The development and validation of a Real Time Location System to reliably monitor everyday activities in natural contexts
The accurate measurement of behaviour is vitally important to many disciplines and practitioners of various kinds. While different methods have been used (such as observation, diaries, questionnaire), none are able to accurately monitor behaviour over the long term in the natural context of people's own lives. The aim of this work was therefore to develop and test a reliable system for unobtrusively monitoring various behaviours of multiple individuals within the same household over a period of several months. A commercial Real Time Location System was adapted to meet these requirements and subsequently validated in three households by monitoring various bathroom behaviours. The results indicate that the system is robust, can monitor behaviours over the long-term in different households and can reliably distinguish between individuals. Precision rates were high and consistent. Recall rates were less consistent across households and behaviours, although recall rates improved considerably with practice at set-up of the system. The achieved precision and recall rates were comparable to the rates observed in more controlled environments using more valid methods of ground truthing. These initial findings indicate that the system is a valuable, flexible and robust system for monitoring behaviour in its natural environment that would allow new research questions to be addressed.
Keywords
Behavior, Sensory systems, Soaps, Vitamins, Microphones, Research validity, Hygiene, Research monitoringItem Type | Dataset |
---|---|
Capture method | Other |
Date | 14 February 2017 |
Language(s) of written materials | English |
Creator(s) |
Judah, G, de Witt Huberts, J, Drassal, A and Aunger, R |
Participating Institutions | London School of Hygiene & Tropical Medicine, London, United Kingdom, Imperial College, London, United Kingdom, Potsdam University, Potsdam, Germany, Washington State University, Pullman, Washington, United States of America |
Funders |
Project Funder Grant Number Funder URI |
Date Deposited | 24 Feb 2017 16:39 |
Last Modified | 15 Feb 2022 19:12 |
Publisher | Figshare |
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info - Data household 1 (MS Excel). doi:10.1371/journal.pone.0171610.s001
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subject - Data
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info - Recognition rates for each household (MS Word). doi:10.1371/journal.pone.0171610.s004
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subject - Data
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info - Data household 2 (MS Excel). doi:10.1371/journal.pone.0171610.s002
grid_on - application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
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subject - Data
- Creative Commons: Attribution
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info - Data household 3 (MS Excel). doi:10.1371/journal.pone.0171610.s003
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