Overview
Syllabus
Intro
data summaries for inductive inference
objective: perceptual accuracy?
good perception = rational judgment?
objective: pattern finding
optimizing for pattern finding encourages NHST?
minimize error in effect size judgment/decisions
non-robust strategies → illusion of predictability
The distance heuristic
when optimizing for PoS isn't enough...
challenges in learning from experiments
when does a better visualization matter?
defining a decision problem (from Kale et al. 2020)
dead in the water (Gelman and Weakliem 2009)
post-experiment: rank behavioral agents with vis
post-experiment: rank heuristics
design applications: aggregation choices
what characterizes a good interfaces problem?
Taught by
Simons Institute