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Classification and Use of Context

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Sensing and Systems in Pervasive Computing

Part of the book series: Undergraduate Topics in Computer Science ((UTICS))

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Abstract

In a traditional computer system inputs and outputs are well-defined and have explicit behaviours associated with them. In pervasive computing these inputs may be adapted, but the focus of this chapter is augmenting explicit input with context awareness. This demands an awareness of the environment, changing display preferences if it is dark, changing patterns of interruption in a meeting and so on—ideally with minimal user involvement, in order to achieve the blending into the background we desire from pervasive computing. We discuss input and context, defining context and classifying aspects and uses of context; then go on to present a context stack, where sensor data is transformed into a representation of the world and then to behaviours. This chapter forms the basis for the following chapters on error, location, and time.

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Authors and Affiliations

  1. University of Sussex, Brighton, United Kingdom

    Dan Chalmers

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  1. Dan Chalmers
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Correspondence to Dan Chalmers .

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Chalmers, D. (2011). Classification and Use of Context. In: Sensing and Systems in Pervasive Computing. Undergraduate Topics in Computer Science. Springer, London. https://doi.org/10.1007/978-0-85729-841-6_5

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  • DOI: https://doi.org/10.1007/978-0-85729-841-6_5

  • Publisher Name: Springer, London

  • Print ISBN: 978-0-85729-840-9

  • Online ISBN: 978-0-85729-841-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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