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November 02, 2015 - High-resolution imaging of materials produces complex, copious data. Researchers at Oak Ridge National Laboratory are developing a visual analytics system that could essentially “look over a scientist’s shoulder,” learning from human actions and improving its predictions of what the scientist thinks is interesting. The approach combines computational data analytics with interactive data visualization—human intuition and knowledge. “Humans are very good at visual processing and intuition tasks that are hard to do with a computer,” ORNL’s Chad Steed said. “If we could grasp that strength of the humans in some type of intelligent interface, we could go after problems that neither approach in isolation could solve.”
