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In the past few years, augmented reality (AR) and virtual reality (VR)technologies have experienced terrific improvements in both accessibility andhardware capabilities, encouraging the application of these devices acrossvarious domains. While researchers have demonstrated the possible advantages ofAR and VR for certain data science tasks, it is still unclear how thesetechnologies would perform in the context of exploratory data analysis (EDA) atlarge. In particular, we believe it is important to better understand whichlevel of immersion EDA would concretely benefit from, and to quantify thecontribution of AR and VR with respect to standard analysis workflows.  In this work, we leverage a Dataspace reconfigurable hybrid realityenvironment to study how data scientists might perform EDA in a co-located,collaborative context. Specifically, we propose the design and implementationof Immersive Insights, a hybrid analytics system combining high-resolutiondisplays, table projections, and augmented reality (AR) visualizations of thedata.  We conducted a two-part user study with twelve data scientists, in which weevaluated how different levels of data immersion affect the EDA process andcompared the performance of Immersive Insights with a state-of-the-art,non-immersive data analysis system.

Immersive Insights: A Hybrid Analytics System for Collaborative Exploratory Data Analysis