The models and their vocabulary for the Adaptive Augmented Reality A2R=Los modelos y su vocabulario para la Realidad Aumentada Adaptativa A2R

Resumen

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. 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.