Gameful Markets for Collaboration and Learning

Authors

  • Stephan Leutenmayr University of Munich
  • Fabian Kneissl University of Munich
  • Sven Ziemer Bauhaus Luftfahrt
  • François Bry University of Munich

DOI:

https://doi.org/10.1609/hcomp.v1i1.13061

Keywords:

information aggregation markets, market design, rewards

Abstract

The market metaphor offers a promising form of human computation for gathering and aggregating individual opinions into a collective point of view for groups of people. In this article, we identify different kinds of market forms, their specific goals, and their participants' behavior. Building on this, we first determine appropriate reward designs for a good functioning of the markets as opinion aggregators. Furthermore, we stress potential possibilities for facilitating participants' learning. To illustrate and validate the approach proposed, we investigate two different market applications with different kinds of rewards and goals.

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Published

2013-11-03

How to Cite

Leutenmayr, S., Kneissl, F., Ziemer, S., & Bry, F. (2013). Gameful Markets for Collaboration and Learning. Proceedings of the AAAI Conference on Human Computation and Crowdsourcing, 1(1), 3-8. https://doi.org/10.1609/hcomp.v1i1.13061

Issue

Section

Disco: Human and Machine Learning in Games Workshop