Abstract
Web visualization dashboards are popular. We propose a system called RAIV that can capture and archive web visualizations into self-contained objects. RAIV also uses a client-server architecture to host and manage archived objects as online galleries, which users can use a standard web browser to experience without needing to install any additional software. RAIV supports intelligent search as well. When a search target has been found, RAIV can show the interaction path required to reach that target. We demonstrate RAIV's capability using a genomics web visualization system called KnowEnG from NCSA and publicly available census data visualizations from US Census.
Original language | English (US) |
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Article number | 362 |
Journal | IS and T International Symposium on Electronic Imaging Science and Technology |
Volume | 36 |
Issue number | 1 |
DOIs | |
State | Published - 2024 |
Event | IS and T International Symposium on Electronic Imaging 2024: Visualization and Data Analysis, VDA 2024 - San Francisco, United States Duration: Jan 21 2024 → Jan 25 2024 |
ASJC Scopus subject areas
- Computer Graphics and Computer-Aided Design
- Computer Science Applications
- Human-Computer Interaction
- Software
- Electrical and Electronic Engineering
- Atomic and Molecular Physics, and Optics