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Analysing Incentive Strategies to Promote Participation in Crowdsourcing Systems

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Multi-Agent Systems and Agreement Technologies (EUMAS 2015, AT 2015)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9571))

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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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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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Correspondence to E. del Val .

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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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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-33508-7

  • Online ISBN: 978-3-319-33509-4

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