1. Ultra-High Resolution Information Visualization CS 5764 Sarah Peck, Chris North Credits: Beth Yost, Bob Ball, Christopher Andrews, Mike DellaNoce, Candice Luebbering, Sarah Peck, Lauren Shupp, John Booker

2. Research Questions Fundamental issues: What is the benefit for visualization? in terms of Perception, Navigation, Awareness Limits of visual scalability? Display design issues: How big? How shaped? Visualization design issues: How to embed more information? Interaction design issues: How to point? pan? zoom? What is the impact of large high-resolution displays on visualization?

3. Empirical Results: High-Resolution 2-10x faster task performance Curved displays speed some tasks by 30% Reduce frustration by 50% Reduce virtual navigation actions by 75% Increase physical navigation 300% Analyze 22x more data, only 3x more time, while maintaining accuracy Greater situational awareness Easier interaction Short initial learning time Analytic force multiplier

4. Display Space # of pixels Physical Size of display Pixel Density = # of pixels / display size “Resolution” = density? or # of pixels? constant density line

5. VT GigaPixel Laboratory ~200 Mpixels, scalable Reconfigurable Multiple display technologies Diverse input devices Link to AwareLab, VICON

6. Analyst Workspace Options 9 tiled LCD panels Single CPU MS Windows Small cubicle < $5,000 24 tiled LCD panels Curved configuration Multi-CPU Large cubicle/office ~ $20,000

7. Collaborative Workspace Options 18 Rear-projection blocks near-seamless Multi-CPU Large conference room ~ $150,000 50 tiled LCD panels Touch-sensitive Multi-CPU Medium conference room ~ $120,000

8. LCD vs. Rear-projection

9. Variables # pixels, display size, density Shape, curvature, horizontal / vertical Brightness, contrast, color, clarity Uniformity Alignment Bezels, seams Technology type Footprint Maintenance Input technique

10. User Input Devices / Techniques Videos…

11. High-Res Visualization Design

12. Displaying more data More entities More attributes Embed details Larger spatial area Multiple levels of scale Heterogeneous data Task context info

13. More entities

14. More attributes

15. Embed details Storyboard notecards

16. Design Suggestions Take advantage of fast physical navigation to replace slow virtual navigation Design to take advantage of visual aggregation Consider what is perceptible from various physical distances Consider multiple strategic labels and both local and global legends Choose scalable encodings Consider effect of display characteristics

17. Enable Physical Navigation To reduce Virtual Navigation (mouse…) Avoid tethered input devices

18. Visual Aggregation Like semantic zooming

19. Physical Adaptation

21. Strategic Placement Consider multiple strategic labels and both local and global legends

22. Graphically Scalable Encodings ScalableNot Scalable Number of glyphsNumber of perceivable colors Glyph sizeGlyph orientation Over plotting, spatial position 3D occlusion Distortion techniquesNetwork connectivity edge crossing

23. Display Characteristics

24. Today’s paper Shupp et al “Size and curvature of Hi-Res displays” Presenter: Sunghee Park

25. Empirical Results

26. More pixels = Faster Vis Task Performance Display size vs. User’s task performance time  Faster Larger display size → Users were 8 times faster with 8 times more screen space

27. Physical Navigation Wide field of view

28. Greater Situational Awareness With more pixels: 92% claim greater awareness 70% claim easier interaction Subjects used more proactive strategies With larger screens, users were more aware due to spending less percentage of their time navigating.

29. 1 Monitor 45% 1% 2% 35% 8% 1% 4% 2% 2% 4 Monitors <1% <1% 4% 6% 9% 16% 64% <1% With larger display, analysts spent more time on task and less time on interface manipulation More Time on Task

30. # of Monitor(s) Mouse Clicks Mouse Clicks Average # of Mouse Clicks by Display Size Less Time Wasted With larger screen, ¼ fewer mouse clicks to accomplish the same analytic tasks

31. Curvature Faster task performance than flat, 30% Causes different insight than flat Localized vs global insights

32. Data Scalability: Beyond Visual Acuity Display Size DataDisplay Time x Attributes TotalPixelsArea (24 LCDs) Small14 x 145,4882560x768 Medium29 x 2923,5485120x1536 Large58 x 5894,19210240x3072

33. Small Multiples 1976 White Female 2 Mp 32 Mp Years Demographic Groups US Map

34. Embedded Visualizations Bar Matrix Time-Series Graph Demographic Groups Years US Map

35. Data Scalability: Beyond Visual Acuity Efficient: 17x more data, 2x more time Accuracy maintained Embedded vis design scales better Spatial grouping is important on Large Displays Used physical navigation & visual aggregation

36. Publications CHI 2005: “Effects of Tiled, High-Resolution …” Interact 2005: “Analysis of User Behavior…” HCI 2005: “Evaluating the Benefits…for Navigating Maps” AAG 2006: “Map Reading Efficiency on High-Resolution…” Graphics Interface 2006: “Viewport Size & Curvature…” ISI 2006: “Intelligence Analysis using High-Resolution…” InfoVis 2006: “Scalability of Visualization…” and Demo Interacting with Computers: “High-Resolution Gaming…” British HCI: “Applying Embodied Interaction…” Computers & Graphics: “Realizing Embodied Interaction…” IVS: “Designing Info Visualizations for Hi-Res…” CHI 2007: “Perceptual Scalability with Hi-Res…” CHI 2007: “Physical vs Virtual Navigation…”