Framework for context-aware smartphone applications

This paper presents research and development of a dedicated system architecture, designed to enable its users to interact with each other as well as to access information on points of interest that exist in their immediate environment. This is accomplished through managing personal preferences and contextual information in a distributed manner and in real time. The advantage of this system is that it uses mobile devices, heterogeneous sensors and a selection of user interface paradigms to produce a sociotechnical framework to enhance the perception of the environment and promote intuitive interactions. Representation of the real-world objects, their spatial relations and other captured features are visualised on scalable interfaces, ranging from 2D to 3D models and from photorealism to stylised clues and symbols. The conceptual design and implementation of our location and orientation based algorithm for mobile augmented reality is presented in detail. The framework is fit for use in unknown environments and therefore suitable for ubiquitous operation. The presented prototype is multifaceted and capable of supporting peer-to-peer exchange of information in a pervasive fashion, usable in various contexts. The modalities of these interactions are explored and laid out particularly in the context of entertainment and urban navigation.