On utilizing player models to predict behavior in crowdsourcing tasks

Carlos Pereira Santos, J.V. Khan, P. Markopoulos

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Abstract

Player Modeling is a research field that studies player characteristics by analyzing in-game behavior. We aim to develop independent models, which are transferable and useful beyond a game’s context. We shall demonstrate the feasibility of this approach by applying player models to crowdsourcing to predict workers’ task completion effectiveness. Specifically, we model a user’s Need for Cognition based on in-game behavior, and based on that try to assign appropriate tasks to workers.
Original languageEnglish
Title of host publicationSocial Informatics
Subtitle of host publicationSocInfo 2014 International Workshops, Barcelona, Spain, November 11, 2014, Revised Selected Papers
EditorsL.M. Aiello, D. McFarland
Place of PublicationDordrecht
PublisherSpringer
Pages448-451
ISBN (Print)978-3-319-15168-7
DOIs
Publication statusPublished - Nov 2014

Publication series

NameLNCS
Volume8852

Cite this

Pereira Santos, C., Khan, J. V., & Markopoulos, P. (2014). On utilizing player models to predict behavior in crowdsourcing tasks. In L. M. Aiello, & D. McFarland (Eds.), Social Informatics: SocInfo 2014 International Workshops, Barcelona, Spain, November 11, 2014, Revised Selected Papers (pp. 448-451). (LNCS; Vol. 8852). Dordrecht: Springer. https://doi.org/10.1007/978-3-319-15168-7_54
Pereira Santos, Carlos ; Khan, J.V. ; Markopoulos, P. / On utilizing player models to predict behavior in crowdsourcing tasks. Social Informatics: SocInfo 2014 International Workshops, Barcelona, Spain, November 11, 2014, Revised Selected Papers. editor / L.M. Aiello ; D. McFarland. Dordrecht : Springer, 2014. pp. 448-451 (LNCS).
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abstract = "Player Modeling is a research field that studies player characteristics by analyzing in-game behavior. We aim to develop independent models, which are transferable and useful beyond a game’s context. We shall demonstrate the feasibility of this approach by applying player models to crowdsourcing to predict workers’ task completion effectiveness. Specifically, we model a user’s Need for Cognition based on in-game behavior, and based on that try to assign appropriate tasks to workers.",
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Pereira Santos, C, Khan, JV & Markopoulos, P 2014, On utilizing player models to predict behavior in crowdsourcing tasks. in LM Aiello & D McFarland (eds), Social Informatics: SocInfo 2014 International Workshops, Barcelona, Spain, November 11, 2014, Revised Selected Papers. LNCS, vol. 8852, Springer, Dordrecht, pp. 448-451. https://doi.org/10.1007/978-3-319-15168-7_54

On utilizing player models to predict behavior in crowdsourcing tasks. / Pereira Santos, Carlos; Khan, J.V.; Markopoulos, P.

Social Informatics: SocInfo 2014 International Workshops, Barcelona, Spain, November 11, 2014, Revised Selected Papers. ed. / L.M. Aiello; D. McFarland. Dordrecht : Springer, 2014. p. 448-451 (LNCS; Vol. 8852).

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

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Pereira Santos C, Khan JV, Markopoulos P. On utilizing player models to predict behavior in crowdsourcing tasks. In Aiello LM, McFarland D, editors, Social Informatics: SocInfo 2014 International Workshops, Barcelona, Spain, November 11, 2014, Revised Selected Papers. Dordrecht: Springer. 2014. p. 448-451. (LNCS). https://doi.org/10.1007/978-3-319-15168-7_54