1. Interaction Week 7 CPSC 533C, Spring 2003
5 March 2003
Tamara Munzner

2. Videos for readings
SDM video
Dynamic queries video
PARC 3DRooms video

3. Scalable interaction
Interactive Information Visualization of One Million Items, Jean-Daniel Fekete and Catherine Plaisant, InfoVis2002
Graphics tricks for realtime interaction
Same intent as cognitive coprocessor
Zooming, flipping, animated transitions

4. More linked views key infovis interaction principle
so far: trellis, xgobi, cluster calendar, parallel coords
new examples: Attribute Explorer, EDV, HCE

5. Attribute Explorer
Visualization for Functional Design, Bob Spense, Lisa Tweedie, Huw Dawkes, Hua Su, InfoVis 95
[video]

6. EDV Exploratory Data Visualizer
Graham J. Wills. Visual Exploration of Large Structured Datasets. In New Techniques and Trends in Statistics, IOS Press, 1995.

7. Highlighting (Focusing)
Focus user attention on a subset of the data within one graph (from Wills 95) [

8. Link different types of graphs: Scatterplots and histograms and bars (from Wills 95)[

9. Baseball data: Scatterplots and histograms and bars (from Wills 95)
how long
in majors
select high
salaries
avg career
HRs vs avg
career hits
(batting ability)
avg assists vs
avg putouts
(fielding ability)
distribution
of positions
played [

10. Linking types of assist behavior to position played (from Wills 95)[

11. HCE Hierarchical Clustering Explorer
Jinwook Seo, Ben Shneiderman, "Interactively Exploring Hierarchical Clustering Results," IEEE Computer, Volume 35, Number 7, pp , July 2002.

12. HCE Linked views Dendrogram navigation Comparing multiple dendrograms
[demo]

13. False negatives vs. positives
[graphics.stanford.edu/courses/cs448b-02-spring/lectures/interaction/walk036.html