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A multi-site study on walkability, data sharing and privacy perception using mobile sensing data gathered from the mk-sense platform


Hernández, N; Arnrich, B; Favela, J; Ersoy, C; Demiray, Burcu; Fontecha, J (2017). A multi-site study on walkability, data sharing and privacy perception using mobile sensing data gathered from the mk-sense platform. Journal of Ambient Intelligence and Humanized Computing:Epub ahead of print.

Abstract

Walking is a fundamental part of a physically active lifestyle, it is one of everyday activities that positively impacts health and wellbeing. In this paper we describe the challenges and experiences of conducting a sensing campaign in the wild. We make use of mk-sense; a software platform to facilitate the deployment of collaborative sensing campaigns. We elaborate on two cross-cultural studies conducted in four different countries (Mexico, Turkey, Spain, and Switzerland) with a total of 77 participants. We present a detailed description of the data collected from one of the studies aimed at measuring walkability around three different university campuses. The analysis of the data shows that walkability can be assessed using informa- tion from the sensors in the smartphones and results from surveys answered by participants. In addition, we analyze issues about data sharing and privacy awareness.

Abstract

Walking is a fundamental part of a physically active lifestyle, it is one of everyday activities that positively impacts health and wellbeing. In this paper we describe the challenges and experiences of conducting a sensing campaign in the wild. We make use of mk-sense; a software platform to facilitate the deployment of collaborative sensing campaigns. We elaborate on two cross-cultural studies conducted in four different countries (Mexico, Turkey, Spain, and Switzerland) with a total of 77 participants. We present a detailed description of the data collected from one of the studies aimed at measuring walkability around three different university campuses. The analysis of the data shows that walkability can be assessed using informa- tion from the sensors in the smartphones and results from surveys answered by participants. In addition, we analyze issues about data sharing and privacy awareness.

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Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:06 Faculty of Arts > Institute of Psychology
Dewey Decimal Classification:150 Psychology
Language:English
Date:2017
Deposited On:19 Dec 2017 16:11
Last Modified:30 Nov 2018 01:01
Publisher:Springer
ISSN:1868-5137
Additional Information:The final publication is available at Springer via http://dx.doi.org/10.1007/s12652-017-0642-x
OA Status:Green
Publisher DOI:https://doi.org/10.1007/s12652-017-0642-x
Project Information:
  • : FunderFP7
  • : Grant ID316337
  • : Project TitleUBIHEALTH - Exchange of Excellence in Ubiquitous Computing Technologies to Address Healthcare Challenges

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