From Hierarchies to Polyarchies: Visualizing Multiple Relationships - PowerPoint PPT Presentation

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From Hierarchies to Polyarchies: Visualizing Multiple Relationships

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Title: Polyarchy Visualization Author: George G. Robertson Last modified by: George G. Robertson Created Date: 10/29/1997 3:46:31 PM Document presentation format – PowerPoint PPT presentation

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Title: From Hierarchies to Polyarchies: Visualizing Multiple Relationships


1
From Hierarchies to PolyarchiesVisualizing
Multiple Relationships
  • George G. Robertson
  • Microsoft Research

2
What is the problem?
  • Hierarchies are very common
  • 20 years of hierarchy visualization RD
  • Significant problems remain
  • New problems appearing (Multiple Hierarchies)

3
Current Approaches
  • Many 2D and 3D hierarchy visualizations
  • Each works for some tasks and some scales
  • Very few have had user testing
  • Windows Tree Control
  • Many observed problems

4
Whats wrong with this picture?
5
Problems Fitting Data
  • Extreme aspect ratio (broad and shallow)
  • May be multiple hierarchies
  • Scaling issues

6
Problems Cognitive Overhead
  • Loss of context
  • Or loss of detail
  • Separate detail/overview ? extra overhead
  • Multiple focus is difficult
  • Which item is open?

7
Basic View Strategies
  • Two view (separate detail/overview views)
  • Distorted view
  • Distorted data fisheye
  • Distorted space 3D, hyperbolic
  • Focus in Context (integrated view)

8
Basic Visualization Approaches
  • Clustering
  • Galaxy of News
  • ThemeScape
  • Hot Sauce
  • Geographic
  • Floor plans
  • Street maps
  • Node-link diagrams
  • 2D diagrams
  • SemNet
  • Cone Tree
  • Fisheye Cone Tree
  • Hyperbolic viewer
  • FSN
  • XML3D
  • Indentation
  • Tree control
  • Fisheye
  • Containment
  • Treemaps
  • Pad

9
Smalltalk File Browser - 1979
  • Xerox PARC 1979

10
Fisheye Views 1986
  • Furnas, Bell Labs report 1981, CHI86

11
SemNet - 1986
  • Fairchild, Poltrock, Furnas, MCC
  • Semantic network 3D visualization

12
Cone Tree - 1991
  • Robertson, Mackinlay Card, Xerox PARC, CHI91
  • Limits
  • 10 levels
  • 1000 nodes
  • Up to 10,000

13
Cone Tree 10,000 nodes
  • Performance problems and Visual clutter

14
Fisheye Cone Tree
  • Adding Fisheye solves problems

15
TreeMap - 1991
  • Johnson Shneiderman, U. Maryland, Vis91
  • Space filling
  • 3000 objects
  • MicroLogics DiskMapper

16
FSN - 1992
  • Tesler, SGI, 1992
  • 2D layout on 3D surface
  • Loss of context when examining detail
  • Hyper-G (Graz Andrews InfoVis95)

17
Graphical Fisheye - 1992
  • Sarkar Brown, DEC SRC, CHI92

18
Rubber Sheet - 1993
  • Sarkar Snibbe, Brown, UIST93

19
Spiral Visualization - 1994
  • Mackinlay, Robertson, DeLine, Xerox PARC,
    UIST94
  • Large DAGs
  • Only shows current path

20
Hyperbolic Browser - 1994
  • Lamping Rao, Xerox PARC, UIST94
  • Projected onto circle
  • 1000s of nodes

21
Continuous Zoom - 1995
  • Bartram et al, Simon Fraser, UIST95)

22
Fsviz - 1995
  • Carriere and Kazman, Waterloo, InfoVis95
  • Up to 5000 nodes with no occlusion

23
Butterfly - 1995
  • Mackinlay, Xerox PARC, CHI95

24
Index View - 1995
  • T. Masui, Sharp, UIST95
  • Vertical picks focus
  • Horizontal controls zoom

25
H3 - 1997
  • Munzner, Stanford Univ., InfoVis97
  • Projected onto sphere
  • 20,000 nodes

26
Reconfigurable Disk Tree - 1998
  • Jeong and Pang, UC Santa Cruz, InfoVis98
  • Number of identifiable nodes3000 4000

27
Disk Tree - 1998
  • Chi et al, Xerox PARC, CHI98
  • Compact 2D representation

28
Sunburst - 2000
  • Stasko Zhang, Georgia Tech, InfoVis 2000
  • Radial space-filling
  • Techniques for viewing more detail

29
Visualization Taxonomy - 1994
  • Noik (Graphics Interface94)
  • Implicit (use of perspective)
  • Continuous focus and context
  • Filtered (removing items of low interest)
  • Discrete focus and context
  • Distorted (size, shape, position of elements)
  • Adorned (color, texture)

30
Unresolved Problems
  • Multiple focus

31
Folding Paper - proposal
32
Multiple Focus in 3D - proposal
33
InfoBowl - proposal
34
Unresolved Problems
  • Multiple focus
  • Multiple hierarchies

35
Multiple Hierarchies
  • One hierarchy changing over time
  • Time Tube
  • Taxonomy visualization
  • MultiTrees (shared subtrees)
  • XML3D
  • Polyarchy (multiple intersecting hierarchies)

36
Time Tube - 1998
  • Chi et al., Xerox PARC, CHI98

37
Taxonomy Visualization - 2000
  • Graham et al., Napier Univ. IJHCS 2000

38
MultiTrees - 1994
  • Furnas Zacks, Bell Core, CHI94
  • DAGs with shared subtrees

39
XML3D - 2000
  • Munzner, Stanford, IJHCS 2000

40
Polyarchy Visualization Problem People and
Resources Example
  • Multiple Hierarchies Exist
  • Direct reporting
  • Cost or Profit Center
  • Location
  • Implicit relationships

But only one hierarchy is shown
41
Show Other Hierarchies
Find Daniel Robbins
  • Naming hierarchy is default
  • Allow maintainer to define hierarchies
  • Show search results in current view
  • Morph between views

42
Visualization Opportunities
  • Perceptual cues to provide pattern information
  • User can search or browse
  • Show hierarchies an object participates in
  • Show relationships between hierarchies
  • Show relationships between objects

43
One Selection, One Hierarchy
44
Visual Pivot Other Hierarchies
45
Relationships Between People
46
Relationships Between Multiple People
47
Unresolved Problems
  • Multiple focus
  • Multiple hierarchies
  • Evaluate hierarchy visualizations

48
Polyarchy VisualizationUser Studies
  • Study 1 Mockup of visual pivot
  • Issues list guided development of prototype
  • Study 2 Prototype 2D vs 3D
  • Visual Pivot animation was misleading
  • Animation Speeds were too slow

49
Polyarchy VisualizationUser Studies
  • Study 3 Animation Styles and Speeds
  • Six animation styles Picked two best
  • Twice as fast as study 2 Still too slow
  • Study 4 Prototype 2D vs 3D
  • Identified most effective animation style
  • Identified best speed range

50
Two Styles of Visual Pivot
  • Sliding
  • Rotating

51
Visual Pivot StylesSliding versus Rotating
52
Visual Pivot Styles Learning Effects
53
Visual Pivot Speed
54
Unresolved Problems
  • Multiple focus
  • Multiple hierarchies
  • Evaluate hierarchy visualizations
  • Get the solutions out to real users!

55
Summary
  • Use perception to reduce cognitive overhead
  • Need continued research to solve problems
  • Help user focus on multiple items of interest
    without losing context
  • Multiple hierarchies and other relationships
  • Handle larger scale
  • Evaluate ? Iterate ? get results out
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