The EasyLiving project is concerned with development of an architecture and technologies for intelligent environments which allow the dynamic aggregation of diverse I/O devices into a single coherent user experience. Components of such a system include middleware (to facilitate distributed

embedded, interactive spaces that we call Intelligent Environments. The motivation for building these systems is to bring computation into the real, physical world to support what is traditionally considered non-computational activity.

interfaces to the search engines; interfaces that facilitate quick and efficient browsing through the multitude of returned documents. In this paper, we present FIRE- a multimodal interface for informa-tion retrieval deployed in the Intelligent Room at the MIT AI Lab. FIRE differs from most other interfaces

The National Accessibility Portal initiative is a large initia-tive aimed at improving the quality of life of people living with disabilities in South Africa. The initiative has several functional components, including the National Accessibility Portal, National Accessibility Portal Centers, research into developing localised client side assistive technologies and de-vices, advocacy as well as the development of a methodology allowing for replication in other developing countries with similar needs. The focus of this paper is on the research and development of the portal in the bigger National Accessibility Portal ini-tiative. The portal’s differentiating elements measured against other content portals is the ability to provide a configurable platform (based on the user’s profile) for information shar-ing and communication in an accessible and usable fashion within the constraints of today’s technologies, in the user’s language of choice and in the most cost effective and sus-tainable fashion. In this paper we describe the process involved in de-veloping version 1.0 of the National Accessibility Portal; from gathering user requirements, addressing the issue of multilingualism, accessibility and usability challenges. We present initial user feedback comments and highlight ongo-ing challenges. In addition we present the technology stack and implemented functionality.

this document may be "locked" so that it is only possible when all concerned are in the same space.

Artificial intelligence research has foundered on the issue of representation. When intelligence is approached in an incremental manner, with strict reliance on interfacing to the real world through perception and action, reliance on representation disappears. In this paper we outline our approach

Intelligent Environments (IEs) have specific computational properties that generally distinguish them from other computational systems.

This paper describes a distributed context processing architecture for an Active Office as an implementation model of an Intelligent Environment. It describes the IE repository, IE resolution, knowledge-based and resources manager as an integrated part of context awareness mechanism which plays

Abstract. The development of intelligent environments poses complex challenges, namely at the level of device heterogeneity and environment dynamics. In fact, we still lack supporting technologies and development approaches that can efficiently integrate different devices and technologies

In the future, computers will be everywhere: carried by everyone and in-tegrated into the environment. The increased computation and communication capabilities will enable environments to react to occupants through automated decision-making. On the path to intelligent environments, there are a