A task-driven design model for collaborative AmI systems

Arroyo, Roberto F.; Gea, Miguel; Garrido, José Luis; Haya, Pablo A.

UAM_Biblioteca

Author

Arroyo, Roberto F.; Gea, Miguel; Garrido, José Luis; Haya, Pablo A.

Entity

UAM. Departamento de Ingeniería Informática

Publisher

Moira C. Norrie, Schahram Dustdar, Harald Gall

Date

2006-06

Citation

UMICS '06: Ubiquitous Mobile Information and Collaboration Systems. Ed. Moira C. Norrie, Schahram Dustdar, Harald Gall. CEUR Workshop Proceedings, Volumen 242, 2006. 969-983

ISSN

1613-0073

ISBN

2-87037-525-5

Funded by

This research is partially supported by a Spanish R&D Project TIN2004-03140, Ubiquitous Collaborative Adaptive Training (U-CAT).

Editor's Version

http://ceur-ws.org/Vol-242/

Subjects

Informática

URI

http://hdl.handle.net/10486/664334

Note

Proceedings of the CAISE*06 Workshop on Ubiquitous Mobile Information and Collaboration Systems UMICS '06. Luxemburg, June 5-9, 2006.
The proceedings of this workshop also appeared in printed version In T. Latour and M. Petit (eds), Proceedings of Workshops and Doctoral Consortium, The 18th International Conference on Advanced Information Systems Engineering - Trusted Information Systems (CAiSE'06), June 5-9, 2006, Presses Universitaires de Namur, 2006, ISBN 2-87037-525.
Also published online by CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073)

Rights

Abstract

Ambient intelligence (AmI) is a promising paradigm for humancentred interaction based on mobile and context-aware computing, natural interfaces and collaborative work. AMENITIES (a conceptual and methodological framework based on task-based models) has been specially devised for collaborative systems and is the starting point for a new design proposal for application to AmI systems. This paper proposes a task-based model for designing collaborative AmI systems, which attempts to gather the computational representation of the concepts involved (tasks, laws, etc.) and the relationships between them in order to develop a complete functional environment in relation with the features of AmI systems (collaborative, context-aware, dynamic, proactive, etc.). The research has been applied to an e-learning environment and is implemented using a blackboard model.

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