An Intelligent Assistant for Context-Aware Adaptation of Personal Communications

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. Although context awareness seems to be the best answer to these challenges, most of the already developed context-aware solutions did not make their way to the consumer market because they focused on context provisioning (acquisition and modeling) and fell short from proposing concrete architectures for context-based adaptation of user communications. In this paper, we discuss the basic requirements for communication adaptation and we define the main characteristics of a communication session. Then, we propose INCA (intelligent network-based communication assistant) by describing its architecture and its behavior according to a previously defined reference scenario.