A task-driven design model for collaborative AmI systems
Entity
UAM. Departamento de Ingeniería InformáticaPublisher
Moira C. Norrie, Schahram Dustdar, Harald GallDate
2006-06Citation
UMICS '06: Ubiquitous Mobile Information and Collaboration Systems. Ed. Moira C. Norrie, Schahram Dustdar, Harald Gall. CEUR Workshop Proceedings, Volumen 242, 2006. 969-983ISSN
1613-0073ISBN
2-87037-525-5Funded 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
InformáticaNote
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
© 2006 The author/sAbstract
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.
Files in this item
Google Scholar:Arroyo, Roberto F.
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Gea, Miguel
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Garrido, José Luis
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Haya, Pablo A.
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