Estratégia para o Desenvolvimento de Aplicações Adaptativas de Visualização de Informações com Realidade Aumentada

Abstract

The use of techniques for Information Visualization, by means of computational resources, allows converting data and presenting them visually to the user by means of images or other sensory stimuli in a way that can be better understood. Current studies show the importance of developing systems of information display that can adjust the level of prior knowledge of the user, so that it can, effectively, understand the information displayed. This contributes to the view that is enriched with the principles of other relevant areas in order to develop representations of data that enhance perceptual and cognitive experience of the user. The future potentiality of this technology takes place especially in environments where information is present and will be literally felt through the activation of all our senses. This motivates not only the research and development of adaptive applications to Information Visualization with Augmented Reality, but also development strategies and architectures for applications in this category. This Thesis presents computational methodologies used in the development of adaptive applications to the Information Visualization with Augmented Reality and an architecture for integrating these applications, yet, the development of visualization techniques, interaction and adaptation that may be included in such applications. This work addresses and supports such methodologies by the means of the description of the state of the art of research in related areas, the study of a case applied in the agricultural sector and the presentation of experimental tests with users to validate the approach.