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

Adrian Clear, Ross Shannon, Thomas Holland, Aaron Quigley, Simon Dobson, Paddy Nixon

Research output: A Conference proceeding or a Chapter in BookConference contributionpeer-review

5 Citations (Scopus)


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.
Original languageEnglish
Title of host publicationPervasive Computing
Subtitle of host publicationProceedings of the 7th International Conference, Pervasive 2009, Nara, Japan, May 11-14, 2009
EditorsHideyuki Tokuda, Michael Beigl, Adrian Friday, A. J. Bernheim Brush, Yoshito Tob
Place of PublicationBerlin
Number of pages15
ISBN (Print)9783642015151
Publication statusPublished - 2009
Externally publishedYes
Event7th International Conference on Pervasive Computing 2009 - Nara, Nara, Japan
Duration: 11 May 200914 May 2009


Conference7th International Conference on Pervasive Computing 2009


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