Design and Implementation of a wearable, context-aware MR framework for the Chloe@University application

In this paper, we present the technical details and the challenges we faced during the development and evaluation phases of our wearable indoor guiding system which consists of a virtual personal assistant guiding the user to his/her desired destination. The main issues that will be discussed can be classified in three categories: context detection, real-time 3D rendering and user interaction

A Dynamic User-Centric Mobile Context Model

Context-aware systems can dynamically adapt to user situations to provide smarter services. In general, context refers to the information that can be used to characterize these situations, and context models are deployed to specify contextual information described in context-aware systems. However, even though user context is highly dynamic, existing context models either focus on modeling static views of context or lack appropriate design abstractions to deal with dynamic aspects and interactions involving contextual elements such location, time, user roles, social relationships, and changing preferences. Moreover, virtual environments have not been modelled by most of the existing context models even though online interaction is very common and popular. This thesis presents a dynamic user-centric context model that can be used to model the aspects of context-aware systems that are subject to frequent change. Four case studies are proposed to illustrate the applicability of the approach taken by this thesis, and they are in the domains of mobile e-healthcare, mobile commerce, mobile tourism, and mobile augmented reality gaming. Benefits of the proposed model include avoiding the development of context-aware systems from scratch, enabling future use of model-driven approaches, and reducing implementation effort