interaction: animation

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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 - PowerPoint PPT Presentation

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INTERACTION: ANIMATIONPresented by Chris Luce

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ANIMATED TRANSITIONS IN STATISTICAL DATA GRAPHICS (JEFFREY HEER)

Switch between data graphics Keep readers oriented during transitions

Understand relationships between the views

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PROS OF ANIMATED TRANSITIONS

Stay oriented Facilitate learning Decision making Increase levels of engagement

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CONS OF ANIMATED TRANSITIONS

No guarantee of improved performance Time and complexity Misleading

Animations that violate underlying data semantics

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TRANSITION TYPES IN STATISTICAL DATA GRAPHICS View Transformation Substrate Transformation Filtering Ordering Timestep Visualization Change Data Schema Change

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DESIGN CONSIDERATIONS Congruence

Maintain valid data graphics during transitions Use consistent semantic-syntactic mappings Respect semantic correspondence Avoid ambiguity

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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

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DynaVis(video)

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EXPERIMENT 1: OBJECT TRACKING

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EXPERIMENT 1: RESULTS

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EXPERIMENT 2: ESTIMATING CHANGING VALUES

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EXPERIMENT 2: RESULTS

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SUBJECTIVE PREFERENCES

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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

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ANIMATION VISUALIZATION

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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?

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TRACES VISUALIZATION

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SMALL MULTIPLES VISUALIZATION

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STUDY RESULTS Accuracy

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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

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STUDY RESULTS Subjective Preferences

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ANIMATION: CAN IT FACILITATE? (BARBARA TVERSKY)

Evaluate animation Compare: animation vs. static graphics

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SELECTIVE REVIEW

Incomparable content Incomparable procedures Failures of animation to benefit

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WHY DO ANIMATIONS FAIL?

Animations may be hard to perceive Animations may be comprehended discretely Interactivity Caveats

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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, Mireille Betrancourt. International Journal of Human Computer Studies 57:4, pp 247-262, 2002.

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