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On the Problem of Predicting Real World Characteristics from Virtual Worlds

  • Muhammad Aurangzeb AhmadEmail author
  • Cuihua Shen
  • Jaideep Srivastava
  • Noshir Contractor
Conference paper
Part of the Springer Proceedings in Complexity book series (SPCOM)

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.

Keywords

Computational social science Behavioral prediction Massive online games Virtual worlds 

Notes

Acknowledgments

Special thanks to Mushtaq Ahmad Mirza and Khalida Parveen for being there.

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Muhammad Aurangzeb Ahmad
    • 1
    Email author
  • Cuihua Shen
    • 2
  • Jaideep Srivastava
    • 1
  • Noshir Contractor
    • 3
  1. 1.University of MinnesotaMinneapolisUSA
  2. 2.University of Texas at DallasRichardsonUSA
  3. 3.Northwestern UniversityEvanstonUSA

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