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Identifying User Demographic Traits Through Virtual-World Language Use

  • Aaron LawsonEmail author
  • John Murray
Conference paper
Part of the Springer Proceedings in Complexity book series (SPCOM)

Abstract

The paper presents approaches for identifying real-world demographic attributes based on language use in the virtual world. We apply features developed from the classic literature on sociolinguistics and sound symbolism to data collected from virtual-world chat and avatar naming to determine participants’ age and gender. We also examine participants’ use of avatar names across virtual worlds and how these names are employed to project a consistent identity across environments, which we call “traveling characteristics.”

Keywords

Virtual worlds Linguistic features Machine learning 

Notes

Acknowledgments

The authors acknowledge the Air Force Research Laboratory at Wright Patterson Air Force Base for sponsorship of this research under contract FA8650-10-C-7009.

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  1. 1.Speech Technology and Research (STAR) LabSRI InternationalMenlo ParkUSA
  2. 2.Computer Science LaboratorySRI InternationalMenlo ParkUSA

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