Abstract We describe the design effort of the Context Awareness Framework developed for the HYDRA Middleware Project, a middleware developed to support intelligent networked embedded system based on a service-oriented architecture, deployable on networks of distributed wireless and wired devices. A Context Awareness Framework (CAF) is crucial for the success of such intelligent networked systems. Changing requirements and dynamic environments are drivers for context-aware applications. The automatic execution of system adaptations leads to an information and communication system that provides information and functionality that is relevant and at the right level of complexity with respect to the current situation.

Abstract: Until now informational self-determination has not been examined in relation to context prediction. The right of users to decide whether or not and how they want their personal data to be used is not ensured. This paper analyses the problem by introducing the state of the art and application fields of context prediction with focus on the users' personal data. Subsequently, informational self-determination and the problems that arise if techniques of context prediction compete with informational self-determination will be presented. Finally, possible solutions for overcoming these problems will be outlined