1. VolSelectAware
- Author
-
Daniel Wilches and Amy Banic
- Subjects
3D interaction ,Exploit ,Computer science ,Scientific discovery ,020207 software engineering ,02 engineering and technology ,Visual cognition ,Data science ,Rendering (computer graphics) ,Data-driven ,Human–computer interaction ,0202 electrical engineering, electronic engineering, information engineering ,Data analysis ,020201 artificial intelligence & image processing ,Use case - Abstract
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.
- Published
- 2016
- Full Text
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