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On the Problem of Predicting Real World Characteristics from Virtual Worlds Read chapter Read first chapter

2014 | OriginalPaper | Chapter

The Use of Social Science Methods to Predict Player Characteristics from Avatar Observations

Authors : Carl Symborski, Gary M. Jackson, Meg Barton, Geoffrey Cranmer, Byron Raines, Mary Magee Quinn

Published in: Predicting Real World Behaviors from Virtual World Data

Publisher: Springer International Publishing

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Abstract

The purpose of this study was to investigate the extent to which real world characteristics of massively multiplayer online role-playing game (MMORPG) players can be predicted based on the characteristics and behavior of their avatars. Ground truth on participants’ real world characteristics was obtained through the administration of validated measures of personality and authoritarian ideology, as well as a demographics form. A team of trained assessors used quantitative assessment instruments to evaluate avatar characteristics, behavior, and personality from a recorded session of the participant’s typical gameplay. The statistical technique of discriminant analysis was then applied to create predictive models for players’ real world characteristics such as gender, approximate age, and education level, using the variables generated through observational assessment of the avatar.

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previous chapter On the Problem of Predicting Real World Characteristics from Virtual Worlds
next chapter Analyzing Effects of Public Communication onto Player Behavior in Massively Multiplayer Online Games
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Metadata
Title
The Use of Social Science Methods to Predict Player Characteristics from Avatar Observations
Authors
Carl Symborski
Gary M. Jackson
Meg Barton
Geoffrey Cranmer
Byron Raines
Mary Magee Quinn
Copyright Year
2014
Book
Predicting Real World Behaviors from Virtual World Data

Print ISBN: 978-3-319-07141-1

Electronic ISBN: 978-3-319-07142-8

Copyright Year: 2014

DOI
https://doi.org/10.1007/978-3-319-07142-8_2

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