Personalized use models in ambient intelligence environments

Abstract

The impact of user interface quality has grown in software systems engineering, and will grow further with upcoming new paradigms such as Ambient Intelligence (AmI) or Ubiquitous Computing, which confront the production industry with a huge diversity of new usage situations. User in such situations cannot cope with the vast amount of information. Therefore, new models with respect to users needs are required to support them fulfilling their tasks. In this paper, the adaptation of a task-oriented use model to future paradigms is presented by considering personal structural preferences and advanced user interaction control. The model reflects user groups tasks and user interface structure preferences described in a system-independent language. For the future, this model is intended to be used for the run-time generation of user interfaces for adaptive software and intelligent environments, especially in the area of production and manufacturing. Copyright © 2007 International Federation of Automatic Control All Rights Reserved.