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Information Visualization on Large Displays

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Title: Information Visualization on Large Displays


1
Information Visualization on Large Displays
  • Readings for today
  • 1. Visual Scalability
  • 2. Large Displays Will it ever be enough?

2
What is Information Visualization?
(From Dr. Chris Norths cs5764 class slides)
  • The use of computer-supported, interactive,
    visual representations of abstract data to
    amplify cognition
  • Card, Mackinlay, Shneiderman

3
Visual Scalability
  • Authors Eick and Karr

4
What is Visual Scalability?
  • Definition Capability of visualization tools
    effectively to display large datasets
  • Measurement
  • Responses F(factors, data)
  • Modest approach
  • database metrics
  • visualization characteristics

Discussion Question 1 How might using the same
visualization on a larger display change user
insights?
5
Factors Affecting Visual Scalability
  • Human Perception
  • Monitor Resolution
  • Visual Metaphors
  • Interactivity
  • Data Structures and Algorithms
  • Computational Infrastructure

6
Perception and Resolution
  • 6.5 Million Perceivable Pixels
  • Want to See Both Details and the Structure
  • Monitor Resolution is the Limiting Factor

7
Bar Chart Attributes/colors Number of bars
Matrix View Glyph size Aspect ratio
Landscapes Glyph size Aspect ratio 3D Occlusion
Network Views Connectivity Distortion
Scatterplots Over plotting
Histograms Number of bins
Discussion Question 2 Which scalability problems
go away with a larger display?
8
Data Sheets Navigability
ParaBoxes Over plotting
Time Tables Over plotting
9
Interactivity
  • Panning Zooming
  • Overview Detail (301) eliminates scrollbar
  • Zoom factor 51
  • Focus Context
  • Distortion
  • Zoom factor 51
  • Identification and Selection
  • Automatic Aggregation
  • Brushing

Discussion Question 3 How might pz or od be
implemented for large displays?
10
Increasing Visual Scalability
  • Aggregation
  • Improved Visual Metaphors
  • Level of detail rendering (semantic zoom)
  • Cutting plane
  • Reduce number of labels
  • Draw significant points last
  • Jittering

Discussion Question 4 How does computational
aggregation compare to visual aggregation? Which
is more accurate?
11
Increasing Visual Scalability (cont.)
  • Exploiting Interactivity
  • Larger views, time as a dimension
  • Continuous zoom/zoom bars
  • Rendering progressively less detail
  • Hiding unselected items
  • Multiple Perspectives
  • Strengths of each
  • Central view - overview
  • Supporting views- act as filters

Discussion Question 5 With multiple perspectives
on a large display, what problems would we
have? How would interaction (such as brushing)
change?
12
Discussion Questions
  • How might using the same visualization on a
    larger display change user insights?
  • Which scalability problems go away with a larger
    display?
  • How might pz or od be implemented for large
    displays?
  • How does computational aggregation compare to
    visual aggregation? Which is more accurate?
  • With multiple perspectives on a large display,
    what problems would we have? How would
    interaction (such as brushing) change?
  • Visual encoding the same on small and large
    displays?

13
Large Displays Will it ever be enough?
  • Authors May and Thomas

14
Background
  • InfoVis 05 Workshop
  • PNNL
  • HI-Space Human Information Workspace
  • recognizes multiple simultaneous hands
  • wall is primarily only a display surface
  • Video

Discussion Question 1 What are some of the
tradeoffs between having controls on/off a large
display?
15
Current Research Trends
  • Most Visualizations Optimized for
  • Desktop displays
  • Individual interaction
  • Trend Toward
  • PDAs and wristwatches
  • privacy
  • Full-wall displays
  • displaying a greater number of pixels on a
    surface is only a small piece of the solution"

Discussion Question 2 How do you create
visualizations that scale from tiny to huge
screens? Why would we want such an application?
What can designing for a tiny screen teach us
about our 1-monitor box?
16
Possibilities to Investigate
  • How do we take advantage of a wider field of
    view?
  • Visual and interactive metaphors that take
    advantage of proprioceptive meaning behind
    spatial information
  • Interaction techniques for large displays
  • Collaborative visualization on large displays

17
Discussion Questions
  • What are some of the tradeoffs between having
    controls on/off a large display?
  • How do you create visualizations that scale from
    tiny to huge screens? Why would we want such an
    application? What can designing for a tiny screen
    teach us about our 1-monitor box?
  • What types of datasets/information visualization
    tasks would most benefit from a larger display?
  • Final Question Is a display ever too big?
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