On utilizing player models to predict behavior in crowdsourcing tasks

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

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

Samenvatting

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.
Originele taal-2Engels
TitelSocial Informatics
SubtitelSocInfo 2014 International Workshops, Barcelona, Spain, November 11, 2014, Revised Selected Papers
RedacteurenL.M. Aiello, D. McFarland
Plaats van productieDordrecht
UitgeverijSpringer
Pagina's448-451
ISBN van geprinte versie978-3-319-15168-7
DOI's
StatusGepubliceerd - nov 2014

Publicatie series

NaamLNCS
Volume8852

Citeer dit

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 (editors), Social Informatics: SocInfo 2014 International Workshops, Barcelona, Spain, November 11, 2014, Revised Selected Papers (blz. 448-451). (LNCS; Vol. 8852). Dordrecht: Springer. https://doi.org/10.1007/978-3-319-15168-7_54