1. Information Understanding
Benjamin B. Bederson

2. What is the Problem? How to perceive and interact with information?
Detect patterns and outliers
Find details without losing global context
Concentrate on task (stay “in the flow”)
How to scale up to large information sets?
Technical problems
Perceptual limitations
Design problems

3. External Cognition
Step 1: Recognize human limitations

4. Human Visual Perception
Step 2: Don’t underestimate the human brain

5. Interaction
Step 3: Add interaction. If a picture is worth a thousand words, an interactive interface is worth a thousand pictures.

6. Scaling Up How do you show more than fits on the screen? abstract
link (web)
scroll (long documents)
overview+detail (e.g., photoshop)
zoom (PhotoMesa demo)
fisheye distortion (FishCal demo)
traditional
new paradigms

7. What is holding us back? Performance and computational requirements
Increased power, but increased effort
Requires learning new approaches
=> Better performance isn’t enough. We must offer much better performance without many extra costs.

8. Information Understanding
Visualizing Millions of Items
Web-Based Surveys
Simulation in Engineering
Time Series Data
Bioinformatics Visualization
Browsing Large Trees
Data Monitoring with Treemaps
Interactive Web Maps