On Heterogeneity in Mobile Sensing Applications Aiming at Representative Data Collection

Research output: Contribution to book/anthology/report/proceedingArticle in proceedingsResearchpeer-review

  • Henrik Blunck, Denmark
  • Niels Olof Bouvin
  • Tobias Franke, German Research Center for Artificial Intelligence, Germany
  • Kaj Grønbæk
  • Mikkel Baun Kjærgaard, Denmark
  • Paul Lukowicz, German Research Center for Artificial Intelligence, Germany
  • Markus Wüstenberg, Denmark
Gathering representative data using mobile sensing to answer research questions is becoming increasingly popular, driven by growing ubiquity and sensing capabilities of mobile devices. However, there are pitfalls along this path, which introduce heterogeneity in the gathered data, and which are rooted in the diversity of the involved device platforms, hardware, software versions and participants. Thus, we, as a research community, need to establish good practices and methodologies for addressing this issue in order to help ensure that, e.g., scientific results and policy changes based on collective, mobile sensed data are valid. In this paper, we aim to inform researchers and developers about mobile sensing data heterogeneity and ways to combat it. We do so via distilling a vocabulary of underlying causes, and via describing their effects on mobile sensing---building on experiences from three projects within citizen science, crowd awareness and trajectory tracking.
Original languageEnglish
Title of host publicationProceedings of the 2013 ACM Conference on Pervasive and Ubiquitous Computing Adjunct Publication, UbiComp '13 Adjunct
EditorsFriedemann Mattern , Silvia Santini
Number of pages13
PublisherAssociation for Computing Machinery
Publication year2013
Pages1087-1098
ISBN (print)978-1-4503-2215-7
DOIs
Publication statusPublished - 2013
EventACM Conference on Pervasive and Ubiquitous Computing Adjunct Publication - Zurich, Switzerland
Duration: 8 Sep 201312 Sep 2013

Conference

ConferenceACM Conference on Pervasive and Ubiquitous Computing Adjunct Publication
LandSwitzerland
ByZurich
Periode08/09/201312/09/2013

    Research areas

  • Mobile Sensing, Heterogeneity, Data Collection, Representativeness

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