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Personalized incremental users' engagement: driving contributions one step forward

Published:27 October 2012Publication History

ABSTRACT

Successful contributors in online communities go through a lifecycle of membership status starting from the periphery and moving to the core over time. We argue that a personalized incremental engagement strategy can mobilize a larger proportion of members through this process. This paper presents our approach to identify a progression of contributions in an online community and the design of personalized incremental engagement strategy which will drive users' contributions one step forward. The results of our field study show that the personalized incremental approach significantly boosts contributions in an online community for academic conferences.

References

  1. M. Abdolrasulnia, B. C. Collins, L. Casebeer, T. Wall, C. Spettell, M. N. Ray, N. W. Weissman, and J. J. Allison. Using email reminders to engage physicians in an internet-based cme intervention. BMC Medical Education, 4(7), 2004.Google ScholarGoogle Scholar
  2. G. Beenen, K. Ling, X. Wang, K. Chang, D. Frankowski, P. Resnick, and R. E. Kraut. Using social psychology to motivate contributions to online communities. In Proceedings of the 2004 ACM conference on Computer supported cooperative work, pages 212--221, 2004. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. P. Brusilovsky. Berkshire Encyclopedia of Human-Computer Interaction, chapter Adaptive Help Systems. Berkshire Publishing Group, 2004.Google ScholarGoogle Scholar
  4. P. Brusilovsky, A. Kobsa, and W. Nejdl. The Adaptive Web: Methods and Strategies of Web Personalization Springer-Verlag, 2007. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. P. Brusilovsky and E. Schwarz. User as student: Towards an adaptive interface for advanced web-based applications. In A. Jameson, C. Paris, and C. Tasso, editors, 6th International Conference on User Modeling, pages 177--188, 1997.Google ScholarGoogle ScholarCross RefCross Ref
  6. B. Butler, L. Sproull, S. Kiesler, and R. Kraut. Community effort in online groups: Who does the work and why. In Leadership at a Distance: Research in Technologically-Supported Work., pages 171--194, 2007.Google ScholarGoogle Scholar
  7. Y. Chen, F. M. Harper, J. A. Konstan, and S. X. Li. Social comparisons and contributions to online communities: A field experiment on MovieLens. In Computational Social Systems and the Internet, 2007.Google ScholarGoogle Scholar
  8. B. Choi, K. Alexander, R. E. Kraut, and J. M. Levine. Socialization tactics in wikipedia and their effects. In Proceedings of the 2010 ACM conference on Computer supported cooperative work, pages 107--116, 2010. Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. D. Cosley, D. Frankowski, L. Terveen, and J. Riedl. Suggestbot: using intelligent task routing to help people find work in wikipedia. In Proceedings of the 12th international conference on Intelligent user interfaces, pages 32--41, 2007. Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. J. N. Cummings, B. Butler, and R. Kraut. The quality of online social relationships. Commun. ACM, 45:103--108, 2002. Google ScholarGoogle ScholarDigital LibraryDigital Library
  11. S. Drenner, S. Sen, and L. Terveen. Crafting the initial user experience to achieve community goals. In Proceedings of the 2008 ACM conference on Recommender systems, pages 187--194, 2008. Google ScholarGoogle ScholarDigital LibraryDigital Library
  12. R. Farzan, J. M. DiMicco, D. R. Millen, C. Dugan, W. Geyer, and E. A. Brownholtz. Results from deploying a participation incentive mechanism within the enterprise. In Proceedings of the twenty-sixth annual SIGCHI conference on Human factors in computing systems, pages 563--572, 2008. Google ScholarGoogle ScholarDigital LibraryDigital Library
  13. R. Farzan, R. Kraut, A. Pal, and J. Konstan. Socializing volunteers in an online community: a field experiment. In Proceedings of the ACM 2012 conference on Computer Supported Cooperative Work, pages 325--334, 2012. Google ScholarGoogle ScholarDigital LibraryDigital Library
  14. L. Findlater and J. McGrenere. A comparison of static, adaptive, and adaptable menus. In Proceedings of the SIGCHI conference on Human factors in computing systems, pages 89--96, 2004. Google ScholarGoogle ScholarDigital LibraryDigital Library
  15. G. Fischer. Enhancing incremental learning process with knowledge-based systems, pages 138--163. Springer-Verlag, 1988. Google ScholarGoogle ScholarDigital LibraryDigital Library
  16. G. Fischer. User modeling in human-computer interaction. User Modeling and User Adapted Interaction, 11(1-2):65--86, 2001. Google ScholarGoogle ScholarDigital LibraryDigital Library
  17. A. Forte and A. Bruckman. Why do people write for wikipedia? incentives to contribute to open-content publishing. group 05 workshop position paper. In GROUP 05 Workshop: Sustaining Community: The Role and Design of Incentive Mechanisms in Online Systems, pages 6--9, 2005.Google ScholarGoogle Scholar
  18. P. Fugelstad, P. Dwyer, J. Filson Moses, J. Kim, C. A. Mannino, L. Terveen, and M. Snyder. What makes users rate (share, tag, edit...)?: predicting patterns of participation in online communities. In Proceedings of the ACM 2012 conference on Computer Supported Cooperative Work, pages 969--978, 2012. Google ScholarGoogle ScholarDigital LibraryDigital Library
  19. F. M. Harper, D. Frankowski, S. Drenner, Y. Ren, S. Kiesler, L. Terveen, R. Kraut, and J. Riedl. Talk amongst yourselves: inviting users to participate in online conversations. In Proceedings of the 12th international conference on Intelligent user interfaces, pages 62--71, 2007. Google ScholarGoogle ScholarDigital LibraryDigital Library
  20. S. J. Hegner, P. Mc Kevitt, P. Norvig, and R. L. Wilensky. Intelligent Help Systems for UNIX. Kluwer Academic Publishers, 2001.Google ScholarGoogle Scholar
  21. E. Horvitz, J. Breese, D. Heckerman, D. Hovel, and K. Rommelse. The Lumiere project: Bayesian user modeling for inferring the goals and needs of software users. In Fourteenth Conference on Uncertainty in Artificial Intelligence, pages 256--265, 1998. Google ScholarGoogle ScholarDigital LibraryDigital Library
  22. R. Kraut, M. L. Maher, J. Olson, T. W. Malone, P. Pirolli, and J. C. Thomas. Scientific foundations: A case for technology-mediated social- participation theory. IEEE Computer, 43:22--28, 2010. Google ScholarGoogle ScholarDigital LibraryDigital Library
  23. R. E. Kraut and P. Resnick. Building Successful Online Communities: Evidence-based Social Design, chapter Encouraging Contribution to Online Communities. Cambridge, MA: MIT Press., 2012.Google ScholarGoogle ScholarCross RefCross Ref
  24. F. Linton, D. Joy, and H.-P. Schaefer. Building user and expert models by long-term observation of application usage. In J. Kay, editor, 7th International Conference on User Modeling, pages 129--138, 1999. Google ScholarGoogle ScholarDigital LibraryDigital Library
  25. E. A. Locke and G. P. Latham. Building a practically useful theory of goal setting and task motivation. American Psychologist, 57(9):705--717, 2002.Google ScholarGoogle ScholarCross RefCross Ref
  26. C. López and P. Brusilovsky. Towards adaptive recruitment and engagement mechanisms in social systems. In L. Ardissono and T. Kuflik, editors, Advances in User Modeling, pages 382--396. Springer Berlin / Heidelberg, 2012. Google ScholarGoogle ScholarDigital LibraryDigital Library
  27. J. McGrenere, R. M. Baecker, and K. S. Booth. An evaluation of a multiple interface design solution for bloated software. In Proceedings of the SIGCHI conference on Human factors in computing systems: Changing our world, changing ourselves, pages 164--170, 2002. Google ScholarGoogle ScholarDigital LibraryDigital Library
  28. F. Ortega, J. Gonzalez-Barahona, and G. Robles. On the inequality of contributions to wikipedia. In Proceedings of the 41st Annual Hawaii International Conference on System Sciences, pages 304--308, 2008. Google ScholarGoogle ScholarDigital LibraryDigital Library
  29. K. Panciera, A. Halfaker, and L. Terveen. Wikipedians are born, not made: a study of power editors on wikipedia. In Proceedings of the ACM 2009 international conference on Supporting group work, pages 51--60, 2009. Google ScholarGoogle ScholarDigital LibraryDigital Library
  30. J. Preece and B. Shneiderman. The reader-to-leader framework: Motivating technology-mediated social participation. AIS Transactions on Human-Computer Interaction, 1:13--32, 2009.Google ScholarGoogle ScholarCross RefCross Ref
  31. A. M. Rashid, K. Ling, R. D. Tassone, P. Resnick, R. Kraut, and J. Riedl. Motivating participation by displaying the value of contribution. In Proceedings of the SIGCHI conference on Human Factors in computing systems, pages 955--958, 2006. Google ScholarGoogle ScholarDigital LibraryDigital Library
  32. Y. Ren, R. Kraut, S. Kiesler, and P. Resnick. Evidence-based social design: Mining the social sciences to build online communities, chapter Encouraging commitment in Online Communities. MIT Press., 2012.Google ScholarGoogle Scholar
  33. P. Resnick, J. Konstan, Y. Chen, and R. E. Kraut. Building Successful Online Communities: Evidence-based Social Design, chapter Starting New Online Communities. MIT Press., 2012. Google ScholarGoogle ScholarDigital LibraryDigital Library
  34. C. Ridings, D. Gefen, and B. Arinze. Psychological barriers: Lurker and poster motivation and behavior in online communities. Communications of the Association for Information Systems, 18(16), 2006.Google ScholarGoogle Scholar
  35. K. Sassenberg. Common bond and common identity groups on the internet: Attachment and normative behavior in on-topic and off-topic chats. Group Dynamics, 6(1):27--37, 2002.Google ScholarGoogle ScholarCross RefCross Ref
  36. M. Schneider-Hufschmidt, T. Kohme, and U. Malinowski. Adaptive user interfaces: Principles and practice. Human Factors in Information Technology, 1993.Google ScholarGoogle Scholar
  37. M. M. Wasko and S. Faraj. Why should I share? examining social capital and knowledge contribution in electronic networks of practice. MIS Quarterly, 29(1):35--57, 2005. Google ScholarGoogle ScholarCross RefCross Ref
  38. Y. Ye and K. Kishida. Toward an understanding of the motivation open source software developers. In Proceedings of the 25th International Conference on Software Engineering, pages 419--429, 2003. Google ScholarGoogle ScholarDigital LibraryDigital Library

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    • Published in

      cover image ACM Conferences
      GROUP '12: Proceedings of the 2012 ACM International Conference on Supporting Group Work
      October 2012
      342 pages
      ISBN:9781450314862
      DOI:10.1145/2389176

      Copyright © 2012 ACM

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      Publication History

      • Published: 27 October 2012

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