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Abstract:
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We use data visualizations with uncertainty to make large-scale policy decisions, such as where to allocate resources before a natural disaster, and more personal life and death decisions, such as whether to evacuate before a forecasted hurricane. Unfortunately, reasoning with uncertainty is challenging for the average person and interpreting visualizations with uncertainty can be error-prone. In this talk, we will discuss common cognitive factors that lead to reasoning errors with visualizations of uncertainty. We will present a high-level overview of how the brain and eyes work together to translate visualizations into concrete information, and how this process can lead to errors with abstract concepts like uncertainty.
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