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, environment interface, which infers goals through observing behaviour and context, and manages the configuration and interaction of the devices within the space. 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.
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References
Edgar, G.: Web Services: A Position Paper. In: W3C workshop on Web services (2001)
Dey, A., Ljungstrand, P., Schmidt, A.: References Distributed and Disappearing User Interfaces in Ubiquitous Computing (2001)
Langley, P.: Machine learning for adaptive user interfaces. In: German Annual Conference on Artificial Intelligence (1997)
Kcman, E., Melloul, L., Fox, A.: Towards Zero-Code Service Composition. In: Hot Topics in Operating Systems (2001)
Wu, D., Sirin, E., Hendler, J., Nau, D.: Automatic Web Services Composition Using SHOP2. In: Twelfth World Wide Web Conference (2003)
Conlan, O., Lewis, D., Higel, S., O’Sullivan, D., Wade, V.: Applying Adaptive Hypermedia Techniques to Semantic Web-Service Composition. In: Adaptive Hypermedia (2003)
Horvitz, E.: Principles of Mixed-Initiative User Interfaces. In: Proceedings of the SIGCHI conference on Human factors in computing systems, pp. 159–166 (1999)
Dagger, D., Conlan, O., Wade, V.: An Architecture for Candidacy in Adaptive eLearning Systems to Facilitate the Reuse of Learning Resources. In: eLearn 2003 (2003)
Horvitz, E., Breese, J., Heckerman, D., Hovel, D., Rommelse, K.: The Lumiere Project: Bayesian User Modeling for Inferring the Goals and Needs of Software Users. In: Fourteenth Conference on Uncertainty in Artificial Intelligence Intelligence (1998)
Vertegaal, R.: Attentive User Interfaces. Communications of the ACM 46(3), 31–33 (2003)
Luckham, D.: The Power of Events: An Introduction to Complex Event Processing. Pearson Education Inc., London (2002)
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© 2003 IFIP International Federation for Information Processing
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Higel, S., O’Donnell, T., Lewis, D., Wade, V. (2003). Towards an Intuitive Interface for Tailored Service Compositions. In: Stefani, JB., Demeure, I., Hagimont, D. (eds) Distributed Applications and Interoperable Systems. DAIS 2003. Lecture Notes in Computer Science, vol 2893. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-40010-3_24
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DOI: https://doi.org/10.1007/978-3-540-40010-3_24
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-20529-6
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