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

Research output: Contribution to Journal/Magazine › Journal article › peer-review

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Situvis: a sensor data analysis and abstraction tool for pervasive computing systems. / Clear, Adrian; Holland, Thomas; Dobson, Simon et al.
In: Pervasive and Mobile Computing, Vol. 6, No. 5, 10.2010, p. 575-589.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Clear, A, Holland, T, Dobson, S, Quigley, A, Shannon, R & Nixon, P 2010, 'Situvis: a sensor data analysis and abstraction tool for pervasive computing systems', Pervasive and Mobile Computing, vol. 6, no. 5, pp. 575-589. https://doi.org/10.1016/j.pmcj.2010.04.002

APA

Clear, A., Holland, T., Dobson, S., Quigley, A., Shannon, R., & Nixon, P. (2010). Situvis: a sensor data analysis and abstraction tool for pervasive computing systems. Pervasive and Mobile Computing, 6(5), 575-589. https://doi.org/10.1016/j.pmcj.2010.04.002

Vancouver

Clear A, Holland T, Dobson S, Quigley A, Shannon R, Nixon P. Situvis: a sensor data analysis and abstraction tool for pervasive computing systems. Pervasive and Mobile Computing. 2010 Oct;6(5):575-589. doi: 10.1016/j.pmcj.2010.04.002

Author

Clear, Adrian ; Holland, Thomas ; Dobson, Simon et al. / Situvis : a sensor data analysis and abstraction tool for pervasive computing systems. In: Pervasive and Mobile Computing. 2010 ; Vol. 6, No. 5. pp. 575-589.

Bibtex

@article{891a315545ab4dbf8384e00ca476e899,
title = "Situvis: a sensor data analysis and abstraction tool for pervasive computing systems",
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.",
keywords = "Pervasive computing, Interactive visualisation , context-awareness",
author = "Adrian Clear and Thomas Holland and Simon Dobson and Aaron Quigley and Ross Shannon and Paddy Nixon",
year = "2010",
month = oct,
doi = "10.1016/j.pmcj.2010.04.002",
language = "English",
volume = "6",
pages = "575--589",
journal = "Pervasive and Mobile Computing",
issn = "1574-1192",
publisher = "Elsevier Science B.V.",
number = "5",

}

RIS

TY - JOUR

T1 - Situvis

T2 - a sensor data analysis and abstraction tool for pervasive computing systems

AU - Clear, Adrian

AU - Holland, Thomas

AU - Dobson, Simon

AU - Quigley, Aaron

AU - Shannon, Ross

AU - Nixon, Paddy

PY - 2010/10

Y1 - 2010/10

N2 - 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.

AB - 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.

KW - Pervasive computing

KW - Interactive visualisation

KW - context-awareness

U2 - 10.1016/j.pmcj.2010.04.002

DO - 10.1016/j.pmcj.2010.04.002

M3 - Journal article

VL - 6

SP - 575

EP - 589

JO - Pervasive and Mobile Computing

JF - Pervasive and Mobile Computing

SN - 1574-1192

IS - 5

ER -