Modeling the interpretation of visualized statistics as bayesian cognition

YEA-SEUL KIM
YEA-SEUL KIM
LOGAN A WALLS
LOGAN A WALLS
PETER KRAFFT
PETER KRAFFT

2019.

Cited by: 1|Views12

Abstract:

People naturally bring their prior beliefs to bear on how they interpret new information like data presented in a visualization. Models from cognitive science promise to help us understand these effects. However, researchers in the field of data visualization itself have yet to build their own formal models that can account for the influe...More

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