Context awareness in I-centric systems - Dynamic Context Learning Using a Rule-Based Approach -

Capturing contextual information, especially higher-level contexts, enables systems to understand and predict the behaviour of a mobile user. This kind of information is mostly implicit, abstracting a complex state of a situation, and can only partly be captured by sensors. Higher-level context has the potential to make user applications simpler and more intuitive. However, composing higher-level contexts from explicit, atomic contexts requires complex procedures to be used and uncertainty due to inconsistent sensor readings and incomplete information to be reduced. In this paper, we introduce a new approach that assists application developers to take higher-level contexts into account without the need to know the details of atomic contexts. To demonstrate our approach, we will introduce the Context-Aware E-Pad (CAEP) we have designed and implemented.