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Debates: Overview+Detail vs. Focus+Context 2-D vs. 3-D

Explore the debate between 2D and 3D information visualization, from overview-detail to focus-context approaches. Discover the effectiveness of different visualization methods and interactions, with insights from studies and practical applications.

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Debates: Overview+Detail vs. Focus+Context 2-D vs. 3-D

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  1. Debates:Overview+Detail vs. Focus+Context2-D vs. 3-D cs5984: Information Visualization Chris North

  2. Overview+Detail vs. Focus+Context

  3. Today • Hornbaek, “Fisheye vs. Overview+Detail”, web • Luhui, Shumei

  4. 2-D vs. 3-D

  5. Multi-Dimensional data • Variety of studies: • Merwin, Wickens, Boyle, Boyer, Hollands, Barfield • data plots, air traffic control, … • E.g: 2 2D views vs. 1 3D view vs. 2D+color

  6. Results • Hard to make sense of it all… • In general: • 2D: better accuracy, efficiency • 3D: better overview, trends • Architects know this! • Orthographic 3d for overview • Plan, profile, section (?) for exact measurements

  7. Ware et al. • Node+link graph structures in 3D space • 4 versions: • Static 2D = 3D graph projected onto 2D, static • Stereo 3D • Rotation 3D (head-coupled) • Stereo+Rotation 3D • Task: path finding • Exist path of length 2 between 2 highlighted nodes?

  8. Results • Error rates different, Response times same • Static 2D worst • Stereo 3D: 1.6x better • Rotation 3D: 2.2x better • Stereo+Rot: 3.0x better • Method of rotation not important

  9. So…? • Static 3D beat static 2D • 3D good for revealing complex structure? • Better to see things that are 3D in 3D! (Hubona) • 2D = 3D - stereo - rotation • Of course it’s the worst! • What about 2D interaction, alternative layouts? • Springs, aggregation, focal nodes, hierarchization,…

  10. Modjeska • Hierarchical data in VR • 2 UIs: • 3D fly through (6 dof, VRML) similar to SGI FSN • 2D map-view (top view of VR) with zoom/pan like Pad++

  11. Results • Number of search targets found: • 3D: 11.0 • 2D: 13.6 (sig) • 3D navigation cumbersome • 3D version is basically 2D!

  12. Carr et al. • 3D visualizations for Hierarchical data: • Landscape: like 3D in Modjeska • InfoCube: 3D containment, boxes in boxes, transparency • CamTree: like ConeTree • VRML 6 dof navigation only • Tasks: • Search • Count • Compare

  13. Results • 3 Tasks: Search, Count, Compare • Best to worst (perf time & errors): • Landscape • CamTree • InfoCube • Landscape: users used as 2D! • Bird’s eye, then zoom in

  14. So…? • 3D (6 dof) navigation cumbersome • Custom interaction techniques more important • When doing 3D Vis, don’t just do 6 dof VR • E.g. ConeTree directory rotations, pruning, DQ, etc. • VR can beat PR! (Physical Reality) • Need overview map for 3D • Disorientation problem • e.g. Harmony web browser

  15. Conflicting Results? • Design of 3D navigation controls • Head tracking (natural) vs. control panel (unnatural) • “Look at” vs. “Be in” • Fish-tank VR vs. Immersive VR • Fish-tank: 2 dof, never lost, easier • Immersive: 6 dof, disorientation, harder • Multi-D vs. Graph vs. Tree • Tree can be done well in 2D

  16. Summary • Interaction design more important than 2D/3D • Can make good displays in 2D or 3D • Interaction makes or breaks • Currently: 2D interaction designs more advanced • Fisheye, F+C, O+D, zoom/pan,… • Fish-tank 3D: • Promising results for visualizing complex structure • E.g: Networks, biology molecules

  17. To Do • Compare good 2D Vis. to good 3D Vis. • E.g: HyperbolicTree vs. ConeTree • Theory • Cost structure of information access (Card et al.) • Calculate clicks/time to access info • What about Immersive VR? • Tool builders + evaluators • Builders don’t test their good tools • Evaluators do good tests on lame tools

  18. Assignment • Tues: fun stuff • Project presentations, paper

  19. Project Presentations • Dynamic Data Visualization • Umer, Dilshad, Satyajit • Multi-Dimensional Parameter Space Visualization • Ravi, Prasuna, Ashwini, Vijay • Web Snap • Sanjini, Joy, Aarthi • Data Structure Visualization Evaluation • Priya, Gowri, Fanye, Aejaaz • Data Structure Visualization Tool • Sumithra, Luhui, Shumei (and Matt, Sam) • Biotech Visualization • Margaret, Josh, Matt, Yuying • Chat Log Visualization • Marcus, Marty, Purvi • Menu Visualization • Chris • Data Density and Distraction Evaluation • Maulik, Ajay, Denzil Thursday,April 26 Tuesday,May 1

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