Interactive Visual Mapping The key to Information Visualization

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Interactive Visual MappingThe key to
Information Visualization

• Pin Ren
• with Conrad Albrecht-Buehler, Prof. Watson

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What is information visualization

• The use of computer-supported, interactive,
  visual representations of abstract data to
  amplify cognition
• --Card, Mackinlay, Shneiderman

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The Problem
Human
Data
Data Transfer
Visual Presentation
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Visual Representation Matters

• A picture is worth a thousand words

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A Bigger problem
Massive Data Set
Human
Data Transfer
Interactive Visual Representation
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InfoVis Pipeline
task
Raw data (information)
Visualization(views)
Data tables
Visualstructures
Datatransformations
Visualmappings
Viewtransformations
User interaction
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HCI issues involved

• User Performance
• Learning curve
• Error rate
• Retention

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Our Research

• Stock Market data (Anderson, Kellogg)
• System security data (Dinda)
• Text Stream (Infolab)
• 2D vs. 3D
• Static vs. Dynamic

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Graph Stacking

• Basic idea
• Each stream represented by a graph
• The order of graphs ---- clustering
• Focus and Context
• Zoom in/Drill Down
• Map visual attributes with data properties

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Card
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Histograph

• To find pattern, trend, correlation, outlier,
  cluster, change over time
• Overlay graph
• Brightness----Pixel Overlap

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Conclusion

• Interactive Visual Mapping is crucial to InfoVis
• Good mapping should be
• Computable (machine can handle)
• Comprehensible (human can understand)
• Reversible (Vis?Data)
• A very promising research field.

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Questions?