Abstract
In this paper, we define two strategies for crowdsourcing systems to encourage users to participate at a cost that is close to the optimal cost for the system. In the scenario considered, the system has temporal constraints and potential participants have dynamic behaviors related to the expected rewards (i.e., users’ expected rewards in exchange of their contributions change over time). We propose and evaluate two types of strategies that promote participation of users through monetary rewards that can change as time passes in order to adapt them to the population dynamic behaviors.
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References
Del Val, E., Rebollo, M., Botti, V.: Promoting cooperation in service-oriented mas through social plasticity and incentives. JSS 86(2), 520–537 (2013)
Koukoumidis, E., Peh, L.S., Martonosi, M.R.: Signalguru: leveraging mobile phones for collaborative traffic signal schedule advisory. In: MobiSys, pp. 127–140 (2011)
Liu, Y., Zhao, Y., Chen, L., Pei, J., Han, J.: Mining frequent trajectory patterns for activity monitoring using radio frequency tag arrays. TPDS 23(11), 2138–2149 (2012)
Maisonneuve, N., Stevens, M., Niessen, M.E., Steels, L.: Noisetube: measuring and mapping noise pollution with mobile phones. In: ITEE, pp. 215–228 (2009)
Martínez-Cánovas, G., Del Val, E., Botti, V., Hernández, P., Rebollo, M.: A formal model based on game theory for the analysis of cooperation in distributed service discovery. INS 326, 59–70 (2016)
Nov, O., Naaman, M., Ye, C.: What drives content tagging: the case of photos on flickr. In: Proceedings of the SIGCHI, pp. 1097–1100 (2008)
Reddy, S., Estrin, D., Srivastava, M.: Recruitment framework for participatory sensing data collections. In: Floréen, P., Krüger, A., Spasojevic, M. (eds.) Pervasive 2010. LNCS, vol. 6030, pp. 138–155. Springer, Heidelberg (2010)
Rowe, M., Poblet, M., Thomson, J.D.: Creating value through crowdsourcing: the antecedent conditions. In: Kamiński, B., Kersten, G.E., Szapiro, T. (eds.) GDN 2015. LNBIP, vol. 218, pp. 345–355. Springer, Heidelberg (2015)
Spann, M., Tellis, G.J.: Does the internet promote better consumer decisions? the case of name-your-own-price auctions. J. Mark. 70(1), 65–78 (2006)
del Val, E., Rebollo, M., Botti, V.: Emergence of cooperation through structural changes and incentives in service-oriented mas. In: Proceedings of the AAMAS, pp. 1355–1356 (2012)
Acknowledgements
This work was partially supported by the following projects: TIN2014-55206-R, TIN2012-36586-C03-01, and PROMETEOII/2013/019.
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del Val, E., Martínez-Cánovas, G., Botti, V., Hernández, P. (2016). Analysing Incentive Strategies to Promote Participation in Crowdsourcing Systems. In: Rovatsos, M., Vouros, G., Julian, V. (eds) Multi-Agent Systems and Agreement Technologies. EUMAS AT 2015 2015. Lecture Notes in Computer Science(), vol 9571. Springer, Cham. https://doi.org/10.1007/978-3-319-33509-4_37
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DOI: https://doi.org/10.1007/978-3-319-33509-4_37
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