Paper Info
Title
Immersive Insights: A Hybrid Analytics System forCollaborative Exploratory Data Analysis
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.
Year
DOI
Venue
2019
10.1145/3359996.3364242
25th ACM Symposium on Virtual Reality Software and Technology
Keywords
DocType
ISBN
Augmented Reality, Clustering, Data Visualization, Dataspace, Exploratory Data Analysis, Hybrid Reality, Virtuality Continuum
Conference
978-1-4503-7001-1
Citations 
PageRank 
References 
3
0.37
0
Authors
5
Name
Order
Citations
PageRank
Marco Cavallo1395.57
Mishal Dolakia230.37
Matous Havlena340.71
Kenneth Ocheltree440.71
Mark Podlaseck530131.31