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Presented at the 2008 Boston UPA conference
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© 2008 Eva Kaniasty
Eva Kaniastykaniasty@gmail.com
Innovative InterfacesTransforming data into insight
May 2008
04/12/23 © 2008 Eva Kaniasty. kaniasty@gmail.com 2
The age of Dynamic Visualization
04/12/23 © 2008 Eva Kaniasty. kaniasty@gmail.com 3
Why?
•Limited attention•Limited time•Limited domain knowledge
04/12/23 © 2008 Eva Kaniasty. kaniasty@gmail.com 4
Serial (Attentive) Search
•Limited Working Memory capacity•Limited Serial Processing capacity
04/12/23 © 2008 Eva Kaniasty. kaniasty@gmail.com 5
It’s WM(d?), stupid
Average IQ
0
20
40
60
80
100
120
Blue States Red States
*This was a hoax
04/12/23 © 2008 Eva Kaniasty. kaniasty@gmail.com 6
What’s a graph?
Dictionary.com:
A diagram representing a system of connections or interrelations among two or more things by a number of distinctive dots, lines, bars, etc.
04/12/23 © 2008 Eva Kaniasty. kaniasty@gmail.com 7
Parallel (Preattentive) Search
o Similarityo Proximityo Salience/Pop-outo Closure/Continuityo Symmetry/Alignmento Figure/Ground
Groupings
ComparisonsPatterns
Gestalt
04/12/23 © 2008 Eva Kaniasty. kaniasty@gmail.com 8
Discriminability & Attention
o Motion Detectiono Change Detectiono Color (especially for red,
yellow, green, and blue) o Size/Lengtho Orientationo Brightness
04/12/23 © 2008 Eva Kaniasty. kaniasty@gmail.com 9
Mapping data to image
o Variable Length (distinguishable steps)o Data Types
o Numerical (Ranked or Continuous)o Nominal (Categorical)
Green M, “Toward a Perceptual Science of Multidimensional Data Visualization: Bertin and Beyond.”
04/12/23 © 2008 Eva Kaniasty. kaniasty@gmail.com 10
Good Graph vs. Bad Graph
04/12/23 © 2008 Eva Kaniasty. kaniasty@gmail.com 11
What’s the question?
What should I do?What should I choose?
What should I buy?What would I like?
What if?
04/12/23 © 2008 Eva Kaniasty. kaniasty@gmail.com 12
What book should I read next?
Really?Gratuitous Graph
© 2008 Eva Kaniasty
Visualizing NumbersVisualizing Words
Visualizing Identity
© 2008 Eva Kaniasty
VisualizingNumbers
04/12/23 © 2008 Eva Kaniasty. kaniasty@gmail.com 15
Where is all my money going?
04/12/23 © 2008 Eva Kaniasty. kaniasty@gmail.com 16
Analysis
Mint.com
04/12/23 © 2008 Eva Kaniasty. kaniasty@gmail.com 17
Prediction
NYT.com
04/12/23 © 2008 Eva Kaniasty. kaniasty@gmail.com 18
Planning
Limited Domain Knowledge
No fun
04/12/23 © 2008 Eva Kaniasty. kaniasty@gmail.com 19
Planning
Fidelity myPlan
04/12/23 © 2008 Eva Kaniasty. kaniasty@gmail.com 20
Backcasting
© 2008 Eva Kaniasty
Visualizing Words
04/12/23 © 2008 Eva Kaniasty. kaniasty@gmail.com 22
Secondary Organizers
The Daily Show
04/12/23 © 2008 Eva Kaniasty. kaniasty@gmail.com 23
Salience
Newsmap
04/12/23 © 2008 Eva Kaniasty. kaniasty@gmail.com 24
Exploration/Discovery
LivePlasma
04/12/23 © 2008 Eva Kaniasty. kaniasty@gmail.com 25
Graph as user interface
NavigationOverview + Detail
Direct ManipulationImmediate Feedback
© 2008 Eva Kaniasty
Visualizing Identity
04/12/23 © 2008 Eva Kaniasty. kaniasty@gmail.com 27
Un-satisficing
04/12/23 © 2008 Eva Kaniasty. kaniasty@gmail.com 28
Satisficing
04/12/23 © 2008 Eva Kaniasty. kaniasty@gmail.com 29
Mental Shortcuts
iStorez.com
04/12/23 © 2008 Eva Kaniasty. kaniasty@gmail.com 30
Personas
Buzzilions
04/12/23 © 2008 Eva Kaniasty. kaniasty@gmail.com 31
Buzillions
Structuring the Subjective
04/12/23 © 2008 Eva Kaniasty. kaniasty@gmail.com 32
Applications
Decision-makingComparingPlanning
PredictingDiscovering
Detecting PatternsDescribing Relationships
Exploring
© 2008 Eva Kaniasty
The last word: Funology
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