Before revision: We propose the Active Visual Analytics technique (ActiveVA), an augmentation of interactive visualizations with active search to aid data foragingand information extraction.
After revision: Data foraging is a process commonly arising in interactive data analysis where a user sifts through a large amount of potentially irrelevant information seeking data relevant to their task. In machine learning, the related task of active search considers the automated discovery of rare, valuable items from large databases and has delivered massive speedups in discovery in areas including drug and materials discovery. However, there have yet to be any advances in integrating active search with an interactive interface to make use of an analyst's domain knowledge in the search process. We introduce and evaluate a technique we call Active Visual Analytics technique (ActiveVA), an augmentation of interactive visualizations with active search to aid data foragingand information extraction.