Augmented Reality-based Exhibit Information Personalized Service Architecture through Spectator's Context Analysis

This paper suggests a personalized service system offering effective exhibition information by collecting, analyzing, and managing spectator environment information in exhibitions based on a ubiquitous environment. To that end, we use AR technologies that can provide intuitive and supportive information for displaying exhibition information. The previous AR is considered quite static, for virtual information is provided by pattern matching (e.g., markers, features of an object, etc.). Therefore, the system in this paper offers dynamic personalized services in that virtual information is displayed according to spectator’s situations and carries out context inference by grouping context information into metadata and by measuring similarity.