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Situvis: A sensor data analysis and abstraction tool for pervasive computing systems
Citation
Clear, AK and Holland, T and Dobson, S and Quigley, A and Shannon, R and Nixon, PA, Situvis: A sensor data analysis and abstraction tool for pervasive computing systems, Pervasive and Mobile Computing , 6, (5) pp. 575-589. ISSN 1574-1192 (2010) [Refereed Article]
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DOI: doi:10.1016/j.pmcj.2010.04.002
Abstract
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.
Item Details
| Item Type: | Refereed Article |
|---|---|
| Keywords: | Pervasive computing, interactive visualisation, context-awareness |
| Research Division: | Information and Computing Sciences |
| Research Group: | Human-centred computing |
| Research Field: | Pervasive computing |
| Objective Division: | Information and Communication Services |
| Objective Group: | Information systems, technologies and services |
| Objective Field: | Information systems, technologies and services not elsewhere classified |
| UTAS Author: | Nixon, PA (Professor Paddy Nixon) |
| ID Code: | 70112 |
| Year Published: | 2010 |
| Web of Science® Times Cited: | 6 |
| Deposited By: | Research Division |
| Deposited On: | 2011-06-03 |
| Last Modified: | 2015-02-13 |
| Downloads: | 3 View Download Statistics |
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