Autonomous adaptation of user interfaces to support mobility in ambient intelligence systems

Abstract

The work presented in this paper is focused on building Ambient Intelligence (AmI) applications capable of moving from one environment to another, while their user interface keeps adapting itself, autonomously, to the variable environment conditions and the available interaction resources. AmI applications are expected to interact with users naturally and transparently, therefore, most of their interaction relies on embedded devices that obtain information from the user and environment. This work implements a framework for AmI systems that elevates those embedded devices to the class of interaction resources. It does so by providing a new level of abstraction that decouples applications, conceptually and physically, from the different specific interaction resources available and their underlying heterogeneous technologies. In order to drive the adaptation process to environment changes, the system makes use of a set of models that describe the user, environment conditions and devices, and algorithms for context-aware selection of the interaction devices.