1. I NTERACTION : A NIMATION Presented by Chris Luce 1

2. A NIMATED T RANSITIONS IN S TATISTICAL D ATA G RAPHICS (J EFFREY H EER ) Switch between data graphics Keep readers oriented during transitions Understand relationships between the views 2

3. P ROS OF A NIMATED T RANSITIONS Stay oriented Facilitate learning Decision making Increase levels of engagement 3

4. C ONS OF A NIMATED T RANSITIONS No guarantee of improved performance Time and complexity Misleading Animations that violate underlying data semantics 4

5. T RANSITION T YPES IN S TATISTICAL D ATA G RAPHICS View Transformation Substrate Transformation Filtering Ordering Timestep Visualization Change Data Schema Change 5

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7. D ESIGN C ONSIDERATIONS Congruence Maintain valid data graphics during transitions Use consistent semantic-syntactic mappings Respect semantic correspondence Avoid ambiguity 7

8. D ESIGN C ONSIDERATIONS Apprehension Group similar transitions Minimize occlusion Maximize predictability Use simple transitions Use staging for complex transitions Make transitions as long as need, but no longer 8

9. DynaVis (video) 9

10. E XPERIMENT 1: O BJECT T RACKING 10

11. E XPERIMENT 1: R ESULTS 11

12. E XPERIMENT 2: E STIMATING C HANGING V ALUES 12

13. E XPERIMENT 2: R ESULTS 13

14. S UBJECTIVE P REFERENCES 14

15. E FFECTIVENESS OF A NIMATION IN T REND V ISUALIZATION (G EORGE R OBERTSON ) Presenter knows what happens and tells audience what to look for Problem with analysis or data exploration Replay animation many times 15

16. A NIMATION V ISUALIZATION 16

17. Q UESTIONS ABOUT T REND V ISUALIZATION What effect does the dataset size have? Does the animation technique work for analysis? Are there alternatives that are more effective? 17

18. T RACES V ISUALIZATION 18

19. S MALL M ULTIPLES V ISUALIZATION 19

20. S TUDY R ESULTS Accuracy 20

21. S TUDY R ESULTS Task Completion Time Animation was fastest in Presentation and slowest in Analysis Traces and Small Multiples are both faster than Animation when used for Analysis 21

22. S TUDY R ESULTS Subjective Preferences 22

23. A NIMATION : CAN IT FACILITATE ? (B ARBARA T VERSKY ) Evaluate animation Compare: animation vs. static graphics 23

24. S ELECTIVE R EVIEW Incomparable content Incomparable procedures Failures of animation to benefit 24

25. W HY DO ANIMATIONS FAIL ? Animations may be hard to perceive Animations may be comprehended discretely Interactivity Caveats 25

26. R EFERENCES Jeffrey Heer, George Robertson. Animated Transitions in Statistical Data Graphics. IEEE Information Visualization (InfoVis) 2007. George Robertson, Roland Fernandez, Danyel Fisher, Bongshin Lee, John Stasko, "Effectiveness of Animation in Trend Visualization", IEEE Transactions on Visualization and Computer Graphics, (Paper presented at InfoVis '08), Vol. 14, No. 6, November/December 2008, pp. 1325-1332. Animation: Can It Facilitate? Barbara Tversky, Julie Morrison, Mireille Betrancourt. International Journal of Human Computer Studies 57:4, pp 247-262, 2002. 26