Crowdster is a framework that supports capturing, aggregating, and visualizing user interaction data

1. Crowdster: Enabling Social
Navigation in Web-based
Visualization using
Crowdsourced Evaluation
Yuetling Wong Purdue University
wong64@purdue.edu
Niklas Elmqvist University of Maryland
elm@umd.edu

2. Google Map Example

3. Social navigation
• Social navigation: collect previous users’
interaction data and integrate the data
back to the visualization to predict the
trend or evaluate the visualization

4. Background
Web-based
Visualizationmany users
Interaction
Database
interaction
visualization
process
events
user A
social visualization
Web server
capture
events
present
data +
logic
Web browser

5. What is Crowdster?

6. Crowdster in Evaluation
• Performance:
– Stability
– Scalability
• In-Field Evaluation
– Advantage: immediate summarized results
– Disadvantages: misinterpret user behaviors
and collect incorrect data

7. What’s next?
• Can this framework be extended to other
applications?
– Collect data from one visualization to feed
another visualization?
– Collect data from multiple visualizations to do
group evaluation?

8. Thank you!
Contact us:
wong64@purdue.edu
elm@umd.edu