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Situvis: a sensor data analysis and abstraction tool for pervasive computing systems

Research output: Contribution to journalJournal articlepeer-review

  • Adrian Clear
  • Thomas Holland
  • Simon Dobson
  • Aaron Quigley
  • Ross Shannon
  • Paddy Nixon
<mark>Journal publication date</mark>10/2010
<mark>Journal</mark>Pervasive and Mobile Computing
Issue number5
Number of pages15
Pages (from-to)575-589
Publication StatusPublished
<mark>Original language</mark>English


Pervasive systems are large-scale systems consisting of many sensors capturing numerous types of information. As this data is highly voluminous and dimensional, data analysis tasks can be extremely cumbersome and time-consuming. Enabling computers to recognise real-world situations is an even more difficult problem, involving not only data analysis, but also consistency checking. Here we present Situvis, an interactive visualisation tool for representing sensor data and creating higher-level abstractions from the data. This paper builds on previous work, Clear et al. (2009) [8] through evolved tool functionality and an evaluation of Situvis. A user-trial consisting of 10 participants shows that Situvis can be used to complete the key tasks in the development process of situation specifications in over 50% less time than an improvised alternative toolset.