Abstract
New technologies do not always benefit the worker, especially when harnessed by organisations seeking ever cheaper labour. Crowdsourcing is a technology-enabled way of working which offers the potential to bring work to far flung communities. However, it is something of a double-edged sword and there are many socio-technical and ethical challenges. In the micro-task market crowdsourcing platforms tend to be designed largely for the advantage of the organisation requesting work, rather than the worker. This paper contributes to research calling to redress this balance [2, 6]. It describes the findings of an ethnographic study of an outsourced business process – healthcare form digitization – as performed by workers in-office (India) and @Home (USA). It reveals the complexities of the relationships between worker and organisation and argues that designing some aspects of these relationships into crowdsourcing platforms and applications is as beneficial for the organisation as it is for the worker.
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Thies, W., Ratan, A., Davis, J.: Paid crowdsourcig as a vehicle for global development. In: CHI Workshop on Crowdsourcing and Human Computation (2011)
Felsteiner, A.: Working the Crowd. Employment and Labor Law in the Crowdsourcing Industry. Berkeley Journal of Employment & Labor Law 32(1)
Silberman, M.S., Irani, L., Ross, J.: Ethics and tactics of professional crowdwork. XRDS 7(2), 39–43 (2010)
Eagle, N.: txteagle: Mobile Crowdsourcing. In: Aykin, N. (ed.) IDGD 2009. LNCS, vol. 5623, pp. 447–456. Springer, Heidelberg (2009)
Sachs, P.: Transforming Work: Collaboration, Learning and Design. Communications of the ACM 38(9), 36–44 (1995)
Suchman, L.: Making Work Visible. Communications of the ACM 38(9), 56 (1995)
Hartswood, M., Procter, R., Rouncefield, M., Slack, R.: Making a Case in Medical Work: Implications for the Electronic Medical Record. CSCW 12(3), 241–266 (2003)
Kochhar, S., Mazzochi, S., Paritosh, P.: The Anatomy of a Large-Scale Human Computation Engine. In: HCOMP 2010, pp. 10–17. ACM, New York (2010)
Bernstein, M., Little, G., Millar, R., Hartmann, B., Ackerman, M., Karger, D., Crowell, D., Panovich, K.: A word processor with a crowd inside. In: UIST 2010, pp. 313–322. ACM (2010)
Le, J., Edmonds, A., Hester, V., Biewald, L.: Ensuring quality in crowdsourced search relevance evaluation: The effects of training question distribution. In: SIGIR 2010, pp. 17–20 (2010)
Adda, G., Sagot, B., Fort, K., Mariani, J.: Crowdsourcing for Language Resource Development. In: 5th Language and Technology Conference, Poland (2011)
Bederson, B.B., Quinn, A.J.: Web workers unite! addressing challenges of online laborers. In: Proceedings of the 2011 Annual Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA 2011), pp. 97–106. ACM, New York (2011)
Irani, L., Silberman, M.S.: Turkopticon: Interrupting Worker Invisibility in Amazon Mechanical Turk. To appear in CHI 2013 (2013)
Karnin, E.D., Walach, E., Drory, T.: Crowdsourcing in the document processing practice. In: Daniel, F., Facca, F.M. (eds.) ICWE 2010. LNCS, vol. 6385, pp. 408–411. Springer, Heidelberg (2010)
Rzeszotarski, J.: Worker Collaboration in Crowdsourcing Markets. In: ACM SIGCHI 2011 Workshop on Crowdsourcing and Human Computation (2011)
Kazai, G.: An Exploration of the Influence that Task Parameters have on the Performance of Crowds. In: CrowdConf 2010, San Francisco, USA (2010)
Mason, W., Watts, D.J.: Financial Incentives and the “Performance of Crowds”. In: HCOMP 2009. ACM, Paris (2009)
Horton, J.J., Chilton, L.B.: The labor economics of paid crowdsourcing. In: EC 2010, pp. 209–218. ACM, New York (2010)
Huang, E., Zhang, H., Parkes, D.C., Gajos, K.Z., Chen, Y.: Toward automatic task design: a progress report. In: HCOMP 2010, pp. 77–85. ACM, New York (2010)
Silberman, M.S.: What’s fair? Rational action and its residuals in an electronic market. Unpublished manuscript (2010), http://www.scribd.com/doc/86592724/Whats-Fair
Khanna, S., Ratan, A., Davis, J., Thies, W.: Evaluating and Improving the Usability of Mechanical Turk for Low-Income Workers in India. In: ACM DEV 2010 (2010)
Bentley, R., Hughes, J.A., Randall, D., Rodden, T., Sawyer, P., Shapiro, D., Sommerville, I.: Ethnographically-informed systems design for air traffic control. In: CSCW 1992, pp. 123–129 (1992)
Kumar, D., Martin, D., O’Neill, J.: The times they are a-changin: mobile payments in india. In: CHI 2011, pp. 1413–1422 (2011)
Garfinkel, H.: Studies in ethnomethodology. Prentice-Hall, Englewood Cliffs (1967)
Wyche, S.P., Schoenebeck, S.Y., Forte, A. “Facebook is a Luxury”: An Exploratory Study of Social Media Use in Rural Kenya. In: CSCW 2013 (in press, 2013)
O’Neill, J., Roy, S., Grasso, A., Martin, D.: Form Digitization in BPO: From outsourcing to crowdsourcing? To appear in CHI 2013 (2013)
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O’Neill, J., Martin, D. (2013). Relationship-Based Business Process Crowdsourcing?. In: Kotzé, P., Marsden, G., Lindgaard, G., Wesson, J., Winckler, M. (eds) Human-Computer Interaction – INTERACT 2013. INTERACT 2013. Lecture Notes in Computer Science, vol 8120. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40498-6_33
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DOI: https://doi.org/10.1007/978-3-642-40498-6_33
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