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Situvis: A Visual Tool for Modeling a User’s Behaviour Patterns in a Pervasive Environment

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Part of the Lecture Notes in Computer Science book series (LNISA,volume 5538)

Abstract

One of the key challenges faced when developing context-aware pervasive systems is to capture the set of inputs that we want a system to adapt to. Arbitrarily specifying ranges of sensor values to respond to will lead to incompleteness of the specification, and may also result in conflicts, when multiple incompatible adaptations may be triggered by a single user action. We posit that the ideal approach combines the use of past traces of real, annotated context data with the ability for a system designer or user to go in and interactively modify the specification of the set of inputs a particular adaptation should be responsive to. We introduce Situvis, an interactive visualisation tool we have developed which assists users and developers of context-aware pervasive systems by visually representing the conditions that need to be present for a situation to be triggered in terms of the real-world context that is being recorded, and allows the user to visually inspect these properties, evaluate their correctness, and change them as required. This tool provides the means to understand the scope of any adaptation defined in the system, and intuitively resolve conflicts inherent in the specification.

Keywords

  • Activity Recognition
  • Smart Home
  • Context Data
  • Visual Tool
  • Pervasive Environment

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Clear, A.K., Shannon, R., Holland, T., Quigley, A., Dobson, S., Nixon, P. (2009). Situvis: A Visual Tool for Modeling a User’s Behaviour Patterns in a Pervasive Environment. In: Tokuda, H., Beigl, M., Friday, A., Brush, A.J.B., Tobe, Y. (eds) Pervasive Computing. Pervasive 2009. Lecture Notes in Computer Science, vol 5538. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01516-8_22

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  • DOI: https://doi.org/10.1007/978-3-642-01516-8_22

  • Publisher Name: Springer, Berlin, Heidelberg

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