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Simulation-Based Modeling and Evaluation of Incentive Schemes in Crowdsourcing Environments

  • Ognjen Scekic
  • Christoph Dorn
  • Schahram Dustdar
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8185)

Abstract

Conventional incentive mechanisms were designed for business environments involving static business processes and a limited number of actors. They are not easily applicable to crowdsourcing and other social computing platforms, characterized by dynamic collaboration patterns and high numbers of actors, because the effects of incentives in these environments are often unforeseen and more costly than in a well-controlled environment of a traditional company.

In this paper we investigate how to design and calibrate incentive schemes for crowdsourcing processes by simulating joint effects of a combination of different participation and incentive mechanisms applied to a working crowd. More specifically, we present a simulation model of incentive schemes and evaluate it on a relevant real-world scenario. We show how the model is used to simulate different compositions of incentive mechanisms and model parameters, and how these choices influence the costs on the system provider side and the number of malicious workers.

Keywords

rewards incentives crowdsourcing social computing collective adaptive systems 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Ognjen Scekic
    • 1
  • Christoph Dorn
    • 1
  • Schahram Dustdar
    • 1
  1. 1.Distributed Systems GroupVienna University of TechnologyAustria

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