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Creek watch: pairing usefulness and usability for successful citizen science

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Published:07 May 2011Publication History

ABSTRACT

Citizen science projects can collect a wealth of scientific data, but that data is only helpful if it is actually used. While previous citizen science research has mostly focused on designing effective capture interfaces and incentive mechanisms, in this paper we explore the application of HCI methods to ensure that the data itself is useful. To provide a focus for this exploration we designed and implemented Creek Watch, an iPhone application and website that allow volunteers to report information about waterways in order to aid water management programs. Working with state and local officials and private groups involved in water monitoring, we conducted a series of contextual inquiries to uncover what data they wanted, what data they could immediately use, and how to most effectively deliver that data to them. We iteratively developed the Creek Watch application and website based on our findings and conducted evaluations of it with both contributors and consumers of water data, including scientists at the city water resources department. Our study reveals that the data collected is indeed useful for their existing practices and is already in use in water and trash management programs. Our results suggest the application of HCI methods to design the data for the end users is just as important as their use in designing the user interface.

References

  1. Beyer, H. & Holtzblatt, K. (1988), Contextual Design: Defining Customer-Centered Systems. San Francisco: Morgan Kaufmann. ISBN: 1-55860-411-1. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. California EPA (2010), Surface Water Ambient Monitoring Program: Bioassessment Standard Operating Procedures. swamp.mpsl.mlml.calstate.edu/resources-and-downloads/standard-operating-procedure.Google ScholarGoogle Scholar
  3. California EPA (2004) Surface Water Ambient Monitoring Program: Rapid Trash Assessment Protocol. http://www.swrcb.ca.gov/rwqcb2/water_issues/programs/stormwater/muni/mrp/WaterBoard%20Trash%20Assessment%20Method%20SWAMP_v8.pd.Google ScholarGoogle Scholar
  4. City of Knoxville (2010), Neighborhood Codes Enforcement. www.ci.knoxville.tn.us/services/codes/.Google ScholarGoogle Scholar
  5. Cohn, J. P. (2008), Citizen Science: Can Volunteers Do Real Research? Bioscience 58:192--197.Google ScholarGoogle ScholarCross RefCross Ref
  6. Cornell Lab of Ornithology (2010), Mission: Citizen Science. www.birds.cornell.edu/netcommunity/page.aspx?pid=1664. September 2010.Google ScholarGoogle Scholar
  7. Cuff, D., Hansen, M. & Kang. J. (2008), Urban sensing: out of the woods, In Proc. Comm. of the ACM 24--33. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. Environmental Protection Agency 2006 Section 303(d), List Fact Sheet for California. EPA Office of Water, ,oaspub.epa.gov/tmdl/state_rept.control?p_state=C.Google ScholarGoogle Scholar
  9. Environmental Protection Agency (2010), TMDL Program Results Analysis Fact Sheet # EPA841-F-10-002. EPA Office of Water, January 2010. www.epa.gov/waters/doc/factsheets/303d_impaired_waters_gis.pd.Google ScholarGoogle Scholar
  10. Gonsalves, A., (2010) Android Phones Steal Market Share. InformationWeek www.informationweek.com/news/showArticle.jhtml?articleID=224201881.Google ScholarGoogle Scholar
  11. Howe, J. (2009), Crowdsourcing: Why the Power of the Crowd Is Driving the Future of Business. Crown Business, ISBN-13: 978-0307396211. Google ScholarGoogle ScholarDigital LibraryDigital Library
  12. Irwin, A. (1995), Citizen Science: A Study of People, Expertise and Sustainable Development. Routledge.Google ScholarGoogle Scholar
  13. Kim, S., & Paulos, E. (2010), inAir: Sharing Indoor Air Quality Measurements and Visualizations. In Proc. CHI 2010. 11861--1870. Google ScholarGoogle ScholarDigital LibraryDigital Library
  14. Lane, N, Miluzzo, E, Lu, H., Peebles, D., Choudhury, T., Campbell, A. (2009), A Survey of Mobile Phone Sensing. Ad Hoc and Sensor Networks. IEEE Comm. Sept 2010. Google ScholarGoogle ScholarDigital LibraryDigital Library
  15. Luther, K., Counts, S., Stecher, K. B., Hoff, A., Johns, P. (2009), Pathfinder: an online collaboration environment for citizen scientists. In Proc. CHI 2009, 239--248. Google ScholarGoogle ScholarDigital LibraryDigital Library
  16. Maisonneuve, N., Stevens, M., Neilssen, M, Hanappe, P, Steels, L. (2009), Citizen noise pollution monitoring. In Proc. International Conference on Digital Government Research 2009, 96--103. Google ScholarGoogle ScholarDigital LibraryDigital Library
  17. Moore, S., Cover, M., & Senter, A. (2007), Rapid Trash Assessment Method Applied to Waters of the San Francisco Bay Region: Trash Measurement in Streams. California Environmental Protection Agency, www.swrcb.ca.gov/rwqcb2/docs/swampthrashreport.pd.Google ScholarGoogle Scholar
  18. National Audubon Society (2010), Christmas Bird Count. birds.audubon.org/history-christmas-bird-count.Google ScholarGoogle Scholar
  19. Open Plains (2010), Open 311: A collaborative effort to create an open standard for 311 services. open311.org.Google ScholarGoogle Scholar
  20. Paulos, E., Honicky, R., & Hooker, B. (2008), Citizen Science: Enabling Participatory Urbanism. Handbook of Research on Urban Informatics: The Practice and Promise of the Real-Time City. IGI Global 2008.Google ScholarGoogle Scholar
  21. Paxton, M. & Benford, S. (2009), Experiences of participatory sensing in the wild, In Proc. Ubicomp, 2009 265--274. Google ScholarGoogle ScholarDigital LibraryDigital Library
  22. Shirky, C. (2010), Cognitive Surplus: Creativity and Generosity in a Connected Age. Penguin Press HC, June 10, 2010. ISBN-13: 978-1594202537.Google ScholarGoogle Scholar
  23. Song, D. & Goldberg, K.(2007), Networked robotic cameras for collaborative observation of natural environments. Robotics Research. Springer 2007.Google ScholarGoogle Scholar
  24. Sukhatme, G. (2009), Air Visibility Monitoring. robotics.usc.edu/~mobilesensing/visibility/MobileAirQualitySensing.pdf.Google ScholarGoogle Scholar
  25. Weiner, J. F. (2010), Swimmable, Drinkable? California Coastkeeper Alliance, May 12, 2010. www.cacoastkeeper.org/news/fishable-swimmable-drinkabl.Google ScholarGoogle Scholar
  26. Whitney, L. (2010). Cell phone subscriptions to hit 5 billion globally. CNN. reviews.cnet.com/8301-13970_7-10454065-78.html.Google ScholarGoogle Scholar
  27. Willet, W., Aoki, P., Kumar, N., Subramanian, S. and Woodruff, A. (2010), Common Sense Community: Scaffolding Mobile Sensing and Analysis for Novice Users. In Proc. Pervasive 2010, 301--318. Google ScholarGoogle ScholarDigital LibraryDigital Library

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    • Published in

      cover image ACM Conferences
      CHI '11: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
      May 2011
      3530 pages
      ISBN:9781450302289
      DOI:10.1145/1978942

      Copyright © 2011 ACM

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      Publication History

      • Published: 7 May 2011

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