reducing presentation noise
TRANSCRIPT
Reducing Presentation Noise !
SF Data Mining Meetup November 2015 Hunter Whitney
Consultant, Author, and Instructor User Experience (UX) Design
Listening to Data
Noise !Irrelevant, meaningless, and can distract or mislead from the best course of action
Signals Potentially meaningful and can prompt actions that lead to good outcomes
Reducing Presentation Noise Doesn’t Begin or End with Visual Design
Data Life Cycle User Perception
• Context, Emphasis, and Design
• Perception and Distortion
• Feedback, Tuning, Muting
• GIGO, Data Entry, and Error Handling
4 UX Design Considerations
Context, Emphasis, and Design
An Alarming Problem
Design Choices
Signal
Noise
Murmurs
8 7 6
Sensitivity, Specificity, and Severity
Crosstalk
Detector Proliferation
If it ain’t broke, don’t show it
Prioritization and Disclosure
Reactor 1 Core Temp.
Other 9 ✔
Water Level in Tank 2
Workplace Accidents
You Can’t Always Think Your Way Out
Perceptual Distortions
Cognitive Bias and Communication Distortions
The Data
The Same Data
Feedback, Tuning, Muting
Muting
GIGO, Data Entry, and Error Handling
"Organizations haven't realized until recently, the majority of their data sets have something wrong with them. Using visualization allows us to sometimes see potentially dangerous errors and omissions.”
“Data visualization is worthwhile if for the data cleaning capabilities alone."
999-Year-Old Patients
BenShneidermanHumanComputerInterac4onLaboratory,UniversityofMaryland
A Case in Point
Personal Resonance
http://www.cdc.gov/genomics/update/file/images/spotlight/2014-03_sequencing.jpg
Finding Meaningful Signals
Decision-Making
Another Example
ExpressionPlot
Thank You! Questions?
@hunterwhitney
Cell.2011Mar18;144(6):860-3.doi:10.1016/j.cell.2011.03.007.Boos4ngsignal-to-noiseincomplexbiology:priorknowledgeispower.IdekerT1,DutkowskiJ,HoodL.