2023-08-08
Some graphics “just work” - why do you need to test them?
Do they work for everyone?
What insights do people gain from the chart? How much variability is there?
What background knowledge is required?
What areas of the chart contribute to its’ function?
Testing graphics provides insight into the interaction between humans and data
Graphical hypothesis testing with lineups
Visual Statistics
Effective Science Communication:
Testing graphics can lead to improved methods
visualizations for method diagnostics
feed back into numerical diagnostics
designing algorithms that mimic human perception
examining how people understand statistics
explain new methods in better ways
People are a PITA (💥➡️🍑)
Data collection takes time/energy/money
Analyzing (usually very messy) human data is hard
All of these are true, but it’s still worth doing.