Engineering as well as Department of Psychology. He received a PhD in human factors and ergonomics from the Grado Department of Industrial and Systems Engineering at Virginia Tech. His primary research interests are human-robot interaction, brain-computer interface, neuroergonomics, and affective computing. Currently, Nam serves as Editor for a journal on Brain-Computer Interfaces. Nam has served as a guest editor for special issues of the International Journal of Human-Computer Interaction. Jae-Yoon Jung is a professor in the department of industrial and management systems engineering (IE) at Kyung Hee University (KHU), Korea, and also an adjunct professor of the department of the department of software convergence (SWCon), KHU. He is currently the director of Graduate Program, IE and Smart Factory Program at KHU. He is leading Industrial AI Lab at KHU. He received the Ph.D., M.S., and B.S. degrees in Industrial Engineering at Seoul National University (SNU), in 2005, 2001, and 1999, respectively. In SNU, he was supervised by prof. Suk-Ho Kang and Yeongho Kim in Intelligent Manufacturing Systems Lab. After that, he visited the Process Mining Group at Eindhoven University of Technology (TU/e) in the Netherland, supervised by prof. Wil van der Aalst. Before joining in KHU, he worked for u-Computing Innovation Center (uCIC), directed by Prof. Jinwoo Park, and he also studied in the Information Management Lab. at SNU, supervised by prof. Jonghun Park. Sangwon Lee is an Associate Professor in Department of Interaction Science and Department of Applied Artificial Intelligence at Sugnkyunkwan University. He is also the director of ID square lab (Interaction Design and Development Laboratory). He received his BS degree from Korea University, and his MS degree and PhD degree from the Pennsylvania State University. His research interests lie in human-AI interaction, user experience, affective computing, user modelling, and explainable artificial intelligence.

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