Do You See What I See? Eliciting High-Level Visualization Comprehension
This study holistically explores visualization interpretation to examine the alignment between designers’ communicative goals and what their audience sees in a visualization, which we refer to as their textit{comprehension}. We found that statistics people effectively estimate from visualizations in classical graphical perception studies may differ from the patterns people intuitively comprehend in a visualization. We found that comprehension varies with a range of factors, including graph complexity and data distribution. Our study confirms the importance of defining visualization effectiveness from multiple perspectives to assess and inform visualization practices.
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