Immersive Insights: A Hybrid Analytics System for Collaborative Exploratory Data Analysis
October 27, 2019 Β· Declared Dead Β· π Virtual Reality Software and Technology
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Authors
Marco Cavallo, Mishal Dholakia, Matous Havlena, Kenneth Ocheltree, Mark Podlaseck
arXiv ID
1910.12193
Category
cs.HC: Human-Computer Interaction
Citations
53
Venue
Virtual Reality Software and Technology
Last Checked
3 months ago
Abstract
In the past few years, augmented reality (AR) and virtual reality (VR) technologies have experienced terrific improvements in both accessibility and hardware capabilities, encouraging the application of these devices across various domains. While researchers have demonstrated the possible advantages of AR and VR for certain data science tasks, it is still unclear how these technologies would perform in the context of exploratory data analysis (EDA) at large. In particular, we believe it is important to better understand which level of immersion EDA would concretely benefit from, and to quantify the contribution of AR and VR with respect to standard analysis workflows. In this work, we leverage a Dataspace reconfigurable hybrid reality environment to study how data scientists might perform EDA in a co-located, collaborative context. Specifically, we propose the design and implementation of Immersive Insights, a hybrid analytics system combining high-resolution displays, table projections, and augmented reality (AR) visualizations of the data. We conducted a two-part user study with twelve data scientists, in which we evaluated how different levels of data immersion affect the EDA process and compared the performance of Immersive Insights with a state-of-the-art, non-immersive data analysis system.
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