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UXPA 2013 Annual Conference Friday July 12, 2013 by Thomas Watkins Unconference session
Citation preview
Why Dashboard Designshould be (but almost never is)
based on Cognitive Science
Thomas Watkins
Catalog Telebriz Partner Internet Direct0
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Problem
• Most dashboards are far less effective than they should be.
• Is it the responsibility of the UX community to fix this?
• It is a difficult problem to solve.– Proper graph construction is not taught in school– Data visualization of business intelligence is an
extremely small niche area, even within UX!– There are usually many organizational and institutional
obstacles to doing things the right way.
Why is this important?
• Business intelligence is critical to the operation of virtually all modern institutions
• Visualization is the perhaps best way to process data
• Dashboards are a common tool; that tool is often broken; and it needs to be fixed.
What approach she we take?• Two opposing approaches to making graphs– Thinking like an artist?• Striving to express oneself, using the data
– Thinking like a translator?• Striving to translate the data from one language to
another language– The mathematical language of the data– The language of the human sensory, perceptual and cognitive
systems
Ready?
Find all the 5’s
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987349790275647927137581201618129342095618203948947471039438018732626102856637491928126932872910837426396180293108815029186181893596609384716246940982621211493093847102947582923471928301472837216234682901
Ready?
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Ready?
red blue orange purple orange blueorange blue green red blue purplegreen red orange blue red green red orange purple orange blue greengreen purple orange blue red orange
• Color can help; color can hurt!
Ready?
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A B
Conclusion from the 3 Demonstrations– Color attributes can help performance– Color attributes can hurt performance– Humans are good at judging length, and bad at judging area of
objects– These perceptual phenomena are universal (so why don’t we
use them!)
• Know the language of the human sensory, perceptual and visual systems
“Language” for Human Quantitative Judgment
Category Attribute Quantitative
Color Hue No
Intensity Yes, but limited
Form 2-D position Yes
Orientation No
Line length Yes
Line width Yes, but limited
Size Yes, but limited
Intensity Yes, but limited
Shape NoMotion Flicker Yes, based on speed but limited
What does this mean for us Uxers?
• The UX practitioner community should stay informed on the best practices for data visualization.
• Perhaps we should aim to steer data visualization design efforts in our own organizations
• Perhaps we should also aim to be the thought leaders in this area as the field continues to develop over time.
• Please take the handout sheet (up front), which is a basic guide on how to choose appropriate graphs for effective data visualization.
Study list
• Most useful & reputable authors in the field:– Edward Tufte– William Cleveland– Stephen Few
.
High visual impact
Low visual impact
Sparse data Rich data