Proactive computing systems are connected to the physical world by means of sensors and actuators which are used to both measure and manipulate the physical surroundings. The gathered environmental data serve proactive systems as stimuli to which they respond in terms of providing users with appropriate resources, information, and services.

In order to fulfil this task, proactive systems need to and benefit from taking users’ contexts into account, i.e. using the gathered sensor data to infer users’ state, activities, goals, and so on and to adjust their proactive behaviour accordingly.

In addition, mobile and pervasive environments have turned out to be a promising application area for proactive systems. Deploying proactive systems in such rapidly changing environments enforces the need to make them context-aware.

Context awareness in proactive systems opens up a lot of novel opportunities, however, it also poses new challenges upon proactive computing technology. The major objective of the workshop is to study and explore these challenges and proposed ways of meeting them. This includes research on modelling and representing context in proactive computing systems, frameworks and architectures for context handling, sensor and actuator management, context reasoning, learning, and prediction as well as on modelling, recognising and fulfilling user demand.

Topics of Interest We appreciate submissions from all areas contributing to the development of context-aware proactive systems. Topics of interest include, but are not limited to: - Sensor and actuator management - Context modelling and representation - Context data management - Frameworks and architectures for context-aware systems - Context learning and prediction techniques - Context reasoning - User demand recognition and modelling - Context-based resource, information, and service provisioning - Infrastructures for proactive systems