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Multi-Touch Querying on Data Physicalizations in Immersive AR

Authors :
Stephanie Zeller
Daniel F. Keefe
Greg Abram
Bridger Herman
Maxwell Omdal
Francesca Samsel
Clara A. Richter
Source :
Proceedings of the ACM on Human-Computer Interaction. 5:1-20
Publication Year :
2021
Publisher :
Association for Computing Machinery (ACM), 2021.

Abstract

Data physicalizations (3D printed terrain models, anatomical scans, or even abstract data) can naturally engage both the visual and haptic senses in ways that are difficult or impossible to do with traditional planar touch screens and even immersive digital displays. Yet, the rigid 3D physicalizations produced with today's most common 3D printers are fundamentally limited for data exploration and querying tasks that require dynamic input (e.g., touch sensing) and output (e.g., animation), functions that are easily handled with digital displays. We introduce a novel style of hybrid virtual + physical visualization designed specifically to support interactive data exploration tasks. Working toward a "best of both worlds" solution, our approach fuses immersive AR, physical 3D data printouts, and touch sensing through the physicalization. We demonstrate that this solution can support three of the most common spatial data querying interactions used in scientific visualization (streamline seeding, dynamic cutting places, and world-in-miniature visualization). Finally, we present quantitative performance data and describe a first application to exploratory visualization of an actively studied supercomputer climate simulation data with feedback from domain scientists.

Details

ISSN :
25730142
Volume :
5
Database :
OpenAIRE
Journal :
Proceedings of the ACM on Human-Computer Interaction
Accession number :
edsair.doi...........e4879fe2384b86afe98bd6b5b52631e7
Full Text :
https://doi.org/10.1145/3488542