XAmI Applications to Location-Aware Services

Location-aware (or location-based) services (LASs) are probably the most prevalent application of ambient intelligence (AmI). This chapter first summarizes the applications of artificial intelligence (AI) in LASs. However, some AI applications in LASs are difficult to understand or communicate with mobile users, so explainable ambient intelligence (XAmI) techniques must be applied to enhance the understandability of such AI applications. To this end, some XAmI techniques for LASs have been introduced. Subsequently, various types of interpretations of LASs are explained through examples. In addition, the priorities and impacts of criteria for choosing suitable service locations are also distinguished. Furthermore, to enhance the interpretability of the recommendation process and result for users, visualization XAmI methods tailored for LASs are also reviewed. This section concludes with a discussion of how to interpret AI-based optimization in LASs.