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Towards a natural interface to adaptive service composition
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Source ACM International Conference Proceeding Series; Vol. 49 archive
Proceedings of the 1st international symposium on Information and communication technologies table of contents
Dublin, Ireland
WORKSHOP SESSION: Invited workshop on adaptive systems for ubiquitous computing table of contents
Pages: 169 - 174  
Year of Publication: 2003
Authors
Steffen Higel  Trinity College Dublin, Ireland
Tony O'Donnell  Trinity College Dublin, Ireland
Vincent Wade  Trinity College Dublin, Ireland
Publisher
Trinity College Dublin 
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ABSTRACT

Novel modes of interaction and tailored application delivery are a key challenge in ubiquitous computing. This paper proposes a method of adaptively delivering lightweight, disposable service compositions to a user in a smart space. The user intuitively requests these services through a single, natural interface, which infers goals through observing behaviour and context. The composition is driven by generating tasks from these inferences, which can be resolved down to candidate services. We will discuss the proposed interaction between these components and highlight what direction our research will take.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
{Edgar, 2001} Web Services: A Position Paper, Edgar, G, W3C workshop on Web services, 2001
 
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{Dey et al, 2001} References Distributed and Disappearing User Interfaces in Ubiquitous Computing, Dey, Anind, Ljungstrand, Peter, Schmidt, Albrecht, 2001
 
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{Dagger, 2003} An Architecture for Candidacy in Adaptive eLearning Systems to Facilitate the Reuse of Learning Resources, Dagger D., Conlan O., Wade V., eLearn 2003
 
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{Horvitz et al, 1998} The Lumiere Project: Bayesian User Modeling for Inferring the Goals and Needs of Software Users, Horvitz E., Breese J., Heckerman D., Hovel D. & Rommelse K., In Proceedings of the Fourteenth Conference on Uncertainty in Artificial Intelligence, pages 256--265, 1998
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Collaborative Colleagues:
Steffen Higel: colleagues
Tony O'Donnell: colleagues
Vincent Wade: colleagues