Blending Machine Learning and Interaction Design in Audio Explorer

IEEE Comput Graph Appl. 2021 Mar-Apr;41(2):89-95. doi: 10.1109/MCG.2019.2950185. Epub 2021 Mar 17.

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.

Publication types

  • Research Support, Non-U.S. Gov't