Understanding avatar sentiments using verbal and non- verbal cues

Yulei Zhang, Yan Dang, Susan A. Brown, Hsinchun Chen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

With the increased popularity of virtual worlds, hundreds of thousands of people from different physical locations can join virtual worlds. In this computer-based simulated 3D environment, avatars can both interact with each other and the environment. This new type of world has important implications for business, education, and society at large. In order to fully use the benefits of virtual worlds, it is important to know how the residents (i.e., avatars) behave, such as how they express sentiments. This research in progress seeks to study avatar sentiments in virtual worlds to examine whether and how sentiments are conveyed by avatars. Both verbal and non-verbal cues will be utilized in the sentiment analysis. To conduct the study, an advanced data collection method is leveraged to obtain various types of avatar data from a large number of real virtual world residents in Second Life in an effective and efficient way.

Original languageEnglish (US)
Title of host publication18th Americas Conference on Information Systems 2012, AMCIS 2012
Pages4030-4035
Number of pages6
StatePublished - 2012
Event18th Americas Conference on Information Systems 2012, AMCIS 2012 - Seattle, WA, United States
Duration: Aug 9 2012Aug 12 2012

Publication series

Name18th Americas Conference on Information Systems 2012, AMCIS 2012
Volume5

Other

Other18th Americas Conference on Information Systems 2012, AMCIS 2012
Country/TerritoryUnited States
CitySeattle, WA
Period8/9/128/12/12

Keywords

  • Avatar data collection
  • Avatar sentiments
  • Non-verbal Cues
  • Second life
  • Verbal cues

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications
  • Information Systems
  • Library and Information Sciences

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