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2014 | OriginalPaper | Chapter

On the Problem of Predicting Real World Characteristics from Virtual Worlds

Authors : Muhammad Aurangzeb Ahmad, Cuihua Shen, Jaideep Srivastava, Noshir Contractor

Published in: Predicting Real World Behaviors from Virtual World Data

Publisher: Springer International Publishing

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Abstract

Availability of massive amounts of data about the social and behavioral characteristics of a large subset of the population opens up new possibilities that allow researchers to not only observe people’s behaviors in a natural, rather than artificial, environment but also conduct predictive modeling of those behaviors and characteristics. Thus an emerging area of study is the prediction of real world characteristics and behaviors of people in the offline or “real” world based on their behaviors in the online virtual worlds. We explore the challenges and opportunities in the emerging field of prediction of real world characteristics based on people’s virtual world characteristics, i.e., what are the major paradigms in this field, what are the limitations in current predictive models, limitations in terms of generalizability, etc. Lastly, we also address the future challenges and avenues of research in this area.

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next chapter The Use of Social Science Methods to Predict Player Characteristics from Avatar Observations
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Metadata
Title
On the Problem of Predicting Real World Characteristics from Virtual Worlds
Authors
Muhammad Aurangzeb Ahmad
Cuihua Shen
Jaideep Srivastava
Noshir Contractor
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_1

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