On utilizing player models to predict behavior in crowdsourcing tasks

CA Pereira Santos, JV Khan, P. Markopoulos

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-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: 6th international conference, SocInfo 2014, Barcelona, Spain, November 11-13, 2014, Proceedings
EditorsD. McFarland, L.M. Aiello
Place of PublicationCham
PublisherSpringer
Pages448-451
Number of pages4
ISBN (Electronic)9783319151687
ISBN (Print)9783319151670
DOIs
Publication statusPublished - 2014
Event3rd International Workshop on Social Media for Crowdsourcing and Human Computing, 10-11-2014 -
Duration: 10 Nov 201413 Nov 2014

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8852
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference3rd International Workshop on Social Media for Crowdsourcing and Human Computing, 10-11-2014
Period10/11/1413/11/14

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