DOE OSTI · 1774011
Blending Machine Learning and Interaction Design in Audio Explorer
Abstract
The results of machine learning models can often be difficult to interpret, especially for domain experts. Audio Explorer, the winning entry of the 2018 VAST Challenge, is an interactive data exploration tool that effectively communicates machine learning results, using coordinated geospatial, temporal, and auditory visualizations to promote information discovery.
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Scruggs, Colin, Henkel, Cameron, Stolper, Charles, Cook, Kristin A., Crouser, Jordan. 2021-03-24. Blending Machine Learning and Interaction Design in Audio Explorer. https://doi.org/10.1109/mcg.2019.2950185
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