Cel
Our investigation is into underlying computational models for Ambient Systems on a global scale, which allow appropriate information to pass freely around the underlying infrastructure, allowing devices to be modular and communicative with other devices, in networks that keep recollection of use and user's characteristics whilst respecting privacy. Our models take explicit descriptions of context (physical and computational) and use these to drive the underlying infrastructures. Our investigation is into underlying computational models for Ambient Systems on a global scale, which allow appropriate information to pass freely around the underlying infrastructure, allowing devices to be modular and communicative with other devices, in networks that keep recollection of use and user's characteristics whilst respecting privacy. Our models take explicit descriptions of context (physical and computational) and use these to drive the underlying infrastructures.
OBJECTIVES
1. the precise understanding of how services (physical and information) are used and how users interleave various contexts (home life, work life, etc.) during usage;
2. the natural representations of these usage patterns and contexts via narratives;
3. novel programming and systems support for the narrative representations and execution;
4. the development of essential middleware infrastructures for hybrid peer-to-peer and hierarchical systems;
5. the development of abstract machine for interaction devices.
DESCRIPTION OF WORK
Research focus:
GLOSS takes the view that movement in real space is a source of opportunities. By leveraging the features of spaces - their uses, interconnections etc - we seek to use peoples' locations and movements (context) as both a source of task-level cues and a guide to appropriate information provision. Essentially this means that both space and information systems must be considered as a whole, since actions in one have an immediate impact in the other and vice versa in a feedback loop.
GLOSS addresses the issue of combining technologies and their interactions on a large scale. GLOSS is based on a simple premise. While commercial off-the-shelf technologies are providing the building blocks of pervasive computing, they do little to address the gap between users with their high-level tasks and the low-level details of the interactions needed to accomplish these tasks.
Consequently, our research focus has been on devising radically new software infrastructures to facilitate the low-level interactions in a manner that is driven by both the explicit and implicit high-level context of the user. Our aim is to provide general solutions to this problem both at the site of the user interaction and in the supporting network.
Dziedzina nauki
Zaproszenie do składania wniosków
Data not availableSystem finansowania
CSC - Cost-sharing contractsKoordynator
G1 1XQ GLASGOW
Zjednoczone Królestwo