TY - GEN
T1 - AR-VIS
T2 - 21st International Conference on Human Computer Interaction, HCII 2019
AU - Kum-Biocca, Hannah Hyejin
AU - Kim, Hyomin
AU - Biocca, Frank
AU - Cho, Yeonhee
N1 - Publisher Copyright:
© 2019, Springer Nature Switzerland AG.
PY - 2019
Y1 - 2019
N2 - The AR Vis project is a general-purpose interactive data visualization platform for collaborative interaction with scientific data. The platform is designed for augmented reality displays of data supporting multi-user interaction and simulations. Methods developed include a procedural pipeline for data culling, modeling, visualization, and porting to multiuser augmented reality. A prototype interactive visualization application demonstrates the system via visualization and simulation of magnetic fields. The magnetic field visualizations are attached to physical objects or embedded in the environment. The invisible magnetic fields are transformed into tangible models of nano and geospatial scales magnetic phenomena accessible to a user’s full body (embodied) interaction. The project seeks to make a significant contribution to scientific visualization. Extending beyond the cognitive impact of traditional scientific visualization, the goal of the AR Vis platform is to additionally leverage human perception and spatial cognition and make data patterns tangible, manipulable and more accessible. In supporting augmented information cognition in scientists and learners, AR Vis design supports data discovery and learning. The prototype implementation uses physics data modeling of the invisible and largely intangible forces of magnetism across different scales. The project yields both a prototype platform and develops a data visualization pipeline. Both demonstrate a substantial and concrete implementation and demonstration of AR Vis techniques.
AB - The AR Vis project is a general-purpose interactive data visualization platform for collaborative interaction with scientific data. The platform is designed for augmented reality displays of data supporting multi-user interaction and simulations. Methods developed include a procedural pipeline for data culling, modeling, visualization, and porting to multiuser augmented reality. A prototype interactive visualization application demonstrates the system via visualization and simulation of magnetic fields. The magnetic field visualizations are attached to physical objects or embedded in the environment. The invisible magnetic fields are transformed into tangible models of nano and geospatial scales magnetic phenomena accessible to a user’s full body (embodied) interaction. The project seeks to make a significant contribution to scientific visualization. Extending beyond the cognitive impact of traditional scientific visualization, the goal of the AR Vis platform is to additionally leverage human perception and spatial cognition and make data patterns tangible, manipulable and more accessible. In supporting augmented information cognition in scientists and learners, AR Vis design supports data discovery and learning. The prototype implementation uses physics data modeling of the invisible and largely intangible forces of magnetism across different scales. The project yields both a prototype platform and develops a data visualization pipeline. Both demonstrate a substantial and concrete implementation and demonstration of AR Vis techniques.
KW - Augmented reality
KW - Interactive visualization
KW - Magnetic fields
KW - Scientific data
UR - http://www.scopus.com/inward/record.url?scp=85075835483&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85075835483&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-30712-7_47
DO - 10.1007/978-3-030-30712-7_47
M3 - Conference contribution
AN - SCOPUS:85075835483
SN - 9783030307110
T3 - Communications in Computer and Information Science
SP - 374
EP - 380
BT - HCI International 2019 – Late Breaking Posters - 21st HCI International Conference, HCII 2019, Proceedings
A2 - Stephanidis, Constantine
A2 - Antona, Margherita
PB - Springer Science and Business Media Deutschland GmbH
Y2 - 26 July 2019 through 31 July 2019
ER -