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Poster: Automatic Generation of Data Legends for 3D Multi-Variate Artist Driven Visualizations

Research Publication

Poster: Automatic Generation of Data Legends for 3D Multi-Variate Artist Driven Visualizations. Claire Weissman, Bridger Herman, Stephanie Zeller, Francesca Samsel, Daniel F. Keefe. IEEE Visualization (2020)

Notes

Best Poster Award

Abstract

We introduce a new style of automatic legend generation for 3D multivariate visualizations to accommodate artist introduced visual variation. The software Artifact Based Rendering created the ability for artists to design complex 3D data-driven visualizations. Unique artifacts are artist created and are converted to a computer graphics asset using web applets provided by ABR. While this software is quite expansive, it does not include a way to create legends specific to each visualization. Given the complexity of the visualization and the unique artifacts it uses, a traditional legend is not enough. A real-time rendered legend improves the interpretability of the visualization.

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