Context is inherently complex, its effective use in intelligent context-aware systems representing a protracted and difficult challenge that has to date not been effectively addressed. A context definition (definition) is not an end in itself but is an artifact to enable personalized service provision (generally in wireless and networked pervasive systems) with the aim of addressing a number of important issues including: (1) information overload, (2) personalized service provision, (3) inaccurate search results, and (4) interactive collaboration in networked and wireless mobile systems. In mobile computing a context relates to a user’s situated role.

In Contextual Computing, a context (definition) should include contextual information to enable systems to effectively and precisely understand users and their situated role, a situated role describing the current situation and environment individual users experience during their interaction with the system.

Context-aware systems have to date failed to fully embrace the inherent complexity that is context, the focus being (generally) on location and identity contextual information. Leveraging the power of the available contextual information demands the application of computational intelligence. Realizing this calls for the development of intelligent context-aware pervasive systems. Work to build such systems can be traced from the early 1990’s to the present day however the work is at an embryonic stage.

The aim of the workshop is to present topical and innovative research utilizing intelligent context-aware computing technologies to address theoretical and practical issues in a diverse and heterogeneous range of application domains and systems which include (but not limited to): Ubiquitous Health Care, Ubiquitous Mobile Learning, Pervasive Emergency Management, Mobile Information Systems, Wireless and Networked Systems.