Abstract
We present Bento Box, a virtual reality data visualization technique and bimanual 3D user interface for exploratory analysis of 4D data ensembles. Bento Box helps scientists and engineers make detailed comparative judgments about multiple time-varying data instances that make up a data ensemble (e.g., a group of 10 parameterized simulation runs). The approach is to present an organized set of complementary volume visualizations juxtaposed in a grid arrangement, where each column visualizes a single data instance and each row provides a new view of the volume from a different perspective and/or scale. A novel bimanual interface enables users to select a sub-volume of interest to create a new row on-the-fly, scrub through time, and quickly navigate through the resulting virtual “bento box.” The technique is evaluated through a real-world case study, supporting a team of medical device engineers and computational scientists using in-silico testing (supercomputer simulations) to redesign cardiac leads. The engineers confirmed hypotheses and developed new insights using a Bento Box visualization. An evaluation of the technical performance demonstrates that the proposed combination of data sampling strategies and clipped volume rendering is successful in displaying a juxtaposed visualization of fluid-structure-interaction simulation data (39 GB of raw data) at interactive VR frame rates.
Original language | English (US) |
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Article number | 61 |
Journal | Frontiers in Robotics and AI |
Volume | 6 |
DOIs | |
State | Published - Jul 23 2019 |
Bibliographical note
Publisher Copyright:© Copyright © 2019 Johnson, Orban, Runesha, Meng, Juhnke, Erdman, Samsel and Keefe.
Keywords
- 3D user interfaces
- comparative visualization
- ensemble visualization
- small multiples
- virtual reality