Explainable Ambient Intelligence (XAmI)

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 contains real case studies of the application of XAml and is a valuable resource for students and researchers.

Autorentext

Dr. Tin-Chih Toly Chen has guest edited several special issues on AmI and AI for journals including Journal of Ambient Intelligence and Humanized Computing, Health Care Management Science, Fuzzy Sets and Systems, Operations Research, and International Journal of Intelligent Systems. He has also published papers on AI applications to AmI in journals such as Journal of Ambient Intelligence and Humanized Computing, Health Care Management Science, Operations Research, Digital Health, Complex & Intelligent Systems, etc.