This position paper proposes argumentation structures for automated reasoning in context-aware systems, for design of context-aware behaviour, for generating explanations of system actions to users, and for more expressive rules for userprogramming of context-aware systems.

Mobile learning is cognitively demanding and frequently the ubiquitous nature of mobile computing means that mobile devices are used in cognitively demanding environments. This paper examines the use of mobile devices from a Learning, Usability and Cognitive Load Theory perspective. It suggests scenarios where these fields interact and presents an experiment which determined that several source...

Location-aware systems provide customised services or applications according to users’ locations. While much research has been carried out in developing models to represent location information and spatial relationships, it is usually limited to modelling simple environments (cf. [13,19,3]). This paper proposes a unified space model for more complex environments (e.g., city plan or forest). Thi...

Instead of being static and waiting passively for instructions, software systems are required to take a more proactive approach in their behavior in order to anticipate and to adapt to the needs of their users. To design and develop such systems in an affordable, predictable and timely manner is a great engineering challenge. Even though there have been notable steps towards distributed self-ad...

This paper addresses two fundamental research problems in the domain of context aware autonomic systems: the development of a generic context model that can be used to represent general purpose contexts in a system interpretable way and the autonomic context model management. The proposed context model uses two equivalent and synchronized ways of representing the context: a set based representa...

A variety of tools have been developed to bring about the realization of pervasive context-aware systems. However, there are still many challenges faced by such applications when trying to determine the context of who, what, when, where, why and how activities are being performed. One such challenge is obtaining the necessary data to train such context-aware systems. In this paper we present a ...

A variety of communication problems is a common phenomenon in the current hospital setting. Physicians need a mobile context-aware communication system in their daily practice. Our approach, based on an initial study performed at the Oncology Department at the University Hospital of North Norway and an extensive collection of user needs according to CSCW and use case methodology, will develop a...

In the evolution path towards the “Always-Connected” era and the trend for even more context-aware services, Device-to-Device communications (D2D) promise to be a key feature of the next-generation mobile networks. Despite remaining technical issues and uncertain business strategies, D2D-based services represent a new market opportunity for mobile operators that would manage to smoothly integra...

Information Retrieval (IR) models based on vector spaces have been investigated for a long time. Nevertheless, they have recently attracted further research interest beyond the classical statistical view of vectors and matrices. Moreover, “context” has been recognized as a crucial component of IR systems. As the way context affects IR systems is very complex, a principled approach to modeling a...