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Analytics for Virtual Worlds

A look at metrics and analytics in Second Life from an educational perspective. This was initially presented at the Immersive Education Symposium at Boston College in January, 2008.

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Analytics for Virtual Worlds

  1. Analytics in Virtual Worlds Hilary Mason SL: Ann Enigma Johnson & Wales University
  2. Virtual World Analytics
  3. how effective is this interaction?
  4. what about this one?
  5. what’s possible here?
  8. system architecture sensor sensor sensor Second Life Web Gateway Database collect data data view data
  9. aggregate metrics
  10. space-centered visualizations
  12. What is this person doing?
  13. What is this person doing?
  14. user-centered metrics <ul><li>Models of user behavior allow humans to understand how people are using virtual worlds. </li></ul><ul><li>Currently, we can model: dancing, chatting, listening (to a presentation), shopping, creating content </li></ul>
  15. group-centered metrics
  16. qualitative metrics <ul><li>Integrate surveys/polls </li></ul><ul><li>Commenting system </li></ul><ul><li>(optionally integrates with </li></ul><ul><li>blogs) </li></ul><ul><li>Visual surveys (each click </li></ul><ul><li>counts) </li></ul><ul><li>Position-based polling </li></ul>
  17. experiential assessment
  18. <ul><li>What’s </li></ul><ul><li>NEXT ? </li></ul>
  19. Can we generalize?
  20. similar metrics on many platforms
  21. Open Standards <ul><li>Standards will </li></ul><ul><li>allow us to draw </li></ul><ul><li>conclusions across </li></ul><ul><li>worlds and across </li></ul><ul><li>platforms. </li></ul>
  22. social media needs metrics, too
  23. In 2008 we’ll see an Explosion in Virtual Worlds Platforms
  25. join in!
  26. thank you! <ul><li>Creative Commons </li></ul>Hilary Mason Ann Enigma [email_address] http://www.3greeneggs.com http://www.jwuiml.org