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

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Stereo Rotation 3D. Task: path finding. Exist path of length 2 between 2 highlighted nodes? ... 2D = 3D - stereo - rotation. Of course it's the worst! ... – PowerPoint PPT presentation

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


1
DebatesOverviewDetail vs. FocusContext2-D
vs. 3-D
  • cs5984 Information Visualization
  • Chris North

2
OverviewDetail vs. FocusContext
3
Today
  • Hornbaek, Fisheye vs. OverviewDetail, 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. 2Dcolor

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.
  • Nodelink graph structures in 3D space
  • 4 versions
  • Static 2D 3D graph projected onto 2D, static
  • Stereo 3D
  • Rotation 3D (head-coupled)
  • StereoRotation 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
  • StereoRot 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 its 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!
  • Birds eye, then zoom in

14
So?
  • 3D (6 dof) navigation cumbersome
  • Custom interaction techniques more important
  • When doing 3D Vis, dont 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, FC, OD, 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 dont 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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