skip to main content
10.1145/2370216.2370376acmconferencesArticle/Chapter ViewAbstractPublication PagesubicompConference Proceedingsconference-collections
research-article

Engaging participants for collaborative sensing of human mobility

Published:05 September 2012Publication History

ABSTRACT

Human mobility has been widely studied for a variety of purposes, from urban planning to the study of spread of diseases. These studies depend heavily on large datasets, and recent advances in collaborative sensing and WiFi infrastructures have created new opportunities for generating that data. However, these methods and procedures require the participation of a significant community of users through extended periods of time. In this paper, we address the problem of how to engage people to participate in the data collection process. We have conducted a user study on the utilisation of a mobile collaborative sensing application. We have found that users react positively to campaigns, but it is difficult to keep them participating for long periods of time. We also hypothesise that one must close the loop, rewarding the participants with services based on the collected data, eventually showing that there is added value obtainable from crowd sourcing.

References

  1. Gonzalez, M., Hidalgo, C. A. and Barabasi, A.-L. Understanding individual human mobility patterns. Nature 453, 7196 (2008), 779--782.Google ScholarGoogle ScholarCross RefCross Ref
  2. Abdelzaher, T., et al. Mobiscopes for Human Spaces. IEEE Computing 6, 2 (2007), 20--29. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. Lee, J.-S. and Hoh, B. Sell your experiences: a market mechanism based incentive for participatory sensing. In Proc. Percom 2010, IEEE Press (2010), 60--68.Google ScholarGoogle ScholarCross RefCross Ref
  4. Reddy, S. et al. Examining Micro-Payments for Participatory Sensing Data Collections. In Proc. Ubicomp 2010, ACM Press (2010), 33--36. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. Lane, N. D., Eisenman, S. B., Musolesi, M., Miluzzo, E. and Campbell, A. T. Urban sensing systems: opportunistic or participatory? In Proc. Mobile computing systems and applications 2008, ACM Press (2008), 11--16. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. van der Spek, S. Mapping Pedestrian Movement: Using Tracking Technologies in Koblenz. Lecture Notes in Geoinformation and Cartography (2009), 95--118.Google ScholarGoogle Scholar
  7. Klepeis, N. E., Nelson, W. C., Ott, W. R., Robinson, J. P., Tsang, A. M., Switzer, P., Behar, J. V., Hern, S. C. et al. The national human activity pattern survey (NHAPS): a resource for assessing exposure to environmental pollutants. Journal of Exposure Analysis and Environmental Epidemiology 11, 3 (2011), 231--252.Google ScholarGoogle Scholar
  8. Brockmann, D. and Theis, F. Money Circulation, Trackable Items, and the Emergence of Universal Human Mobility Patterns. IEEE Pervasive 7, 4 (2008), 28--35. Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. Lane, N. D. et al. A Survey on Mobile Phone Sensing. IEEE Communications Magazine 48, 9 (2010), 140--150. Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. Shin, M., Cornelius, C., Peebles, D., Kapadia, A., Kotz, D. and Triandopoulo, N. AnonySense: A system for anonymous opportunistic sensing, Pervasive Mob. Comput. 7, 1 (2011), 16--30. Google ScholarGoogle ScholarDigital LibraryDigital Library

Index Terms

  1. Engaging participants for collaborative sensing of human mobility

      Recommendations

      Comments

      Login options

      Check if you have access through your login credentials or your institution to get full access on this article.

      Sign in
      • Published in

        cover image ACM Conferences
        UbiComp '12: Proceedings of the 2012 ACM Conference on Ubiquitous Computing
        September 2012
        1268 pages
        ISBN:9781450312240
        DOI:10.1145/2370216

        Copyright © 2012 ACM

        Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

        Publisher

        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 5 September 2012

        Permissions

        Request permissions about this article.

        Request Permissions

        Check for updates

        Qualifiers

        • research-article

        Acceptance Rates

        UbiComp '12 Paper Acceptance Rate58of301submissions,19%Overall Acceptance Rate764of2,912submissions,26%

        Upcoming Conference

      PDF Format

      View or Download as a PDF file.

      PDF

      eReader

      View online with eReader.

      eReader