SASAV introduces the first fully autonomous multi-agent system for scientific data analysis and visualization that operates without external prompting or human-in-the-loop feedback.
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A taxonomy and design space for chart annotations synthesized from qualitative coding of 1,800 static real-world examples.
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SASAV: Self-Directed Agent for Scientific Analysis and Visualization
SASAV introduces the first fully autonomous multi-agent system for scientific data analysis and visualization that operates without external prompting or human-in-the-loop feedback.
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A Qualitative Analysis of Common Practices in Annotations: A Taxonomy and Design Space
A taxonomy and design space for chart annotations synthesized from qualitative coding of 1,800 static real-world examples.