TY - JOUR
T1 - Atmospheric data visualization in mixed reality
AU - Cherukuru, Nihanth W.
AU - Calhoun, Ronald
AU - Scheitlin, Tim
AU - Rehme, Matt
AU - Kumar, Raghu Raj Prasanna
N1 - Funding Information:
ACKNOWLEDGMENTS. This research was supported by NSF Grant AGS-1160737 and the NCAR 2016 SIParCS internship program. The authors would like to gratefully acknowledge the support of ASU LightWorks and the Navy Neptune program. The authors would also like to thank Richard Loft for his valuable inputs and suggestions during the Meteo-AR application development.
PY - 2017/8
Y1 - 2017/8
N2 - Visualization techniques have evolved over time, and mixed reality (MR) data visualization is emerging as the new paradigm for interacting with digital content. On the visualization device, the user can either choose to automatically stream the data to be visualized as it becomes available (real time) or manually step through the data in a retrospective mode. The application on the viewing device (client) is designed to have two modes of operation, the 'onsite mode,' where the data from the sensors are presented as an overlay at the sensor’s physical location when viewed through the mobile device or HMD, and the 'tabletop mode,' where the data being visualized. In an educational setting, AR/MR technologies make the atmospheric data tangible by allowing students to interact with the data as if they were physical objects, providing an intuitive and richer learning experience. The user is provided with science pages that contain information pertaining to the dataset along with an image, which serves as the marker.
AB - Visualization techniques have evolved over time, and mixed reality (MR) data visualization is emerging as the new paradigm for interacting with digital content. On the visualization device, the user can either choose to automatically stream the data to be visualized as it becomes available (real time) or manually step through the data in a retrospective mode. The application on the viewing device (client) is designed to have two modes of operation, the 'onsite mode,' where the data from the sensors are presented as an overlay at the sensor’s physical location when viewed through the mobile device or HMD, and the 'tabletop mode,' where the data being visualized. In an educational setting, AR/MR technologies make the atmospheric data tangible by allowing students to interact with the data as if they were physical objects, providing an intuitive and richer learning experience. The user is provided with science pages that contain information pertaining to the dataset along with an image, which serves as the marker.
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U2 - 10.1175/BAMS-D-15-00259.1
DO - 10.1175/BAMS-D-15-00259.1
M3 - Article
AN - SCOPUS:85028847756
SN - 0003-0007
VL - 98
SP - 1585
EP - 1592
JO - Bulletin of the American Meteorological Society
JF - Bulletin of the American Meteorological Society
IS - 8
ER -