Collaborative Data Analysis on Wall Displays
2 [source: The Diverse and Exploding Digital Universe, IDC, 2008] [credit: Did You Know; Fisch, McLeod, Brenman]
4
The value of data depends on our ability to
extract meaning and act on it
how can we effectively access data?
- understand its structure and content?
- make comparisons?
- make decisions?
Traditional Information Visualization Context
•
work context
•
specific questions / tasks
•
domain-specific
•
PC based
Traditional context no longer sufficient
•
More data to analyze & understand
•
Complex problems
Why Collaborative Work?
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Go beyond data extraction
–
Discuss, negotiate, argue interpretations of data
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Reduce individual bias
Research Space
Technique
• Representations for small / large displays • Interaction techniques Application • Social network analysis • Search • Biology Evaluation • Contextual overview • Methodologies Theory • Collaborative data analysis work • Perception
Challenging Aspect Challenge
Socio
- T
echnical
Specific Research Challenges
Challenging Aspect Challenge
Users Multiple backgrounds, work styles, preferences, …
Socio
- T
echnical
Isenberg et al., Information Visualization Journal, 2011
Specific Research Challenges
Challenging Aspect Challenge
Users Multiple backgrounds, work styles, preferences, … Tasks Centered around collaborative work
Socio
- T
echnical
Specific Research Challenges
Challenging Aspect Challenge
Users Multiple backgrounds, work styles, preferences, … Tasks Centered around collaborative work
Cognition Collaborative foraging & sensemaking
Socio
- T
echnical
Isenberg et al., Information Visualization Journal, 2011
Specific Research Challenges
Challenging Aspect Challenge
Users Multiple backgrounds, work styles, preferences, … Tasks Centered around collaborative work
Cognition Collaborative foraging & sensemaking Analysis Results Consensus, shared insight
Socio
- T
echnical
Specific Research Challenges
Challenging Aspect Challenge
Users Multiple backgrounds, work styles, preferences, … Tasks Centered around collaborative work
Cognition Collaborative foraging & sensemaking Analysis Results Consensus, shared insight
Evaluation Social interaction around data
Socio
- T
echnical
Isenberg et al., Information Visualization Journal, 2011
Specific Research Challenges
Challenging Aspect Challenge
Users Multiple backgrounds, work styles, preferences, … Tasks Centered around collaborative work
Cognition Collaborative foraging & sensemaking Analysis Results Consensus, shared insight
Socio
- T
echnical
Specific Research Challenges
Challenging Aspect Challenge
Users Multiple backgrounds, work styles, preferences, … Tasks Centered around collaborative work
Cognition Collaborative foraging & sensemaking Analysis Results Consensus, shared insight
Evaluation Social interaction around data Interaction Multiple parallel inputs
Visual Representations Multiple displays, novel display & input technology
Socio
- T
echnical
Isenberg et al., Information Visualization Journal, 2011
Specific Research Challenges
INRIA-WILD Large Display Wall
size: 5.5 x 1.8 m (32 LCD screens, 16 machines) resolution: 20480 x 6400 pixels (130 million px)
In Collaboration: Various Viewing Distances and
Angles
where to put information?
task dependent
general guidelines
where to put information?
all areas created equal?
viewing angles/distances?
what about walking?
Reading visualizations
Quantitative Experiment
Goal:
understand influence of view distortion on
perception in elemental graphical tasks
2d visualizations and visual variables
0 1 2 3 4 5 6Category 1 Category 2 Category 3 Category 4
Series 1 Series 2 Series 3
position
lengt
h
2d visualizations and visual variables
Series 1
Category 1 Category 2 Category 3 Category 4angle
Perception of Elemental Graphical Tasks
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study setup
static position results
static position results (estimation)
Close Viewing Distance
linear model
true object size
screen horizontal position
screen vertical position
viewer distance
study 1: modeling data
result summary
unexpected order and behavior
previous work
why low error?
why high error?
bezels, task
orientation
>
>
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study 2
replicated experiment with free movement
9 users
6 magnitudes
Time & Estimation Errors (absolute and direction)
observed 3 strategies
not all of them effective
Step-back as bad as Close
Summary
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new findings
avoid comparisons with lower screens
careful with full screen visualizations
choose robust visual variables
inform viewers of distortion
use mediators
encourage walking, with correct strategy
bezels could be beneficial
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example
data: US Bureau of the Census
vis: http://www.gsd.harvard.edu/gis/ municipal data of employees working and living at different municipalities
conclusion
current work
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test more visual variables
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and variations
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model errors for entire visualizations
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study distortion learning
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study effect on collaboration
Collaborative Data Analysis on Wall Displays
