Reducing Presentation Noise
- 1. Reducing Presentation Noise! SF Data Mining Meetup November 2015 Hunter Whitney
- 2. Consultant, Author, and Instructor User Experience (UX) Design
- 3. 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
- 4. Reducing Presentation Noise Doesn’t Begin or End with Visual Design Data Life Cycle User Perception
- 5. • Context, Emphasis, and Design • Perception and Distortion • Feedback, Tuning, Muting • GIGO, Data Entry, and Error Handling 4 UX Design Considerations
- 6. Context, Emphasis, and Design
- 9. Signal
- 10. Noise
- 11. Murmurs 8 7 6 Sensitivity, Specificity, and Severity
- 12. Crosstalk
- 14. If it ain’t broke, don’t show it
- 15. Prioritization and Disclosure Reactor 1 Core Temp. Other 9 ✔ Water Level in Tank 2 Workplace Accidents
- 16. You Can’t Always Think Your Way Out
- 18. Cognitive Bias and Communication Distortions
- 19. The Data
- 20. The Same Data
- 22. Muting
- 23. GIGO, Data Entry, and Error Handling
- 24. "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 Ben Shneiderman Human Computer Interac4on Laboratory, University of Maryland
- 25. A Case in Point
- 29. Decision-Making
- 30. Another Example
- 31. ExpressionPlot