An Intelligent Assistant for Context-Aware Adaptation of Personal Communications

Abstract

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.