Interactive analytics provide users a myriad of computational means to aid in extracting meaningful information from large and complex datasets. Much prior work focuses either on advancing the capabilities of machine-centric approaches by the data mining and machine learning communities, or human-driven methods by the visualization and CHI communities. However, these methods do not yet support a t... read morerue human machine symbiotic relationship where users and machines work together collaboratively and adapt to each other to advance an interactive analytic process. In this paper we discuss some of the inherent issues, outlining what we believe are the steps toward usable interactive analytics that will ultimately increase the effectiveness for both humans and computers to produce insights.read less
Endert, Alex, Chris North, Remco Chang, and Michelle Zhou. "Toward Usable Interactive Analytics: Coupling Cognition and Computation." Paper presented at Workshop on on Interactive Data Exploration and Analytics (IDEA), KDD2014, New York, New York, August 24-27, 2014.