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Dusting for science: motivation and participation of digital citizen science volunteers

Published:08 February 2011Publication History

ABSTRACT

Digital citizen science offers a low-cost way to strengthen the scientific infrastructure, and engage members of the public in science. It is based on two pillars:(1)a technological pillar, which involves developing computer systems to manage large amounts of distributed resources, and (2) a motivational pillar, which involves attracting and retaining volunteers who would contribute their skills, time, and effort to a scientific cause. While the technological dimension has been widely studied, the motivational dimension received little attention to date. To address this gap, we surveyed volunteers at Stardust@home a digital citizen science project, in which volunteers classify online images from NASA's Stardust spacecraft. We found that collective and intrinsic motivations are the most salient motivational factors, whereas reward motives seem to be less relevant. We also found that intrinsic and norm-oriented motives are most strongly associated with participation intentions, which were, in turn, found to be associated with participation effort. Implications for research and practice are discussed.

References

  1. Anderson, D., Cobb, J., Korpela, E., Lebofsky, M., Werthimer, D. (2002). SETI@home: An Experiment in Public-Resource Computing. Communications of the ACM 45, 11, 56--61. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Anderson, D. (2006). Volunteer computing: Planting the flag. PCGrid 2007 Workshop, Long Beach, CA, USA, March 2007.Google ScholarGoogle Scholar
  3. Anderson D. and Fedak. G. (2006). The computational and storage potential of volunteer computing. CCGRID'06, 2006. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. Bhattacherjee, A. (2001). Understanding information systems continuance: an expectation-confirmation model. MIS Quarterly 25, 3, 351--370. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. Bonetta L. Tough Challenges for the Next NIH Director (2008) Cell 135 (4), pp. 583--585.Google ScholarGoogle Scholar
  6. Burke, M., Marlow, C., and Lento, T. (2009). Feed me: motivating newcomer contribution in social network sites. Proc. CHI '09. 945--954. Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. Butler, B., Sproull, L., Kiesler, S., and Kraut, R. (2002). Community effort in online groups: Who does the work and why? In S. Weisband and L. At water (Eds.) Leadership at a distance. Mahwah, NJ: Lawrence Erlbaum.Google ScholarGoogle Scholar
  8. Chin, W. (1998). The partial least squares approach for structural equation modeling. In: Marcoulides G, ed. Modern Methods for Business Research. Lawrence Erlbaum Associates.Google ScholarGoogle Scholar
  9. Chin, W., Marcolin B, Newsted P. (2003). A partial least squares latent variable modeling approach for measuring interaction effects. Information Systems Research 14(2): 189--217. Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. Cooper, S., Khatib, F., Treuille, A., et al. (2010). Predicting protein structures with a multiplayer online game. Nature 466, 756--760.Google ScholarGoogle ScholarCross RefCross Ref
  11. Das R, Baker D. (2007) Automated de novo prediction of native-like RNA tertiary structures. Proceedings of the National Academies of Science; 104:14664--69.Google ScholarGoogle ScholarCross RefCross Ref
  12. Davis, F. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3): 319--339.Google ScholarGoogle ScholarDigital LibraryDigital Library
  13. Fishbein, M., Ajzen, I. Belief Attitude, Intention and Behavior: An Introduction to Theory and Research, Addison-Wesley, Reading, MA, 1975.Google ScholarGoogle Scholar
  14. Fornell, C. D. Larker. Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18, 39--50 (1981).Google ScholarGoogle Scholar
  15. Hand, E. (2010) Citizen science: People power. Nature 466, 685--687.Google ScholarGoogle ScholarCross RefCross Ref
  16. Hertel, G., Niedner, S., & Herrmann, S. (2003). Motivation of software developers in Open Source projects: an Internet-based survey of contributors to the Linux kernel. Research Policy, 32, 1159--1177.Google ScholarGoogle ScholarCross RefCross Ref
  17. Klandermans, B. (1997). The social psychology of protest. Oxford, UK: Blackwell.Google ScholarGoogle Scholar
  18. Lakhani, K., & Wolf, R. (2005). Why hackers do what they do. In J. Feller, B. Fitzgerald, S. Hissam, & K. Lakhani (Eds.), Perspectives in Free and Open-Source Software. MIT Press.Google ScholarGoogle Scholar
  19. Lintott, C., Schawinski, K., Keel W., et al. (2009). Galaxy Zoo: 'Hanny's Voorwerp', a q uasar light echo? Monthly Notices of the Royal Astronomical Society.Google ScholarGoogle Scholar
  20. Maxwell, S., Meliker, I, et al. (2009). Use of land surface remotely sensed satellite and airborne data for environmental exposure assessment in cancer research. Journal of Exposure Science and Environmental Epidemiology.Google ScholarGoogle Scholar
  21. Nov, O. (2007). What motivates Wikipedians. Communications of the ACM, 50 (11) 60--64. Google ScholarGoogle ScholarDigital LibraryDigital Library
  22. Oreg, S. and O. Nov (2008). Exploring motivations forcontributing to open source initiatives: The roles of contribution context and personal values. Computers in Human Behavior (24) 5, 2055--2073. Google ScholarGoogle ScholarDigital LibraryDigital Library
  23. Raddick, M. J., Bracey, G., Carney, K., et al, (2009). Citizen Science: Status and Research Directions for the Coming Decade. ASTRO2010 Decadal Survey Position Paper.Google ScholarGoogle Scholar
  24. Raman, S., Lange, O. F., Rossi, P., et al. (2010) NMR structure determination for larger proteins using backbone-only data. Science, 327, 1014--1018.Google ScholarGoogle ScholarCross RefCross Ref
  25. Ringle, C. M, Wende, S, SmartPLS 2.0. www.smartpls.de (accessed 20 July 2010).Google ScholarGoogle Scholar
  26. Roberts, J., Hann, I. H., & Slaughter, S. (2006). Understanding the motivations, participation, and performance of open source software developers: A longitudinal study of the apache projects. Management Science, 52(7) 984--999. Google ScholarGoogle ScholarDigital LibraryDigital Library
  27. Rose, A. (2009). Temporal and Individual Variation in Offspring Provisioning by Tree Swallows: A New Method of Automated Nest Attendance Monitoring. PLoS ONE 4(1): e411.Google ScholarGoogle ScholarCross RefCross Ref
  28. Schroer, J., & Hertel, G. (2009). Voluntary engagement in an open Web based encyclopedia: Wikipedians, and why they do it. Media Psychology, 12, 1--25.Google ScholarGoogle ScholarCross RefCross Ref
  29. Simon, B., Loewy, M., Sturmer, S., et al. (1998). Collective identification and social movement participation. Journal of Personality and Social Psychology, 74, 646--658.Google ScholarGoogle ScholarCross RefCross Ref
  30. Straub, D. M.-C. Boudreau, Validation guidelines for IS positivist research. Communications of the AIS, 13, 380--427 (2004).Google ScholarGoogle Scholar
  31. Venkatesh, V., Morris, M, User Acceptance of Information Technology - Toward a Unified View. MIS Quart, 2003; 27,3, 425--478. Google ScholarGoogle ScholarDigital LibraryDigital Library
  32. Venkatesh, V. (2000). Determinants of perceived ease of use: Integrating control, intrinsic motivation, and emotion into the technology acceptance model. Information Systems Research, 11(4), 342--366. Google ScholarGoogle ScholarDigital LibraryDigital Library
  33. Venkatesh V, Davis F. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46, 186--204. Google ScholarGoogle ScholarDigital LibraryDigital Library
  34. von Hippel, E., & von Krogh, G. (2003). Open source software and the "Private-Collective" innovation model: Issues for organization science. Organization Science, 14(2), 209--223. Google ScholarGoogle ScholarDigital LibraryDigital Library
  35. Wu, C. and Gerlach, Y. (2007). An empirical analysis of open source software developers' motivations and continuance intentions. Information & Management, 44, 253--262 (2007). Google ScholarGoogle ScholarDigital LibraryDigital Library
  36. Young, J. Crowd science reaches new heights. The chronicle of higher education, 28 May 2010.Google ScholarGoogle Scholar

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      cover image ACM Other conferences
      iConference '11: Proceedings of the 2011 iConference
      February 2011
      858 pages
      ISBN:9781450301213
      DOI:10.1145/1940761

      Copyright © 2011 ACM

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      Publication History

      • Published: 8 February 2011

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