Abstract
This paper raises questions about the way in which participation and recruitment are framed within participatory sensing. The text outlines a number of assumptions of participatory sensing and using a case study, examines the impacts of these assumptions on the practices of participatory sensing. The case study involves a mobile phone app that monitors ambient sound levels and creates noise maps. The study describes the conceptual and practical challenges of recruiting people and the need for an issue-centred campaign that encases the app inside a wider framework of local environmental issues. Based on observations from the case study, the paper proposes a pragmatic approach to sensing that focuses on designing sensing assemblages that support local issues of public concern. The paper argues that an issue-centred approach enables sensing that allows both machines and humans to participate in an equitable way that maximises their unique sensing abilities.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Amintoosi, H., Kanhere, S.S.: A trust-based recruitment framework for multi-hop social participatory sensing. In: Proceedings of the 9th IEEE International Conference on Distributed Computing in Sensor Systems (IEEE DCOSS 2013), pp. 266–273. IEEE, Washington, DC, USA (2013)
Angus, A., Papadogkonas, D., Papamarkos, G., Roussos, G., Lane, G., Martin, K., West, N., Thelwall, S., Sujon, Z., Silverstone, R.: Urban social tapestries. Pervasive Comput. 7(4), 44–51 (2008). doi:10.1109/MPRV.2008.84
Barnett, C., Bridge, G.: Geographies of radical democracy: agonistic pragmatism and the formation of affected interests. Ann. Assoc. Am. Geogr. 103(4), 1022–1040 (2013). doi:10.1080/00045608.2012.660395
Bhadauria, D., Tekdas, O., Isler, V.: Robotic data mules for collecting data over sparse sensor fields. J. Field Rob. 28(3), 388–404 (2011)
Björgvinsson, E., Ehn, P., Hillgren, P.A.: Agonistic participatory design: working with marginalised social movements. CoDesign 8(2–3), 127–144 (2012)
Brabham, D.C.: Crowdsourcing as a model for problem solving: an introduction and cases. Convergence Int. J. Res. New Media Technol. 14(1), 75–90 (2008). doi:10.1177/1354856507084420
Burke, J., Estrin, D., Hansen, M., Parker, A., Ramanathan, N., Reddy, S., Srivastava, M.B.: Participatory sensing. In: Workshop on World-Sensor-Web (WSW’06): Mobile Device Centric Sensor Networks and Applications, pp. 117–134. Center for Embedded Network Sensing, UC Los Angeles, ACM (2006)
Campbell, A.T., Eisenman, S.B., Lane, N.D., Miluzzo, E., Peterson, R.A.: People-centric urban sensing. In: Proceedings of the 2nd Annual International Workshop on Wireless Internet - WICON ’06, pp. 18–31. ACM, New York (2006). doi:10.1145/1234161.1234179
Chamberlain, A., Paxton, M., Glover, K., Flintham, M., Price, D., Greenhalgh, C., Benford, S., Tolmie, P., Kanjo, E., Gower, A., Gower, A., Woodgate, D., Fraser, D.S.: Understanding mass participatory pervasive computing systems for environmental campaigns. Pers. Ubiquit. Comput. 18(7), 1775–1792 (2013). doi:10.1007/s00779-013-0756-x
Chambers, R.: The origins and practice of participatory appraisal. World Dev. 22(7), 953–969 (1994)
Cohn, J.: Citizen science: can volunteers do real research? BioScience 58(3), 192–197 (2008)
de Bruyne, P., Gielen, P. (eds.): Community Art. The Politics of Trespassing. Valiz, Amsterdam (2009)
Dewey, J.: The Public and Its Problems. Swallow Press and Ohio University Press, Athens (1927)
D’Hondt, 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 (2013). doi:10.1016/j.pmcj.2012.09.002
Dickinson, J.L., Zuckerberg, B., Bonter, D.N.: Citizen science as an ecological research tool: challenges and benefits. Annu. Rev. Ecol. Evol. Syst. 41, 149–172 (2010). doi:10.1146/annurev-ecolsys-102209-144636
Eisenman, S.B., Lane, N.D., Miluzzo, E., Peterson, R.A., Ahn, G.s., Campbell, A.T.: MetroSense project: people-centric sensing at scale. In: Proceedings of Workshop on World-Sensor-Web (WSW 2006), pp. 6–11. ACM, Boulder, USA (2006)
Ellis, R.: Jizz and the joy of pattern recognition: virtuosity, discipline and the agency of insight in UK naturalists’ arts of seeing. Soc. Stud. Sci. 41(6), 769–790 (2011). doi:10.1177/0306312711423432. http://sss.sagepub.com/cgi/doi/10.1177/0306312711423432
Estrin, D.: Reflections on wireless sensing systems: from ecosystems to human systems. In: Radio and Wireless Symposium, 2007 IEEE, pp. 1–4. IEEE, Washington (2007)
EveryAware: EveryAware: enhancing environmental awareness through social information technologies white paper (2011). http://www.everyaware.eu/resources/deliverables/D6_1.pdf
EveryAware: about everyaware and widenoise (2012). http://cs.everyaware.eu/event/widenoise/about
Forrest, B.: Humans as sensors (2010). http://www.lbxjournal.com/articles/humans-sensors/260057
Ganti, R.K., Tsai, Y.E., Abdelzaher, T.F.: SenseWorld: towards cyber-physical social networks. In: IPSN ’08 Proceedings of the 7th International Conference on Information Processing in Sensor Networks, pp. 563–564. IEEE, Washington, DC, USA (2008). doi:10.1109/IPSN.2008.48
HACAN ClearSkies: HACAN ClearSkies. http://www.hacan.org.uk/ (2016)
Hepple, L.W.: Geography and the pragmatic tradition: the threefold engagement. Geoforum 39(4), 1530–1541 (2008). doi:10.1016/j.geoforum.2008.06.002
Honicky, R.E.: Towards a societal scale, mobile sensing system. Ph.D. thesis, University of California at Berkeley (2011)
Jeremijenko, N.: Feral robotic dogs (2002). http://www.nyu.edu/projects/xdesign/feralrobots/
Kamel Boulos, M.N., Resch, B., Crowley, D.N., Breslin, J.G., Sohn, G., Burtner, R., Pike, W.A., Jezierski, E., Chuang, K.Y.S.: Crowdsourcing, citizen sensing and sensor web technologies for public and environmental health surveillance and crisis management: trends, OGC standards and application examples. Int. J. Health Geogr. 10(67), 1–29 (2011). doi:10.1186/1476-072X-10-67
Kittur, A., Chi, E., Suh, B.: Crowdsourcing user studies with mechanical Turk. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 453–456. ACM, New York, USA (2008). doi:10.1145/1357054.1357127
Krause, A., Horvitz, E., Kansal, A., Zhao, F.: Toward community sensing. In: 2008 International Conference on Information Processing in Sensor Networks (IPSN 2008), pp. 481–492. IEEE, Washington, DC, USA (2008). doi:10.1109/IPSN.2008.37
Lan, K.c., Wang, H.y.: On providing incentives to collect road traffic information. In: International Wireless Communications & Mobile Computing Conference (IWCMC’13). IEEE, Washington, DC, USA (2013)
Letts, P.: The rise of and future of crowdsourcing (2006). http://www.internetworld.co.uk/page.cfm/Link=196/
Lorimer, J.: Counting corncrakes: the affective science of the UK corncrake census. Soc. Stud. Sci. 38(3), 377–405 (2008). doi:10.1177/0306312707084396. http://sss.sagepub.com/cgi/doi/10.1177/0306312707084396
Luo, T., Tham, C.K.: Fairness and social welfare in incentivizing participatory sensing. In: 2012 9th Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks (SECON), pp. 425–433. IEEE, Washington, DC, USA (2012). doi:10.1109/SECON.2012.6275807
Marres, N.: The issues deserve more credit: pragmatist contributions to the study of public involvement in controversy. Soc. Stud. Sci. 37(5), 759–780 (2007). doi:10.1177/0306312706077367
Massung, E., Coyle, D., Cater, K.: Using crowdsourcing to support pro-environmental community activism. In: Proceeding CHI ’13 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 371–380. ACM, New York (2013)
Nold, C.: Bio mapping (2004). www.biomapping.net
Nov, O., Arazy, O., Anderson, D.: Technology-mediated citizen science participation: a motivational model. In: Proceedings of the Fifth International AAAI Conference on Weblogs and Social Media, pp. 249–256 (2011)
Paulos, E., Honicky, R.J.R., Hooker, B.: Citizen science: enabling participatory urbanism. In: Foth, M. (ed.) Handbook of Research on Urban Informatics: The Practice and Promise of the Real-Time City, pp. 414–436. Idea Group Inc, New York (2009). doi:10.1080/01944360903167661
Perkins, C.: Community mapping. Cartogr. J. 44(2), 127–137 (2007). doi:10.1179/000870407X213440
Reason, P., Torbert, W.: The action turn: toward a transformational social science. Concepts Transformation 6(1), 1–37 (2001). doi:10.1075/cat.6.1.02rea
Reddy, S., Estrin, D., Srivastava, M.: Recruitment Framework for Participatory Sensing Data Collections. In: Floreen, P., Kruger, A., Spasojevic, M. (eds.) 8th International Conference, Pervasive 2010, pp. 138–155. Springer, Berlin (2010)
Reddy, S., Shilton, K., Burke, J., Estrin, D., Hansen, M., Srivastava, M.: Using context annotated mobility profiles to recruit data collectors in participatory sensing. In: Choudhury, T., Quigley, A., Strang, T., Suginuma, K. (eds.) 4th International Symposium on Location and Context Awareness, pp. 52–69. Springer, Berlin (2009)
Resch, B.: People as sensors and collective sensing-contextual observations complementing geo-sensor network measurements. In: Krisp, J.M. (ed.) Progress in Location-Based Services, Lecture Notes in Geoinformation and Cartography, pp. 391–406. Springer, Berlin (2013). doi:10.1007/978-3-642-34203-5
Rotman, D., Preece, J., Hammock, J., Procita, K., Hansen, D., Parr, C., Lewis, D., Jacobs, D.: Dynamic changes in motivation in collaborative citizen-science projects. In: Proceedings of the ACM 2012 conference on Computer Supported Cooperative Work, pp. 217–226. ACM, New York (2012)
Sakaki, T., Okazaki, M., Matsuo, Y.: Earthquake shakes twitter users: real-time event detection by social sensors. In: Proceeding WWW ’10 Proceedings of the 19th International Conference on World Wide Web, pp. 851–860. ACM, New York (2009)
Shah, R.C., Roy, S., Jain, S., Brunette, W.: Data MULEs: modeling and analysis of a three-tier architecture for sparse sensor networks. Ad Hoc Netw. 1(2–3), 215–233 (2003). doi:10.1016/S1570-8705(03)00003-9
Sheth, A.: Citizen sensing, social signals, and enriching human experience. IEEE Internet Comput. 13(4), 87–92 (2009). doi:10.1109/MIC.2009.77
Silvertown, J.: A new dawn for citizen science. Trends Ecol. Evol. 24(9), 467–71 (2009). doi:10.1016/j.tree.2009.03.017
Srivastava, M., Abdelzaher, T., Szymanski, B.: Human-centric sensing. Philos. Trans. R. Soc. 370(1958), 176–197 (2012). doi:10.1098/rsta.2011.0244
Tham, C.k., Luo, T.: Quality of contributed service and market equilibrium for participatory sensing. In: 2013 IEEE International Conference on Distributed Computing in Sensor Systems (DCOSS), pp. 133–140. IEEE, Washington (2013)
Tilak, S.: Real-world deployments of participatory sensing applications: current trends and future directions. ISRN Sens. Netw. 2013, Article ID 583165, 8 pp. (2013). doi:10.1155/2013/583165
Tseng, Y.C., Lai, W.T., Huang, C.F., Wu, F.J.: Using mobile mules for collecting data from an isolated wireless sensor network. In: 2010 39th International Conference on Parallel Processing (ICPP), pp. 673–679. IEEE, Washington (2010). doi:10.1109/ICPP.2010.75
Tuncay, G., Benincasa, G., Helmy, A.: Participant recruitment and data collection framework for opportunistic sensing: a comparative analysis. In: CHANTS ’13 Proceedings of the 8th ACM MobiCom Workshop on Challenged Networks, pp. 25–30. ACM, New York (2013)
Wang, D., Abdelzaher, T., Kaplan, L., Aggarwal, C.: On quantifying the accuracy of maximum likelihood estimation of participant reliability in social sensing. In: 8th International Workshop on Data Management for Sensor Networks (DMSN 2011), pp. 7–12. ACM, Seattle (2011)
WideTag: History (2012). http://www.widetag.com/widenoise/history
Wu, F.J., Huang, C.F., Tseng, Y.C.: Data gathering by mobile mules in a spatially separated wireless sensor network. In: 2009 Tenth International Conference on Mobile Data Management: Systems, Services and Middleware, pp. 293–298. IEEE, Washington (2009). doi:10.1109/MDM.2009.43
Wynne, B.: Misunderstood misunderstanding: social identities and public uptake of science. Public Underst. Sci. 1, 281–304 (1992). doi:10.1088/0963-6625/1/3/004
Yang, H., Zhang, J., Roe, P.: Using reputation management in participatory sensing for data classification. Procedia Comput. Sci. 5, 190–197 (2011). doi:10.1016/j.procs.2011.07.026
Yang, H., Zhang, J., Roe, P.: Reputation modelling in citizen science for environmental acoustic data analysis. Soc. Netw. Anal. Min. 3(3), 419–435 (2013). doi:10.1007/s13278-012-0087-3
Yang, S., Adeel, U., Mccann, J.A.: Selfish mules: social profit maximization in sparse sensornets using rationally-selfish human relays. IEEE J. Sel. Areas Commun. 31(6), 1124–1134 (2013)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer International Publishing Switzerland
About this chapter
Cite this chapter
Nold, C., Francis, L. (2017). Participatory Sensing: Recruiting Bipedal Platforms or Building Issue-centred Projects?. In: Loreto, V., et al. Participatory Sensing, Opinions and Collective Awareness. Understanding Complex Systems. Springer, Cham. https://doi.org/10.1007/978-3-319-25658-0_11
Download citation
DOI: https://doi.org/10.1007/978-3-319-25658-0_11
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-25656-6
Online ISBN: 978-3-319-25658-0
eBook Packages: Physics and AstronomyPhysics and Astronomy (R0)