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Extending Participatory Design Principles to Structured User-Generated Content

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Nordic Contributions in IS Research (SCIS 2015)

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Abstract

The long tradition of research on participative design dates back to 1970 s and has traditionally investigated software development within organizational settings. In this context, many approaches to engaging users in software development were proposed and evaluated, leading to the establishment of principles of participative design. Recently, the proliferation of content-producing technologies such as social media and crowdsourcing has led to the explosion of user-generated content (UGC). In this paper we discuss how UGC settings differ substantially from the organizational environment in which principles of participative design have been originally developed. Developing systems that harness UGC presents unique challenges of user engagement generally not present in organizational settings. We thus identify the need for research extending participative design principles to the context of user-generated content.

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Notes

  1. 1.

    In this paper we do not consider those forms of user-generated content (e.g., Wikipedia, social media) and open collaboration (e.g., open source software development) where organizational needs do not drive software development projects.

  2. 2.

    Note, Barki and Hartwick [93] proposed a different conceptual distinction between user participation (i.e., activities in which users are engaged) and user involvement (i.e., psychological reactions of users to participation).

  3. 3.

    http://www.pewglobal.org/2011/12/20/global-digital-communication-texting-social-networking-popular-worldwide/.

  4. 4.

    See: http://www.isgtw.org/feature/collecting-data-gets-easier-epicollect.

  5. 5.

    http://nlnature.com/Endangered-Species-Biodiversity/About-NL-Nature-2.aspx.

References

  1. Markus, M.L., Mao, J.: Participation in development and implementation-updating an old, tired concept for today’s is contexts. JAIS 5, 515–544 (2004)

    Google Scholar 

  2. Swanson, E.B.: Management information systems: appreciation and involvement. Manage. Sci. 21, 178–188 (1974)

    Article  Google Scholar 

  3. Bjerknes, G., Bratteteig, T.: User participation and democracy: a discussion of scandinavian research on system development. Scand. J. Inf. Syst. 7(1), 73–98 (1995)

    Google Scholar 

  4. Lucas, H.C.: Why Information Systems Fail. Columbia University Press, New York (1975)

    Google Scholar 

  5. Wilson, S., Bekker, M., Johnson, P., Johnson, H.: Helping and hindering user involvement—a tale of everyday design. In: Computer-Human Interaction, pp. 178–185 (1997)

    Google Scholar 

  6. Muller, M., Millen, D.R., Strohecker, C.: What makes a representative user representative? a participatory poster. In: Computer-Human Interaction, pp. 101–102 (2001)

    Google Scholar 

  7. Kujala, S.: User involvement: a review of the benefits and challenges. Behav. Inf. Technol. 22, 1–16 (2003)

    Article  Google Scholar 

  8. Bodker, S.: Creating conditions for participation: conflicts and resources in systems development. Hum. Comput. Interact. 11, 215–236 (1996)

    Article  Google Scholar 

  9. Kraft, P., Bansler, J.P.: The collective resource approach: the scandinavian experience. Scand. J. Inf. Syst. 6, 71–84 (1994)

    Google Scholar 

  10. Mumford, E., Henshall, D.: Designing Participatively: A Participative Approach to Computer Systems Design. Manchester, Sandbach (1979)

    Google Scholar 

  11. Ehn, P.: Work-Oriented Design of Computer Artifacts, vol. 78. Arbetslivscentrum, Stockholm (1988)

    Google Scholar 

  12. Iivari, J., Iivari, N.: Varieties of user-centeredness: an analysis of four development methods. Inf. Syst. J. 21, 125–153 (2010)

    Google Scholar 

  13. Checkland, P., Holwell, S.: Information, Systems, and Information Systems: Making Sense of the Field. John Wiley & Sons Inc, Hoboken (1998)

    Google Scholar 

  14. Keen, J.S.: Managing Systems Development. J. Wiley, New Delhi (1981)

    Google Scholar 

  15. Kauffman, R., Li, T., Heck, E.V.: Business network-based value creation in electronic commerce. Int. J. Electron. Commer. 15, 113–144 (2010)

    Article  Google Scholar 

  16. Parsons, J., Wand, Y.: A foundation for open information environments. In: ECIS 2014 Proceedings, Foundation for Open Information Environments, pp. 1–9-A (2014)

    Google Scholar 

  17. Lukyanenko, R., Parsons, J.: Information quality research challenge: adapting information quality principles to user-generated content. ACM J. Data Inf. Qual. 6(1), 1–3 (2015)

    Article  Google Scholar 

  18. Hochachka, W.M., Fink, D., Hutchinson, R.A., Sheldon, D., Wong, W., Kelling, S.: Data-intensive science applied to broad-scale citizen science. Trends Ecol. Evol. 27, 130–137 (2012)

    Article  Google Scholar 

  19. Wiggins, A. et al.: Data management guide for public participation in scientific research. DataOne Working Group, pp. 1–41 (2013)

    Google Scholar 

  20. Newell, A., Card, S.K.: The prospects for psychological science in human-computer interaction. Hum. Comput. Interact. 1, 209–242 (1985)

    Article  Google Scholar 

  21. Hansen, W. J.: User engineering principles for interactive systems. In: Proceedings of the November 16–18, 1971, Fall Joint Computer Conference, pp. 523–532 (1971)

    Google Scholar 

  22. Clement, A.: Computing at work: empowering action by low-level users’. Commun. ACM 37, 52–64 (1994)

    Article  Google Scholar 

  23. Dobing, B., Parsons, J.: How UML is used. CACM 49, 109–113 (2006)

    Article  Google Scholar 

  24. Gemino, A., Wand, Y.: A framework for empirical evaluation of conceptual modeling techniques. Requirements Eng. 9, 248–260 (2004)

    Article  Google Scholar 

  25. Wand, Y., Weber, R.: On the deep-structure of information-systems. ISJ 5(3), 203–223 (1995)

    Google Scholar 

  26. Moody, D.L.: Theoretical and practical issues in evaluating the quality of conceptual models: current state and future directions. DKE 55, 243–276 (2005)

    Article  Google Scholar 

  27. Gould, J.D., Lewis, C.: Designing for usability: key principles and what designers think. Commun. ACM 28, 300–311 (1985)

    Article  Google Scholar 

  28. Mylopoulos, J.: Information modeling in the time of the revolution. Inf. Syst. 23, 127–155 (1998)

    Article  Google Scholar 

  29. Gemino, A., Wand, Y.: Complexity and clarity in conceptual modeling: comparison of mandatory and optional properties. Data Knowl. Eng. 55, 301–326 (2005)

    Article  Google Scholar 

  30. Parsons, J., Cole, L.: What do the pictures mean? guidelines for experimental evaluation of representation fidelity in diagrammatical conceptual modeling techniques. Data Knowl. Eng. 55, 327–342 (2005)

    Article  Google Scholar 

  31. Lee, Y.W., Strong, D.M.: Knowing-why about data processes and data quality. J. Manage. Inf. Syst. 20, 13–39 (2003)

    Google Scholar 

  32. Wang, R.Y., Strong, D.M.: Beyond accuracy: what data quality means to data consumers. J. Manage. Inf. Syst. 12, 5–33 (1996)

    MATH  Google Scholar 

  33. Zhu, H., Wu, H.: Quality of data standards: framework and illustration using XBRL taxonomy and instances. Electron. Markets 21, 129–139 (2011)

    Article  Google Scholar 

  34. Baskerville, R., De Marco, M., Spagnoletti, P.: Designing Organizational Systems: An Interdisciplinary Discourse. Springer, Berlin (2012)

    Google Scholar 

  35. Kujala, S., Kauppinen, M.: Identifying and selecting users for user-centered design. In: Computer-Human Interaction, pp. 297–303 (2004)

    Google Scholar 

  36. Cooper, A. a. o.: The inmates are running the asylum:[why high-tech products drive us crazy and how to restore the sanity], Vol. 261. Sams Indianapolis, Indianapolis, IN (1999)

    Google Scholar 

  37. Holone, H., Herstad, J.: Three Tensions in participatory design for inclusion. In: Computer Human Interaction, pp. 2903–2906 (2013)

    Google Scholar 

  38. McGrenere, J., Sullivan, J., Baecker, R.M.: Designing technology for people with cognitive impairments. In: CHI Workshop, pp. 1635–1638 (2006)

    Google Scholar 

  39. Bodker, S., Ehn, P., Knudsen, J., Kyng, M., Madsen, K.: Computer support for cooperative design. In: ACM Conference on Computer-Supported Cooperative Work, pp. 377–394 (1988)

    Google Scholar 

  40. Parsons, J.: Effects of local versus global schema diagrams on verification and communication in conceptual data modeling. J. Manage. Inf. Syst. 19, 155–184 (2003)

    Google Scholar 

  41. Ray, R.: Enterprise Resource Planning. New Delhi, McGraw-Hill Education (India) Pvt Limited (2011)

    Google Scholar 

  42. Doan, A., Ramakrishnan, R., Halevy, A.Y.: Crowdsourcing Systems on the World-Wide Web. Commun. ACM 54, 86–96 (2011)

    Article  Google Scholar 

  43. Wiggins, A., Crowston, K.: From conservation to crowdsourcing: a typology of citizen science (2011)

    Google Scholar 

  44. Whitla, P.: Crowdsourcing and its application in marketing activities. Contemp. Manage. Res. 5, 15–28 (2009)

    Google Scholar 

  45. Howe, J.: The rise of crowdsourcing. Wired 14(6), 176–183 (2006)

    MathSciNet  Google Scholar 

  46. Barbier, G., Zafarani, R., Gao, H., Fung, G., Liu, H.: Maximizing benefits from crowdsourced data. Comput. Math. Organ. Theory 18, 257–279 (2012)

    Article  Google Scholar 

  47. de Boer, V., Hildebrand, M., Aroyo, L., De Leenheer, P., Dijkshoorn, C., Tesfa, B., Schreiber, G.: Nichesourcing: harnessing the power of crowds of experts. In: ten Teije, A., Völker, J., Handschuh, S., Stuckenschmidt, H., d’Acquin, M., Nikolov, A., Aussenac-Gilles, N., Hernandez, N. (eds.) EKAW 2012. LNCS, vol. 7603, pp. 16–20. Springer, Heidelberg (2012)

    Chapter  Google Scholar 

  48. Levina, N., Arriaga, M.: Distinction and status production on user-generated content platforms: using bourdieu’s theory of cultural production to understand social dynamics in online fields. Inf. Syst. Res. 25, 468–488 (2014)

    Article  Google Scholar 

  49. Susarla, A., Oh, J., Tan, Y.: Social networks and the diffusion of user-generated content: evidence from youtube. Inf. Syst. Res. 23, 23–41 (2012)

    Article  Google Scholar 

  50. Gallaugher, J., Ransbotham, S.: Social media and customer dialog management at starbucks. MIS Q. Executive 9, 197–212 (2010)

    Google Scholar 

  51. Delort, J., Arunasalam, B., Paris, C.: Automatic moderation of online discussion sites. Int. J. Electron. Commer. 15, 9–30 (2011)

    Article  Google Scholar 

  52. Daugherty, T., Eastin, M., Bright, L.: Exploring consumer motivations for creating user-generated content. J. Interact. Advertising 8, 16–25 (2008)

    Article  Google Scholar 

  53. Krumm, J., Davies, N., Narayanaswami, C.: User-Generated content. IEEE Pervasive Comput. 7, 10–11 (2008)

    Article  Google Scholar 

  54. Vallente, D.: Information Explosion & Cloud Storage (2010). http://wikibon.org/blog/cloud-storage/. Accessed 10 Jan 2015

  55. Piskorski, M.J.: Social strategies that work. Harvard Bus. Rev. 89, 116 (2011)

    Google Scholar 

  56. Gangi, P.M.D., Wasko, M., Hooker, R.: Learning from dell how to succeed with online user innovation communities. MIS Q. Executive 9, 163–178 (2010)

    Google Scholar 

  57. Culnan, M.J., McHugh, P.J., Zubillaga, J.I.: How large U.S. companies can use twitter and other social media to gain business value. MIS Q. Executive 9, 243 (2010)

    Google Scholar 

  58. Barwise, P., Meehan, S.: The one thing you must get right when building a brand. Harvard Bus. Rev. 88, 80–84 (2010)

    Google Scholar 

  59. Majchrzak, A.N.N., More, P.H.B.: Emergency! web 2.0 to the rescue! Commun. ACM 54, 125–132 (2011)

    Article  Google Scholar 

  60. Sieber, R.: public participation geographic information systems: a literature review and framework. Ann. Assoc. Am. Geogr. 96, 491–507 (2006)

    Article  Google Scholar 

  61. Johnson, P.A., Sieber, R.E.: Situating the Adoption of VGI by Government. In: Sui, D., Elwood, S., Goodchild, M. (eds.) Crowdsourcing Geographic Knowledge, pp. 65–81. Springer, The Netherlands (2012)

    Google Scholar 

  62. Machan, D.: DaaS: The new information goldmine. Wall Street Journal, 1–3 (2009)

    Google Scholar 

  63. Zwass, V.: Co-Creation: toward a taxonomy and an integrated research perspective. Int. J. Electron. Commer. 15, 11–48 (2010)

    Article  Google Scholar 

  64. Girres, J., Touya, G.: Quality assessment of the french openstreetmap dataset. Trans. GIS 14, 435–459 (2010)

    Article  Google Scholar 

  65. Haklay, M., Weber, P.: OpenStreetMap: user-generated street maps. IEEE Pervasive Comput. 7, 12–18 (2008)

    Article  Google Scholar 

  66. Goodchild, M.: Citizens as sensors: the world of volunteered geography. GeoJournal 69, 211–221 (2007)

    Article  Google Scholar 

  67. Gao, G., McCullough, J.S., Agarwal, R., Jha, A.K.: Are Doctors Created Equal? an Investigation of Online Ratings by Patients (2010)

    Google Scholar 

  68. Wattal, S., Schuff, D., Mandviwalla, M., Williams, C.B.: Web 2.0 and politics: the 2008 u.s. presidential election and an e-politics research agenda. MIS Q. 34, 669–688 (2010)

    Google Scholar 

  69. Hand, E.: People power. Nature 466, 685–687 (2010)

    Article  Google Scholar 

  70. Fortson, L. et al.: Galaxy Zoo: morphological classification and citizen science. Advances in Machine Learning and Data Mining for Astronomy, pp. 1–11 (2011)

    Google Scholar 

  71. Lintott, C.J., Schawinski, K., Keel, W., Van Arkel, H., Bennert, N., Edmondson, E., Thomas, D., Smith, D.J.B., Herbert, P.D., Jarvis, M.J., Virani, S., Andreescu, D., Bamford, S.P., Land, K., Murray, P., Nichol, R.C., Raddick, M.J., Slosar, A., Szalay, A., Vandenberg, J.: Galaxy zoo: hanny’s voorwerp, a quasar light echo? Mon. Not. R. Astron. Soc. 399, 129–140 (2009)

    Article  Google Scholar 

  72. Theobald, E.J., Ettinger, A., Burgess, H.K., DeBey, L.B., Schmidt, N.R., Froehlich, H.E., Wagner, C., HilleRisLambers, J., Tewksbury, J., Harsch, M.A.: Global change and local solutions: tapping the unrealized potential of citizen science for biodiversity research. Biol. Conserv. 181, 236–244 (2015)

    Article  Google Scholar 

  73. Brown M., Brown L., Thody, C.: Citizen Science in Action: The Christmas Bird Count. Prairie Fire (2010)

    Google Scholar 

  74. Lukyanenko, R., Parsons, J., Wiersma, Y.: The impact of conceptual modeling on dataset completeness: a field experiment. In: International Conference on Information Systems, pp. 1–18 (2014)

    Google Scholar 

  75. Coleman, D.J., Georgiadou, Y., Labonte, J.: Volunteered geographic information: the nature and motivation of producers. Int. J. Spat. Data Infrastruct. Res. 4, 332–358 (2009)

    Google Scholar 

  76. Selke, J., Lofi, C., Balke, W.: Pushing the boundaries of crowd-enabled databases with query-driven schema expansion. VLDB Endowment 5, 538–549 (2012)

    Article  Google Scholar 

  77. Ali, A.L., Schmid, F., Al-Salman, R., Kauppinen, T.: Ambiguity and plausibility: managing classification quality in volunteered geographic information. In: SIGSPATIAL, pp. 1–10 (2014)

    Google Scholar 

  78. Murphy, G.L.: The Big Book Of Concepts. MIT Press, Cambridge, Mass (2004)

    Google Scholar 

  79. Smith, L.B.: Emerging ideas about categories. In: Gershkoff-Stowe, L., Rakison, D.H. (eds.) Building Object Categories in Developmental Time, pp. 159–175. L. Erlbaum Associates, Mahwah (2005)

    Google Scholar 

  80. McCloskey, M., Glucksberg, S.: Natural categories: well defined or fuzzy sets? Mem. Cogn. 6, 462–472 (1978)

    Article  Google Scholar 

  81. Tanaka, J.W., Taylor, M.: Object categories and expertise: is the basic level in the eye of the beholder? Cogn. Psychol. 23, 457–482 (1991)

    Article  Google Scholar 

  82. Lukyanenko, R., Parsons, J., Wiersma, Y.: The IQ of the crowd: understanding and improving information quality in structured user-generated content. Inf. Syst. Res. 25(4), 669–689 (2014)

    Article  Google Scholar 

  83. Lukyanenko, R., Parsons, J.: Is traditional conceptual modeling becoming obsolete? In: Conceptual Modeling: ER 2013, pp. 1–14 (2013)

    Google Scholar 

  84. Simon, H.A.: The Sciences of the Artificial. MIT Press, Massachusetts (1996)

    MATH  Google Scholar 

  85. Lukyanenko, R., Parsons, J.: Reconciling theories with design choices in design science research. In: vom Brocke, J., Hekkala, R., Ram, S., Rossi, M. (eds.) DESRIST 2013. LNCS, vol. 7939, pp. 165–180. Springer, Heidelberg (2013)

    Chapter  Google Scholar 

  86. Ambler, S.: Agile Database Techniques: Effective Strategies for the Agile Software Developer. Wiley, Hoboken (2003)

    Google Scholar 

  87. Roussopoulos, N., Karagiannis, D.: Conceptual modeling: past, present and the continuum of the future. In: Borgida, A.T., Chaudhri, V.K., Giorgini, P., Yu, E.S. (eds.) Conceptual Modeling: Foundations and Applications. LNCS, vol. 5600, pp. 139–152. Springer, Heidelberg (2009)

    Chapter  Google Scholar 

  88. Parsons, J., Wand, Y.: Emancipating instances from the tyranny of classes in information modeling. ACM Trans. Database Syst. 25, 228–268 (2000)

    Article  Google Scholar 

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Lukyanenko, R., Parsons, J. (2015). Extending Participatory Design Principles to Structured User-Generated Content. In: Oinas-Kukkonen, H., Iivari, N., Kuutti, K., Öörni, A., Rajanen, M. (eds) Nordic Contributions in IS Research. SCIS 2015. Lecture Notes in Business Information Processing, vol 223. Springer, Cham. https://doi.org/10.1007/978-3-319-21783-3_17

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