RSVP for VPSA : A Meta Design Study on Rapid Suggestive Visualization Prototyping for Visual Parameter Space Analysis | TU Wien

Information

Publication Type: Journal Paper (without talk)
Workgroup(s)/Project(s):
- Rendering and Modeling
Date: September 2024
DOI: 10.1109/TVCG.2024.3431930
ISSN: 1941-0506
Journal: IEEE Transactions on Visualization and Computer Graphics
Open Access: yes
Pages: 18
Publisher: IEEE COMPUTER SOC
Keywords: input-output model, literature analysis, mixed-initiative system, unobtrusive visualization recommendation, user study

Abstract

Visual Parameter Space Analysis (VPSA) enables domain scientists to explore input-output relationships of computational models. Existing VPSA applications often feature multi-view visualizations designed by visualization experts for a specific scenario, making it hard for domain scientists to adapt them to their problems without professional help. We present RSVP, the Rapid Suggestive Visualization Prototyping system encoding VPSA knowledge to enable domain scientists to prototype custom visualization dashboards tailored to their specific needs. The system implements a task-oriented, multi-view visualization recommendation strategy over a visualization design space optimized for VPSA to guide users in meeting their analytical demands. We derived the VPSA knowledge implemented in the system by conducting an extensive meta design study over the body of work on VPSA. We show how this process can be used to perform a data and task abstraction, extract a common visualization design space, and derive a task-oriented VisRec strategy. User studies indicate that the system is user-friendly and can uncover novel insights.

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BibTeX

@article{klaffenboeck-2024-rva,
  title =      "RSVP for VPSA : A Meta Design Study on Rapid Suggestive
               Visualization Prototyping for Visual Parameter Space
               Analysis",
  author =     "Manfred Klaffenb\"{o}ck and Michael Gleicher and Johannes
               Sorger and Michael Wimmer and Torsten M\"{o}ller",
  year =       "2024",
  abstract =   "Visual Parameter Space Analysis (VPSA) enables domain
               scientists to explore input-output relationships of
               computational models. Existing VPSA applications often
               feature multi-view visualizations designed by visualization
               experts for a specific scenario, making it hard for domain
               scientists to adapt them to their problems without
               professional help. We present RSVP, the Rapid Suggestive
               Visualization Prototyping system encoding VPSA knowledge to
               enable domain scientists to prototype custom visualization
               dashboards tailored to their specific needs. The system
               implements a task-oriented, multi-view visualization
               recommendation strategy over a visualization design space
               optimized for VPSA to guide users in meeting their
               analytical demands. We derived the VPSA knowledge
               implemented in the system by conducting an extensive meta
               design study over the body of work on VPSA. We show how this
               process can be used to perform a data and task abstraction,
               extract a common visualization design space, and derive a
               task-oriented VisRec strategy. User studies indicate that
               the system is user-friendly and can uncover novel insights.",
  month =      sep,
  doi =        "10.1109/TVCG.2024.3431930",
  issn =       "1941-0506",
  journal =    "IEEE Transactions on Visualization and Computer Graphics",
  pages =      "18",
  publisher =  "IEEE COMPUTER SOC",
  keywords =   "input-output model, literature analysis, mixed-initiative
               system, unobtrusive visualization recommendation, user study",
  URL =        "https://www.cg.tuwien.ac.at/research/publications/2024/klaffenboeck-2024-rva/",
}