Kavli Affiliate: Michael Wimmer
| First 5 Authors: Manfred Klaffenboeck, Michael Gleicher, Johannes Sorger, Michael Wimmer, Torsten Möller
| Summary:
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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