VisAnywhere: Developing Multi-platform Scientific Visualization Applications
April 26, 2024 Β· Declared Dead Β· π arXiv.org
"No code URL or promise found in abstract"
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Authors
Thomas Marrinan, Madeleine Moeller, Alina Kanayinkal, Victor A. Mateevitsi, Michael E. Papka
arXiv ID
2404.17619
Category
cs.HC: Human-Computer Interaction
Cross-listed
cs.GR
Citations
0
Venue
arXiv.org
Last Checked
5 months ago
Abstract
Scientists often explore and analyze large-scale scientific simulation data by leveraging two- and three-dimensional visualizations. The data and tasks can be complex and therefore best supported using myriad display technologies, from mobile devices to large high-resolution display walls to virtual reality headsets. Using a simulation of neuron connections in the human brain, we present our work leveraging various web technologies to create a multi-platform scientific visualization application. Users can spread visualization and interaction across multiple devices to support flexible user interfaces and both co-located and remote collaboration. Drawing inspiration from responsive web design principles, this work demonstrates that a single codebase can be adapted to develop scientific visualization applications that operate everywhere.
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