Usability and Interaction Dimensions of Participatory Noise and Ecological Monitoring

  • Charlene Jennett
  • Eleonora Cognetti
  • Joanne Summerfield
  • Muki Haklay
Chapter
Part of the Understanding Complex Systems book series (UCS)

Abstract

The integration of sensors in smartphones has transformed personal mobile phones, from tools primarily meant for communication purposes, into instruments that can sense or collect information about the surrounding environment (Lane et al. 2010). There are several mobile apps that allow ordinary members of the public (non-professionals) to collect fine-grained data about their environment and to contribute to real research. By involving citizens in environmental monitoring activities this helps to raise their awareness of environmental issues (Becker et al. 2013). However there are also challenges in the use of such apps. The lower-end sensors for mobile phones do not give the same level of data accuracy as specialised devices. The data is being collected by ‘inexpert’ citizens, which may add to perceptions of the data being inaccurate. Also, in order to apply complex statistical models, the data needs to be collected in mass quantities. This raises two questions about the citizens involved: (1) what is their experience of using the app and (2) what factors motivate them to participate?

References

  1. Becker, M., Caminiti, S., Fiorella, D., Francis, L., Gravino, P., Haklay, M., Hotho, A., Loreto, V., Mueller, J., Ricchiuti, F., Servedio, V.D.P., Sirbu, A., Tria, F.: Awareness and learning in participatory noise sensing. PLoS One 8(12), e81638 (2013). doi:10.1371/journal.pone.0081638 ADSCrossRefGoogle Scholar
  2. Braun, V., Clarke, V.: Using thematic analysis in psychology. Qual. Res. Psychol. 3(2), 77–101 (2006)CrossRefGoogle Scholar
  3. D’Hont, E., Stevens, M., Jacobs, A.: Participatory noise mapping works! An evaluation of participatory sensing as an alternative to standard techniques for environmental monitoring. Pervasive Mob. Comput. 9(5), 681–694 (2012)Google Scholar
  4. European Commission: Green Paper on Future Noise. (COM(96) 540) (1996)Google Scholar
  5. European Parliament and Council Directive 2002/49/EC relating to the assessment and management of environmental noise, Official Journal of the European Communities, L 189, pp. 12–26 (2002)Google Scholar
  6. Fogg, B.J.: A behavior model for persuasive design. In: Proceedings of the 4th International Conference on Persuasive Technology, Apr 26, 2009–Apr 29, 2009 Claremont, USA (article 40) (2009)Google Scholar
  7. Lane, N.D., Miluzzo, E., Lu, H., Peebles, D., Choudhury, T., Campbell, A.T.: A survey of mobile phone sensing. IEEE Commun. Mag. 48(9), 140–150 (2010)CrossRefGoogle Scholar
  8. Rogers, Y.: Interaction design gone wild: striving for wild theory. Interactions 18(4), 58–62 (2011)CrossRefGoogle Scholar
  9. Rotman, D., Preece, J., Hammock, J.: Dynamic changes in motivation in collaborative citizen-science projects. In: Proceedings of the ACM 2012 conference on Computer Supported Cooperative Work, February 2012, ACM, pp. 217–227 (2012)Google Scholar
  10. Stevens, M.: Community memories for sustainable societies: the case of environmental noise. Doctoral Dissertation, Vrije Universitetit Brussel (2012)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2017

Authors and Affiliations

  • Charlene Jennett
    • 1
  • Eleonora Cognetti
    • 1
  • Joanne Summerfield
    • 1
  • Muki Haklay
    • 1
  1. 1.UCL Interaction CentreUniversity College London (UCL)LondonUK

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