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Visual Overview Strategies

Learn about Tablelens and Spotfire tools, strategies like filtering and aggregation, and explore the advantages of visual overviews in solving the Keyhole Problem. Enhance user experience and performance with human-centered design principles.

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Visual Overview Strategies

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  1. Visual Overview Strategies cs5984: Information Visualization Chris North

  2. Homework 1 • Grading: +, , -, 0 • Tablelens • + Shows all attributes simultaneously (overview) • Sorting: relates 1 attribute  Many attributes • Spotfire • + multiple representations (scatter, 3D, bar, histo, …) • + details-on-demand better than Tablelens F+C • - scatterplot 2D occlusion problem • Scatter: relates 1 attribute  1 attribute • Strategy: • First: Tablelens for overview • Then: Spotfire for detail analysis

  3. Visual Overview Design Goals • Visual: take advantage of human visual processing • Information Rich: show as much as you can! (while maintaining a clean design) • Interaction Affordances: enable quick access to details • E.g. Zooming, Overview+Detail, Focus+Context

  4. Visual Overview Advantages Helps solve the Keyhole Problem: • Map, organization (spatial layout of concepts) • What information is (not) available? • Adds context info, relationships • Enables direct access • Encourages exploration • HCI metrics: • Improves user performance, learning time, error rates, retention, satisfaction • Studies, e.g. Beard & Walker, Chimera, North, etc.

  5. Strategy • Strategy 1: Display everything! • Only works for small scale • Strategy 2: Reduce scale to fit screen • Reduce items • Reduce attributes • Reduce value “size”

  6. Strategies • Filtering • Aggregation / Abstraction • Reduced Representation

  7. Filtering • Filter attributes • Scatterplot: selects 2 attributes, ignores rest • Filter items • VIDA (Visual Info Density Adjuster): show high priority items, representative set (video) • Human-Eye View: focused info density

  8. Aggregation • Aggregate items • Grouping several items into one (e.g. SQL “group by”) • Snap-Together Visualization: overview+detail, drill down • Semantic zooming • Pad++ (Abstraction) • Lifelines? • NetViz • Aggregate attributes • Star Coordinates

  9. Reduced Representation • Stasko, “Information Mural”, web • sanjini, luhui

  10. Assignment - Trees • Read for Tues • Rao, “Hyperbolic Tree”, book pg 382 • Joy, maulik • Kumar, “Multi-level DQ and Pruning”, book pg 295 • Read for Thurs • Johnson, “Treemaps”, book pg 152 • Stasko, “Sunburst”, web • Marcus, marty • Project groups meet with me early next week

  11. Homework #2 • Due: Thurs March 1 (1 week) • Visualization Design • Visualizing timed paths • (the bus schedule problem!)

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