@inproceedings{1adfdd70bdb04178b35eb9e20956d2cb,
title = "On utilizing player models to predict behavior in crowdsourcing tasks",
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{\textquoteright}s context. We shall demonstrate the feasibility of this approach by applying player models to crowdsourcing to predict workers{\textquoteright} task completion effectiveness. Specifically, we model a user{\textquoteright}s Need for Cognition based on in-game behavior, and based on that try to assign appropriate tasks to workers.",
author = "{Pereira Santos}, CA and JV Khan and P. Markopoulos",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2015. Copyright: Copyright 2015 Elsevier B.V., All rights reserved.; 3rd International Workshop on Social Media for Crowdsourcing and Human Computing, 10-11-2014 ; Conference date: 10-11-2014 Through 13-11-2014",
year = "2014",
doi = "10.1007/978-3-319-15168-7_54",
language = "English",
isbn = "9783319151670",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer",
pages = "448--451",
editor = "D. McFarland and L.M. Aiello",
booktitle = "Social informatics: 6th international conference, SocInfo 2014, Barcelona, Spain, November 11-13, 2014, Proceedings",
}