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

ACM International Conference Proceeding Series

Volumn , Issue , 2011, Pages 68-74

  Nov, Oded ^a   Arazy, Ofer ^b   Anderson, David ^c  

^a POLYTECHNIC UNIVERSITY   (United States)

^b UNIVERSITY OF ALBERTA   (Canada)

^c UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Citizen science; Crowdsourcing; Motivation; Participation; Stardust@home

Indexed keywords

CITIZEN SCIENCE; CROWDSOURCING; DISTRIBUTED RESOURCES; INTRINSIC MOTIVATION; ONLINE IMAGES; PARTICIPATION; SCIENTIFIC INFRASTRUCTURE; STARDUST SPACECRAFT; STARDUST@HOME;

DISTRIBUTED COMPUTER SYSTEMS; NASA;

MOTIVATION;

EID: 79952590837     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1940761.1940771     Document Type: Conference Paper

References (36)

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. (Pubitemid 135702626)
2. Anderson, D. (2006). Volunteer computing: Planting the flag. PCGrid 2007 Workshop, LongBeach, CA, USA, March 2007.
3. Anderson D. and Fedak. G. (2006). The computational and storage potential of volunteer computing. CCGRID'06, 2006.
4. Bhattacherjee, A. (2001). Understanding in formation systems continua nee: an expectation-confirmation model. MIS Quarterly 25, 3, 351-370. (Pubitemid 33738440)
5. Bonetta L. Tough Challenges for the Next NIH Director (2008) Cell 135 (4), pp. 583-585.
6. Burke, M., Marlow, C., and Lento, T. (2009). Feed me: motivating newcomer contribution in social net work sites. Proc. CHI'09. 945-954.
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. Atwater (Eds.) Leadership at a distance. Mahwah, NJ : Lawrence Erlbaum.
8. Chin, W. (1998). The partial least squares approach for structural equation modeling. In: Marcoulides G, e d. Modern Methods for Business Research. Lawrence Erlbaum Associates.
9. Chin W., Marcolin B, Newsted P. (2003). A partial least squares latent variable modeling approach f or measuring interaction effects. Information Systems Research 14(2): 189-217.
10. Cooper, S., Khatib, F., Treuille, A., et al. (2010). Predicting protein structures with a multiplayer online game. Nature 466, 756-760.
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. (Pubitemid 350003200)
12. Davis, F. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3): 319-339.
13. Fishbein, M., Ajzen, I. Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research, Addison-Wesley, Reading, MA, 1975.
14. Fornell, C. D. Larker. Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18, 39-50 (1981).
15. Hand, E. (2010) Citizen science: People power. Nature 466, 685-687.
16. Hertel, G., Niedner, S., & Herrmann, S. (2003). Motivation of software developers in Open Source projects: an Internet-base d survey of contributors to the Linux kernel. Research Policy, 32, 1159-1177.
17. Klandermans, B. (1997). The social psychology of protest. Oxford, UK: Blackwell.
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.
19. Lintott, C., Schawinski, K., Keel, W., et al. (2009). Galaxy Zoo:'Hanny's Voorwerp', aquasar light echo? Monthly Notices of the Royal Astronomical Society.
20. Maxwell, S., Meliker, J., 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.
21. Nov, O. (2007). What motivates Wikipedians. Communications of the ACM, 50 (11) 60-64.
22. Oreg, S. and O. Nov (2008). Exploring motivations for contributing to open source initiatives: The roles of contribution context and personal values. Computers in Human Behavior (24) 5, 2055-2073.
23. Raddick, M. J., Bracey, G., Carney, K., et al, (2009). Citizen Science: Status and Research Directions for the Coming Decade. ASTR02010 Decadal Survey Position Paper.
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.
25. Ringle, C.M, Wende, S., SmartPLS 2.0. www.smartpls.de (accessed 20 July 2010).
26. Roberts, J., Hann, I. H., & SIaughter, 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. (Pubitemid 43990587)
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): e4111.
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.
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.
30. Straub, D. M.-C. Boudreau, Validation guidelines for IS positivist research. Communications of the AIS, 13, 380427 (2004).
31. Venkatesh, V., Morris, M., User Acceptance of Information Technology - Toward a Unified View. MIS Quart, 2003; 27, 3, 425-478.
32. Venkatesh, V. (2000). Determinants of perceived ease of use: Integrating control, intrinsic motivation, and emotion into the technology accepta nce model. Information Systems Research, 11(4), 342-366.
33. Venkatesh V, Davis F. (2000). A theoretical extension of the technology accepta nce model: Four longitudinal field studies. Management Science, 46, 186-204. (Pubitemid 30594361)
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.
35. Wu, C. and Gerlach, Y. (2007). An empirical analysis of o pen source software developers' motivations and continuance intentions. Information & Management, 44, 253-262 (2007). (Pubitemid 46702400)
36. Young, J. Crowd science reaches new heights. The chronicle of higher education, 28 May 2010.