Analyzing people's understanding of uncertainty in everyday data and the effect of using Expectation Visualization
Professor Jessica Hullman
and her Ph.D. student Yeaseul Kim in their project, Expectation Visualization. This project involves having people predict variation in data by drawing what they think would be the sample distribution for an experiment, and aims to measure the effects of this on their perception and understanding of probability and uncertainty in data that they read through everyday sources like newspapers. I am currently helping in the development of the interface for the experiment, and will be a part of piloting the experiment as well.
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