Prediction of individual learning curves across information visualizations
User Model. User-Adapt. Interact., Volume 26, Issue 4, 2016, Pages 307-345.
Information visualizationAdaptive visualizationUser modelingMachine learningEye trackingMore(1+)
Confident usage of information visualizations is thought to be influenced by cognitive aspects as well as amount of exposure and training. To support the development of individual competency in visualization processing, it is important to ascertain if we can track users' progress or difficulties they might have while working with a given ...More
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