On utilizing player models to predict behavior in crowdsourcing tasks

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

doi:10.1007/978-3-319-15168-7_54

On utilizing player models to predict behavior in crowdsourcing tasks

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

Systemic Change

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

1 Citation (Scopus)

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 language	English
Title of host publication	Social Informatics
Subtitle of host publication	SocInfo 2014 International Workshops, Barcelona, Spain, November 11, 2014, Revised Selected Papers
Editors	L.M. Aiello, D. McFarland
Place of Publication	Dordrecht
Publisher	Springer
Pages	448-451
ISBN (Print)	978-3-319-15168-7
DOIs	https://doi.org/10.1007/978-3-319-15168-7_54
Publication status	Published - Nov 2014

Publication series

Name	LNCS
Volume	8852

Access to Document

10.1007/978-3-319-15168-7_54

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). Springer. https://doi.org/10.1007/978-3-319-15168-7_54

@inproceedings{318ecbfc47b04e2588241b88fe04159e,

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}, Carlos and J.V. Khan and P. Markopoulos",

year = "2014",

month = nov,

doi = "10.1007/978-3-319-15168-7_54",

language = "English",

isbn = "978-3-319-15168-7",

series = "LNCS",

publisher = "Springer",

pages = "448--451",

editor = "L.M. Aiello and D. McFarland",

booktitle = "Social Informatics",

address = "Germany",

}

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 proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - On utilizing player models to predict behavior in crowdsourcing tasks

AU - Pereira Santos, Carlos

AU - Khan, J.V.

AU - Markopoulos, P.

PY - 2014/11

Y1 - 2014/11

N2 - 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.

AB - 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.

U2 - 10.1007/978-3-319-15168-7_54

DO - 10.1007/978-3-319-15168-7_54

M3 - Conference contribution

SN - 978-3-319-15168-7

T3 - LNCS

SP - 448

EP - 451

BT - Social Informatics

A2 - Aiello, L.M.

A2 - McFarland, D.

PB - Springer

CY - Dordrecht

ER -

On utilizing player models to predict behavior in crowdsourcing tasks

Abstract

Publication series

Access to Document

Fingerprint

Cite this