analytics for virtual worlds
DESCRIPTION
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.TRANSCRIPT
Analytics in Virtual Worlds
Hilary MasonSL: Ann Enigma
Johnson & Wales University
Virtual World Analytics
how effective is this interaction?
what about this one?
what’s possible here?
system architecture
sensor
sensor
sensor
Second Life Web Gateway Database
collect data
data
view data
aggregate metrics
space-centered visualizations
What is this person doing?
What is this person doing?
user-centered metrics
Models of user behavior allow humans to understand how people are using virtual worlds.
Currently, we can model: dancing, chatting, listening (to a presentation), shopping, creating content
group-centered metrics
qualitative metrics
• Integrate surveys/polls• Commenting system(optionally integrates withblogs)• Visual surveys (each clickcounts)• Position-based polling
experiential assessment
What’sNEXT?
Can we generalize?
similar metrics on many platforms
Open Standards
Standards willallow us to drawconclusions across worlds and acrossplatforms.
social media needs metrics, too
In 2008 we’ll see an Explosion in Virtual Worlds Platforms
join in!
thank you!
Creative Commons
Hilary Mason Ann Enigma
[email protected]://www.3greeneggs.com
http://www.jwuiml.org