Context-aware systems demand a customized development methodology because they have their own features such as ambiguous system scope, context modeling, and implementing context-dependent services. Furthermore, it has been known that these systems are more complex than traditional systems. In this paper, we meet this challenge by extending the unified process (UP), and add three workflows: cont...

Modeling context is a key factor for enabling context-aware systems to be responsive to users’ needs and consequently for making computing “invisible”. A context model, which is a product of context modeling, provides a systematic way of identifying and representing knowledge about users’ environment in context-aware architecture. Through this knowledge, and its sensing and reasoning capabiliti...

..........................................................................................................................i Declaration .................................................................................................................. iii Acknowledgements....................................................................................................... iv

Intention-aware systems integrate aspects of context-aware and attentionaware systems for the identification and support of intention. Focusing intention is justified by the impact of intention on awareness and interaction with the world. Therefore, proactive user support mechanisms can be improved by including a representation of intention. In this paper, the externalization of intention in ta...

Intention-Aware systems are introduced as a system class which enables user support based on intention detection. Thereby, intention-aware systems build on the user-centric support approach of attention-aware systems and the environmentcentric support approach of context-aware systems. A framework for intention-aware systems is proposed, highlighting the importance of a task model. We review 16...

As context-aware systems have grown in sophistication, they have adopted more complex contextual models. This paper steps back from the details of model contents and composition and investigates how personal and group models can be evaluated. A specific method is proposed that leverages the transition in the user’s cognitive state between “ready-at-hand” and “present-at-hand.”

Context-awareness refers to systems that unobtrusively adapt to the environment of their users on the basis of context information, popularly known as contextaware systems. One inherent property of context information is that it possesses a certain quality, such as the certainty with which it has been determined and so on. Different aspects of this quality are represented by a set of indicators...

Abstract We propose a hybrid context based topic model with an adaptive window length for word sense disambiguation in document representation. Document representation is essential part of various tasks, and to capture the distinctions senses Traditional methods mainly rely on knowledge libraries data enrichment; however, semantics division may vary different domain-specific datasets. aim disco...