Exploring Data in Virtual Reality

Abstract

Virtual Reality (VR) has often been discussed as a promising medium for immersive data visualization and exploration. However, few studies have evaluated users' open-ended exploration of multi-dimensional datasets using VR and compared the results with that of traditional (2D) visualizations. Using a workload- and insight-based evaluation methodology, we conducted a user study to perform such a comparison. We find that there is no overall task-workload difference between traditional visualizations and visualizations in VR, but there are differences in the accuracy and depth of insights that users gain. Our results also suggest that users feel more satisfied and successful when using VR data exploration tools, thus demonstrating the potential of VR as an engaging medium for visual data analytics.