VolSelectAware
Daniel Wilches, Amy Ulinski Banic · 2016
There are benefits to visualizing and exploring scientific data in immersive display systems. Interactive data analytics further exploit these benefits. Direct interaction techniques enable scientists to leverage their visual-cognitive skills for identifying and selecting visually rendered data. However, fatigue, data density, rendering, and visual encoding issues may result in reduced usage of immersive scientific visualizations. In this paper, we present algorithmic details of a novel volume selection interaction, implementation details, and discuss use case scenario. Our technique seeks to improve usage of immersive visualizations for scientific discovery and insight.