Author: Ramón Hervás Lucas
Supervisor: Prof. José Bravo Rodríguez
This dissertation presents an infrastructure that contributes to ubiquitous information. Advances in Ambient Intelligence may help to provide us with the right information at the right time, in an appropri- ate manner and through the most suitable device for each situation. It is therefore crucial for such devices to have contextual information; that is, to know the person or persons in need of information, the environment, and the available devices and services. All of this information, in appropriate models, can provide a simplified view of the real world and let the system act more like a human and, consequently, more intelligently. A suitable context model is not enough; proactive user interface adaptation is necessary to offer personalized information to the user. In this Ph.D Thesis, we present mechanisms for the management of contextual information, reasoning techniques and adaptable user interfaces to support visualization services, providing functionality to make decisions about what and how available information can be offered. Additionally, we present the ViMos framework, an infrastructure to generate context-powered information visualization services dynamically.