A generic layer model for context-aware communication adaptation

Personal communications are facing many challenges created by mobility and convergence in today's communication networks. People often find themselves interacting with their devices in attention-constrained environments and deal with a bewildering variety of communication services, devices and access technologies. Many solutions tried to resolve this issue by relying on context-awareness. However, they suffered from drawbacks that hinder their deployment in the consumer market. In this paper, we discuss the implementation of INCA (Intelligent Network-based Communication Assistant), a multi-layered agent for context-aware adaptation of personal communications. This agent relies on a generic layer model that is applied to each of its layers, therefore enabling an intuitive and easy to implement architecture.