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Modelling Context: An Activity Theory Approach

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Ambient Intelligence (EUSAI 2004)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3295))

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Abstract

In this paper, we review different context classification systems that have been used to define elements of context. Although existing classification systems cover various types of context, in the development of context aware applications, only a few types of context have been used. In this work, we aim to build a context classification model based on Activity Theory that provides a basis both for dialogue amongst context awareness researchers and for the implementation of a context awareness architecture.

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© 2004 Springer-Verlag Berlin Heidelberg

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Kaenampornpan, M., O’Neill, E. (2004). Modelling Context: An Activity Theory Approach. In: Markopoulos, P., Eggen, B., Aarts, E., Crowley, J.L. (eds) Ambient Intelligence. EUSAI 2004. Lecture Notes in Computer Science, vol 3295. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30473-9_35

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  • DOI: https://doi.org/10.1007/978-3-540-30473-9_35

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-23721-1

  • Online ISBN: 978-3-540-30473-9

  • eBook Packages: Springer Book Archive

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