Explainable Ambient Intelligence (XAmI) - Chen, Tin-Chih Toly
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This book systematically reviews the progress of Explainable Ambient Intelligence (XAmI) and introduces its methods, tools, and applications.
Ambient intelligence (AmI) is a vision in which an environment supports the people inhabiting it in an unobtrusive, interconnected, adaptable, dynamic, embedded, and intelligent way. So far, artificial intelligence (AI) technologies have been widely applied in AmI. However, some advanced AI methods are not easy to understand or communicate, especially for users with insufficient background knowledge of AI, which undoubtedly limits the practicability…mehr

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Produktbeschreibung
This book systematically reviews the progress of Explainable Ambient Intelligence (XAmI) and introduces its methods, tools, and applications.

Ambient intelligence (AmI) is a vision in which an environment supports the people inhabiting it in an unobtrusive, interconnected, adaptable, dynamic, embedded, and intelligent way. So far, artificial intelligence (AI) technologies have been widely applied in AmI. However, some advanced AI methods are not easy to understand or communicate, especially for users with insufficient background knowledge of AI, which undoubtedly limits the practicability of these methods. To address this issue, explainable AI (XAI) has been considered a viable strategy. Although XAI technologies and tools applied in other fields can also be applied to explain AI technology applications in AmI, users should be the main body in the application of AmI, which is slightly different from the application of AI technologies in other fields.
This book containsreal case studies of the application of XAml and is a valuable resource for students and researchers.
Autorenporträt
Dr. Chen has guest edited several special issues on mobile healthcare-related topics for journals including Health Care Management Science, Journal of Ambient Intelligence and Humanized Computing, International Journal of Intelligent Systems, etc. He has also published papers on mobile health care in journals such as International Journal of Intelligent Systems, Journal of Ambient Intelligence and Humanized Computing, Health Care Management Science, Cognitive Computation, Health Policy and Technology, and Digital Health. Dr. Lee is the Associate Editor of the IEEE Sensors Journal and has guest edited a special issue on wearable inertial sensors for gait for Sensors. She has also published papers on Gait & Posture, IEEE Sensors Journal, Journal of Computing and Information Science in Engineering, Journal of Biomechanics, Clinical Neurophysiology, etc. She is also an active reviewer for IEEE Transactions on Biomedical Engineering, IEEE Transactions on Information Forensics & Security, IEEE Sensors Journal, Advanced Engineering Informatics, Gait & Posture, etc.