The models and their vocabulary for the Adaptive Augmented Reality A2R

Adaptive Augmented Reality is an emerging technology that can support users in their daily life with useful information in real time activities. However, one of the problems identified is the lack of a formal definition of the models required for the development of a A²R system. Therefore our aim is to propose a detailed definition of the models needed for this type of systems. To achieve this goal we started with a review of user adaptive systems throughout history, finding that adaptive Web systems have their own proposals for models and features, as well as for adaptation mechanisms of both presentation and navigation. Nevertheless these results do not fully satisfy the needs of A²R systems, as the scope for adaptability in A²R systems is wider than in typical web systems. We present an initial proposal of the required models for A²R. Moreover, in the search for a formal ground in the definition these models, we explored state of the art ontologies, particularly ontologies related to user and environment modelling, two key aspects in A²R, and we analysed to what extent our models are covered.