Abstract
Context-aware services are one of the most typical services in ambient intelligent environments. Although there have been many academic projects on context-aware services, most of them were evaluated in laboratory-level or small-scale experiments. Context-aware services in real spaces suffer from a variety of problems. This paper addresses such problems. It describes experiences learned from our experiments on context-aware services in real public spaces, e.g., museums, and proposes solutions to them. Most of the problems presented in this paper are still common to other context-aware services.
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