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Found 2 papers, 1 papers with code
Learning Visual Importance for Graphic Designs and Data Visualizations
Our models are neural networks trained on human clicks and importance annotations on hundreds of designs.
BubbleView: an interface for crowdsourcing image importance maps and tracking visual attention
In this paper, we present BubbleView, an alternative methodology for eye tracking using discrete mouse clicks to measure which information people consciously choose to examine.
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