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Interaction: Animation

Interaction: Animation. Presented by Chris Luce. Animated Transitions in Statistical Data Graphics (Jeffrey Heer ). Switch between data graphics Keep readers oriented during transitions Understand relationships between the views. Pros of Animated Transitions. Stay oriented

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Interaction: Animation

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  1. Interaction: Animation Presented by Chris Luce

  2. Animated Transitions in Statistical Data Graphics (Jeffrey Heer) • Switch between data graphics • Keep readers oriented during transitions • Understand relationships between the views

  3. Pros of Animated Transitions • Stay oriented • Facilitate learning • Decision making • Increase levels of engagement

  4. Cons of Animated Transitions • No guarantee of improved performance • Time and complexity • Misleading • Animations that violate underlying data semantics

  5. Transition Types in Statistical Data Graphics • View Transformation • Substrate Transformation • Filtering • Ordering • Timestep • Visualization Change • Data Schema Change

  6. Design Considerations • Congruence • Maintain valid data graphics during transitions • Use consistent semantic-syntactic mappings • Respect semantic correspondence • Avoid ambiguity

  7. Design Considerations • 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. DynaVis (video)

  9. Experiment 1: Object Tracking

  10. Experiment 1: Results

  11. Experiment 2: Estimating Changing Values

  12. Experiment 2: Results

  13. Subjective Preferences

  14. Effectiveness of Animation in Trend Visualization (George Robertson) • Presenter knows what happens and tells audience what to look for • Problem with analysis or data exploration • Replay animation many times

  15. Animation Visualization

  16. Questions about Trend Visualization • What effect does the dataset size have? • Does the animation technique work for analysis? • Are there alternatives that are more effective?

  17. Traces Visualization

  18. Small Multiples Visualization

  19. Study Results • Accuracy

  20. Study Results • 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. Study Results • Subjective Preferences

  22. Animation: can it facilitate? (Barbara Tversky) • Evaluate animation • Compare: animation vs. static graphics

  23. Selective Review • Incomparable content • Incomparable procedures • Failures of animation to benefit

  24. Why do animations fail? • Animations may be hard to perceive • Animations may be comprehended discretely • Interactivity • Caveats

  25. References • 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, MireilleBetrancourt. International Journal of Human Computer Studies 57:4, pp 247-262, 2002.

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