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Needs, drivers, participants and engagement actions: a framework for motivating contributions to volunteered geographic information systems

  • José-Pablo Gómez-Barrón
  • Miguel-Ángel Manso-Callejo
  • Ramón Alcarria
Original Article
  • 119 Downloads

Abstract

This work addresses motivation for participating in volunteered geographic information systems (VGIS), which enable a crowdsourcing process to create information-driven value. VGIS, implemented by executing a project and its crowdsourcing strategy, are driven by online networked community participation enabled by a technological infrastructure. However, without community engagement, crowdsourcing, the core process of a VGIS, fails to create value and its main advantage becomes one of its biggest challenges. To address this problem, we present a conceptual framework to assist in designing engagement strategies to motivate and facilitate goal-oriented participation. To this end, we examine the relation between Maslow’s human needs and VGI, its different goals, and current studies on motivation. We analyze intrinsic and internalized motivation, focusing on the needs outlined in self-determination theory. Finally, we apply Vroom’s expectancy theory of motivation in relation to VGI. As a result, the proposed framework consists of three design tools: core drivers, participant types to whom efforts to motivate should be aligned with the project rationale, and an engagement process consisting of three main actions: Enroll, Grow and Retain. With this framework, future VGIS developments can have a structured approach that guides participation and the design of engagement strategies.

Keywords

Citizen engagement Motivation Crowdsourcing Volunteered geographic information System design 

JEL Classification

O30 L29 D26 

Notes

References

  1. Amabile TM, Kramer SJ (2011) The power of small wins. Hum Resour Manag Int Dig.  https://doi.org/10.1140/epjd/e2007-00084-x Google Scholar
  2. Antoniou V, Schlieder C (2014) Participation patterns, VGI and Gamification. In: 17th AGILE conference on geographic information science—Geogames and geoplay workshop, at Castellón, SpainGoogle Scholar
  3. Arkes HR, Blumer C (1985) The psychology of sunk cost. Organ Behav Hum Decis Process 35(1):124–140.  https://doi.org/10.1016/0749-5978(85)90049-4 CrossRefGoogle Scholar
  4. Bandura A (1977) Self-efficacy: toward a unifying theory of behavioral change. Psychol Rev.  https://doi.org/10.1037/0033-295X.84.2.191 Google Scholar
  5. Bartoschek T, Keßler C (2012) VGI in education: from K-12 to graduate studies. Crowdsourcing Geographic knowledge: volunteered geographic information (VGI) in theory and practice. Springer, Dordrecht, pp 341–360Google Scholar
  6. Baruch A, May A, Yu D (2016) The motivations, enablers and barriers for voluntary participation in an online crowdsourcing platform. Comput Human Behav 64:923–931.  https://doi.org/10.1016/j.chb.2016.07.039 CrossRefGoogle Scholar
  7. Bayas JCL, See L, Fritz S et al (2016) Crowdsourcing in situ data on land cover and land use using gamification and mobile technology. Remote Sens 8(11):905.  https://doi.org/10.3390/rs8110905 CrossRefGoogle Scholar
  8. Brabham DC (2008) Moving the crowed at iStockphoto: The composition of the crowd and motivations for participation in a crowdsourcing application. First Monday 13:1–19.  https://doi.org/10.5210/fm.v13i6.2159 CrossRefGoogle Scholar
  9. Brabham DC (2010) Moving the crowd at threadless. Inf Commun Soc 13(8):1122–1145.  https://doi.org/10.1080/13691181003624090 CrossRefGoogle Scholar
  10. Brabham D (2013) Using Crowdsourcing In: Government. IBM Center for The Businnes of GovernmentGoogle Scholar
  11. Bruns A (2006) Towards Produsage: futures for user-led content production. cult attitudes. Towards Commun Technol.  https://doi.org/10.1016/S0190-9622(06)01179-0 Google Scholar
  12. Budhathoki NR, Haythornthwaite C (2012) Motivation for open collaboration: crowd and community models and the case of OpenStreetMap. Am Behav Sci 57(5):548–575.  https://doi.org/10.1177/0002764212469364 CrossRefGoogle Scholar
  13. Budhathoki NR, Nedović-Budić Z, Bruce BC (2010) An interdisciplinary frame for understanding volunteered geographic information. Geomatica 64(1):11–26Google Scholar
  14. Cialdini RB, Wosinska W, Barrett DW et al (1999) Compliance with a request in two cultures: The differential influence of social proof and commitment/consistency on collectivists and individualists. Personal Soc Psychol Bull.  https://doi.org/10.1177/0146167299258006 Google Scholar
  15. Clary EG, Snyder M (1999) The motivations to volunteer: theoretical and practical considerations. Curr Dir Psychol Sci.  https://doi.org/10.1111/1467-8721.00037 Google Scholar
  16. Coleman D, Georgiadou Y, Labonte J (2009) Volunteered geographic information: the nature and motivation of produsers. Int J Spat Data Infrastructures Res 4:332–358Google Scholar
  17. Composto S, Ingensand J, Nappez M, et al (2016) How to recruit and motivate users to utilize VGI-systems? In: 19th AGILE international conference on geographic information science. Helsinki, Finland, pp 2–5Google Scholar
  18. Crall A, Kosmala M, Cheng R et al (2017) Volunteer recruitment and retention in online citizen science projects using marketing strategies: lessons from season spotter. J Sci Commun 10:15–20.  https://doi.org/10.22323/2.16010201 Google Scholar
  19. Cross JE (2001) What is sense of place ? In: Twelfth headwaters conference, November 2–4, pp 1–14Google Scholar
  20. D’Antonio F, Fogliaroni P, Kauppinen T (2014) VGI edit history reveals data trustworthiness and user reputation. In: Proceedings of 17th AGILE international conference on geographic information science, pp 4–8Google Scholar
  21. Deci EL (1975) Intrinsic motivation. Plenum Press, New YorkCrossRefGoogle Scholar
  22. Deci EL, Ryan RM (1985) Intrinsic motivation and self-determination in human behavior. Plenum Press, New YorkCrossRefGoogle Scholar
  23. Deci EL, Ryan RM (2000) The “What”and “Why” of goal pursuits: human needs and the self-determination of behavior. Psychol Inq 11(4):227–268.  https://doi.org/10.1207/S15327965PLI1104_01 CrossRefGoogle Scholar
  24. Deci EL, Eghrari H, Patrick BC, Leone DR (1994) Facilitating internalization: the self-determination theory perspective. J Pers.  https://doi.org/10.1111/j.1467-6494.1994.tb00797.x Google Scholar
  25. Dejean S, Jullien N (2015) Big from the beginning: assessing online contributors’ behavior by their first contribution. Res Policy 44(6):1226–1239.  https://doi.org/10.1016/j.respol.2015.03.001 CrossRefGoogle Scholar
  26. Doan A, Ramakrishnan R, Halevy AY (2011) Crowdsourcing systems on the world-wide web. Commun ACM 54(4):86.  https://doi.org/10.1145/1924421.1924442 CrossRefGoogle Scholar
  27. Dörnyei Z (2001) Teaching and researching motivation. Longman, LondonGoogle Scholar
  28. Estellés-Arolas E, González-Ladrón-de-Guevara F (2012) Towards an integrated crowdsourcing definition. J Inf Sci.  https://doi.org/10.1177/016555150000000 Google Scholar
  29. Fogg B (2009) A behavior model for persuasive design. In: Proceedings of the 4th international conference on persuasive technology—Persuasive’09. p 1Google Scholar
  30. Fritz S, See L, Brovelli M (2017) Motivating and sustaining participation in VGI. In: Foody G, See L, Fritz S, Mooney P, Olteanu-Raimond A-M, Costa Fonte C, Antoniou V (eds) Mapping and the citizen sensor. Ubiquity Press, London, pp 93–117Google Scholar
  31. Geoghegan H, Dyke A, Pateman R, et al (2016) Understanding motivations for citizen science. UK Environmental Observation FrameworkGoogle Scholar
  32. Gómez-Barrón J-P, Manso-Callejo M-Á, Alcarria R, Iturrioz T (2016) Volunteered geographic information system design: project and participation guidelines. ISPRS Int J Geo-Information.  https://doi.org/10.3390/ijgi5070108 Google Scholar
  33. Goodchild MF (2007) Citizens as sensors: the world of volunteered geography. GeoJournal 69(4):211–221.  https://doi.org/10.1007/s10708-007-9111-y CrossRefGoogle Scholar
  34. Guay F, Chanal J, Ratelle CF et al (2010) Intrinsic, identified, and controlled types of motivation for school subjects in young elementary school children. Br J Educ Psychol 80(4):711–735.  https://doi.org/10.1348/000709910X499084 CrossRefGoogle Scholar
  35. Haklay M (2016) Why is participation inequality important? In: European handbook of crowdsourced geographic informationGoogle Scholar
  36. Haklay M, Antoniou V, Basiouka S, Soden R, Mooney P (2014) Crowdsourced geographic information use in government. Report to GFDRR (World Bank), LondonGoogle Scholar
  37. Harvey F (2013) To volunteer or to contribute locational information? Towards truth in labeling for crowdsourced geographic information. In: crowdsourcing geographic knowledge: volunteered geographic information (VGI) in Theory and PracticeGoogle Scholar
  38. Hebb DO (1955) Drives and the C. N. S. (conceptual nervous system). Psychol Rev.  https://doi.org/10.1037/h0041823 Google Scholar
  39. Heipke C (2010) Crowdsourcing geospatial data. ISPRS J Photogramm Remote Sens 65(6):550–557.  https://doi.org/10.1016/j.isprsjprs.2010.06.005 CrossRefGoogle Scholar
  40. Howe J (2006) The rise of crowdsourcing. Wired Mag 14(06):1–5.  https://doi.org/10.1086/599595 Google Scholar
  41. Howe J (2008) Crowdsourcing: why the power of the crowd is driving the future of business. Crown Publishing Group, New York, USAGoogle Scholar
  42. International Center for Journalists (2012) InfoAmazonia: a visual and graphic exploration of the world’s largest rainforest| international center for journalists. https://www.icfj.org/news/infoamazonia-visual-and-graphic-exploration-worlds-largest-rainforest. Accessed 27 Oct 2018
  43. Jennett C, Blandford A, Brohan P, Cox A (2014) Designing for Dabblers and deterring drop-outs in citizen science, pp 2985–2994Google Scholar
  44. Keßler C, De Groot RTA (2013) Trust as a proxy measure for the quality of volunteered geographic information in the case of openstreetmap. In: Lecture Notes in geoinformation and cartography, pp 21–37Google Scholar
  45. Lakhani KR, Lohse PA, Panetta JA, Jeppesen LB (2007) The value of openness in scientific problem solving. Biotech Bus 18S:5533–5564.  https://doi.org/10.1007/s00268-006-0616-1 Google Scholar
  46. Langley SA, Messina JP, Moore N (2017) Using meta-quality to assess the utility of volunteered geographic information for science. Int J Health Geogr.  https://doi.org/10.1186/s12942-017-0113-9 Google Scholar
  47. Maslow AH (1943) A theory of human motivation. Psychol Rev 50(4):370–396.  https://doi.org/10.1037/h0054346 CrossRefGoogle Scholar
  48. Maslow AH (1954) Motivation and personality. Harper & Row, New YorkGoogle Scholar
  49. Maslow AH (1965) Religions, values, and peak-experiences. J Sci Study Relig 5:179.  https://doi.org/10.2307/1384286 CrossRefGoogle Scholar
  50. Maslow AH (1968) Toward a psychology of being, 2d edn. Van Nostrand, New York, USAGoogle Scholar
  51. Maslow AH (1970) Motivation and personality, 2nd edn. Harper Row, New YorkGoogle Scholar
  52. Metcalfe B (1995) Metcalfe’ s law : A network becomes more valuable as it reach. InfoWorld, San FranciscoGoogle Scholar
  53. Moeller, Furhmann S (2015) Mapping the world–a new approach for volunteered geographic information in the cloud. ISPRS Int Arch Photogramm Remote Sens Spat Inf Sci XL-6/W1:9–10.  https://doi.org/10.5194/isprsarchives-xl-6-w1-9-2015 CrossRefGoogle Scholar
  54. Mooney P, Corcoran P (2014) Analysis of interaction and co-editing patterns amongst openstreetmap contributors. Trans GIS 18(5):633–659.  https://doi.org/10.1111/tgis.12051 CrossRefGoogle Scholar
  55. Mooney P, Minghini M, Stanley-Jones F (2015) Observations on an OpenStreetMap mapping party organised as a social event during an open source GIS conference. Int J Spat Data Infrastruct Res 10:138–150.  https://doi.org/10.2902/1725-0463.2015.10.art7 Google Scholar
  56. National Geographic (2012) What’s Going on in the Amazon?—National Geographic Blog. In: Natl. Geogr. Blog. https://blog.nationalgeographic.org/2012/06/22/whats-going-on-in-the-amazon/. Accessed 27 Oct 2018
  57. Neis P, Zipf A (2012) Analyzing the contributor activity of a volunteered geographic information project—the case of OpenStreetMap. ISPRS Int J Geo-Inf 1:146–165.  https://doi.org/10.3390/ijgi1020146 CrossRefGoogle Scholar
  58. BBC News (2015) How “crisis mapping” is helping relief efforts in Nepal—BBC News. http://www.bbc.com/news/world-asia-32603870. Accessed 1 Oct 2017
  59. Nielsen J (2006) Participation inequality: the 90-9-1 rule for social features. http://www.nngroup.com/articles/participation-inequality/. Accessed 5 Apr 2017
  60. O’Reilly T (2005) What is web 2.0. http://oreilly.com/web2/archive/what-is-web-20.html. Accessed 6 Mar 2017
  61. Olario E (2017) City Mapathon: (San) Juan more time!—The Mapillary Blog. In: Mapillary Blog. https://blog.mapillary.com/community/2017/06/21/san-juan-mapathon.html. Accessed 27 Oct 2018
  62. Pink D (2009) The surprising truth about what motivates us. Riverhead Books, New YorkGoogle Scholar
  63. Quinn S (2017) Using small cities to understand the crowd behind OpenStreetMap. GeoJournal 82(3):455–473.  https://doi.org/10.1007/s10708-015-9695-6 CrossRefGoogle Scholar
  64. Roth Y, Brabham DC, Lemoine JF (2015) Recruiting individuals to a crowdsourcing community: applying motivational categories to an ad copy test. In: Advances in CrowdsourcingGoogle Scholar
  65. Ryan RM, Deci EL (2000a) Self-determination theory and the facilitation of intrinsic motivation, social development, and well-being. Am Psychol 55(1):68–78.  https://doi.org/10.1037/0003-066X.55.1.68 CrossRefGoogle Scholar
  66. Ryan RM, Deci EL (2000b) Intrinsic and extrinsic motivations: classic definitions and new directions. Contemp Educ Psychol 25(1):54–67.  https://doi.org/10.1006/ceps.1999.1020 CrossRefGoogle Scholar
  67. Schmidt M, Klettner S (2013) Gender and experience-related motivators for contributing to OpenStreetMap. In: International workshop on action and interaction in volunteered geographic information (ACTIVITY)Google Scholar
  68. See L, Mooney P, Foody G et al (2016) Crowdsourcing, citizen science or volunteered geographic information? The current state of crowdsourced geographic information. ISPRS Int J Geo-Information 5(5):55.  https://doi.org/10.3390/ijgi5050055 CrossRefGoogle Scholar
  69. Sharma A (2010) Crowdsourcing critical success factor model. Strategies to harness the collective intelligence of the crowd (Working Paper). https://pdfs.semanticscholar.org/7e47/d791397f1b78ca4ced2dcfddd182e5abddc0.pdf
  70. Sheldon KM, Elliot AJ (1999) Goal striving, need satisfaction, and longitudinal well-being: the self-concordance model. J Pers Soc Psychol.  https://doi.org/10.1037/0022-3514.76.3.482 Google Scholar
  71. Sheldon KM, Kasser T (1998) Pursuing personal goals: skills enable progress, but not all progress is beneficial. Pers Soc Psychol Bull 24(12):1319–1331.  https://doi.org/10.1177/01461672982412006 CrossRefGoogle Scholar
  72. Steinmann R, Gröchenig S, Rehrl K, Brunauer R (2013) Contribution profiles of voluntary mappers in OpenStreetMap. In: Proceedings of the international workshop on action and interaction in volunteered geographic information (ACTIVITY) at the 16th AGILE conference on geographic information science. Leuven, BelgiumGoogle Scholar
  73. Thaler RH (1980) Toward a positive theory of consumer choice. J Econ Behav Organ 1:39–60.  https://doi.org/10.1016/0167-2681(80)90051-7 CrossRefGoogle Scholar
  74. Tiwari R (2011) What motivates VGI volunteers ? In: Redlands GIS week 2011—workshop on volunteered geographic information: real-time and emergency applications. Redlands, California,Google Scholar
  75. Toffler A (1980) The third wave. William Morrow & Company, New York, USAGoogle Scholar
  76. Turner A (2006) Introduction to neogeography. O’Reilly Media Inc, SebastopolGoogle Scholar
  77. Vanguardia L (2017) Las mejores imágenes de la nueva temporada del mosquito tigre. http://www.lavanguardia.com/natural/20170529/422958266705/mosquito-alert-mosquito-tigre.html. Accessed 1 Oct 2017
  78. Vasalampi K, Salmela-Aro K, Nurmi JE (2009) Adolescents’ self-concordance, school engagement, and burnout predict their educational trajectories. Eur Psychol 14:332–341.  https://doi.org/10.1027/1016-9040.14.4.332 CrossRefGoogle Scholar
  79. Vroom VH (1964) Work and motivation. Wiley, Oxford, EnglandGoogle Scholar
  80. West S, Pateman R, Dyke A (2016) Data submission in citizen science projects report for Defra (project number PH0475)Google Scholar
  81. Wheelmap (2017) 750,000 places on wheelmap.org in seven years. https://news.wheelmap.org/en/wheelmap-org-750000-places-in-seven-years/. Accessed 1 Oct 2017
  82. Wiese BS (2007) Successful pursuit of personal goals and subjective well-being. In: Little BR, Salmela-Aro K, Phillips SD (eds) Personal project pursuit: goals, action, and human flourishing. Lawrence Erlbaum Associates Publishers, Mahwah, NJ, US, pp 301–328Google Scholar
  83. Xu J, Nyerges TL (2017) A framework for user-generated geographic content acquisition in an age of crowdsourcing. Cartogr Geogr Inf Sci 44(2):98–112.  https://doi.org/10.1080/15230406.2016.1163644 CrossRefGoogle Scholar

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© Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  1. 1.School of Land Surveying, Geodesy and Mapping EngineeringUniversidad Politécnica de MadridMadridSpain

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