Skip to main content

Investigating the Use of a Mobile Crowdsourcing Application for Public Engagement in a Smart City

  • Conference paper
  • First Online:
Digital Libraries: Knowledge, Information, and Data in an Open Access Society (ICADL 2016)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10075))

Included in the following conference series:

Abstract

It has been reported that crowdsourcing applications are valuable to support smart city initiatives. However, there still remains a gap in using such applications to empower and engage city residents This study introduces a mobile crowdsourcing platform prototype known as My Smart Mobile City app (i.e. MSMC) that aims to help cities manage public engagement with their residents. The aim of apps like MSMC is to help cities to collect useful local information by empowering and motivating residents to contribute content related to the city’s public spaces. Hence, motivations driving the use of MSMC will be explored. Preliminary results and implications of our work are discussed.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Schneider, D., deSouza, J., Lucas, E.M.: Towards a typology of social news apps from a Crowd Computing perspective. In: 2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC), pp. 1134–1140 (2014)

    Google Scholar 

  2. Doan, A., Ramakrishnan, R., Halevy, A.Y.: Crowdsourcing systems on the world-wide web. Commun. ACM 54, 86–96 (2011)

    Google Scholar 

  3. Sherky, C.: Here comes everybody: The power of organizing without organizations, p. 106. Penguin, New York (2008)

    Google Scholar 

  4. Brabham, D.C.: Motivations for participation in a crowdsourcing application to improve public engagement in transit planning. J. Appl. Commun. Res. 40, 307–328 (2012)

    Google Scholar 

  5. Surowiecki, J.: The Wisdom of Crowds: Why the Many are Smarter than the Few and How Collective Wisdom Shapes Business, Economies, Societies, and Nations. Doubleday, New York (2004)

    Google Scholar 

  6. Haklay, M.: How good is volunteered geographical information? A comparative study of OpenStreetMap and Ordnance Survey datasets. Environ. Plann. 37, 682–703 (2010)

    Google Scholar 

  7. Estellés-Arolas, E., González-Ladrón-De-Guevara, F.: Towards an integrated crowdsourcing definition. J. Inf. Sci. 38, 189–200 (2012)

    Google Scholar 

  8. Benouaret, K., Valliyur-Ramalingam, R., Charoy, F.: CrowdSC: building smart with large scale citizen participation. IEEE Internet Comput. 17, 57 (2013)

    Google Scholar 

  9. Malone, T.W., Laubacher, R., Dellarocas, C.: Harnessing crowds: mapping the genome of collective intelligence, MIT Sloan Res. 51, 21–31 (2009)

    Google Scholar 

  10. Goh, D.H., Pe-Than, E.P.P., Lee, C.S.: Games for crowdsourcing mobile content: an analysis of contribution patterns. In: JCDL Joint Conference of Digital Libraries, pp. 249–250. ACM, New York (2016)

    Google Scholar 

  11. Morris, R.R., McDuff, D.: Crowdsourcing techniques for affective computing. In: Calvo, R.A., D’Mello, S.K., Gratch, J., Kappas, A. (eds.) The Oxford Handbook of Affective Computing, pp. 384–394. Oxford University Press, New York (2015)

    Google Scholar 

  12. Griffinger, K., Gertner, C., Kramar, H., Kalasek, R., Pichler-milanovic, N., & Meijers, E., Smart cities: ranking of European medium-sized cities. Vienna University of Technology (2007). http://www.smartcities.eeu/download/smart_cities_fianl_report.pdf. Accessed 17 Jan 2016

  13. Goh, D.H., Lee, C.S.: Perceptions, quality and motivational needs in image tagging human computation games. J. Inf. Sci. 37, 515–531 (2011)

    Google Scholar 

Download references

Acknowledgement

This work was supported by NTU MOE/Tier 1 grant RG149/15.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Chei Sian Lee .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer International Publishing AG

About this paper

Cite this paper

Lee, C.S., Anand, V., Han, F., Kong, X., Goh, D.HL. (2016). Investigating the Use of a Mobile Crowdsourcing Application for Public Engagement in a Smart City. In: Morishima, A., Rauber, A., Liew, C. (eds) Digital Libraries: Knowledge, Information, and Data in an Open Access Society. ICADL 2016. Lecture Notes in Computer Science(), vol 10075. Springer, Cham. https://doi.org/10.1007/978-3-319-49304-6_13

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-49304-6_13

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-49303-9

  • Online ISBN: 978-3-319-49304-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics