mlsanityData to 7 Oct 2026

Intelligent Canvas: Enabling Design-Like Exploratory Visual Data Analysis with Generative AI through Rapid Prototyping, Iteration and Curation

arXiv 2402.08812 ↗First posted 13 Feb 2024cs.HC cs.AIcited by 2

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Abstract (arXiv)

Complex data analysis inherently seeks unexpected insights through exploratory visual analysis methods, transcending logical, step-by-step processing. However, existing interfaces such as notebooks and dashboards have limitations in exploration and comparison for visual data analysis. Addressing these limitations, we introduce a "design-like" intelligent canvas environment integrating generative AI into data analysis, offering rapid prototyping, iteration, and comparative visualization management. Our dual contributions include the integration of generative AI components into a canvas interface, and empirical findings from a user study (N=10) evaluating the effectiveness of the canvas interface.

Key facts. Cited by 2 papers in the map (data through 7 Oct 2026). Builds on 8 of its 40 references that are in the map. First posted on arXiv 13 Feb 2024.

Builds on

8 of 40 references.

References · 8

  1. 2020Language Models are Few-Shot Learnerscited by 32,199
  2. 2021Evaluating Large Language Models Trained on Codecited by 8,053
  3. 2022StickyLand: Breaking the Linear Presentation of Computational Notebookscited by 6
  4. 2020Boba: Authoring and Visualizing Multiverse Analysescited by 5
  5. 2020Lyra 2: Designing Interactive Visualizations by Demonstrationcited by 3
  6. 2022Understanding and Supporting Debugging Workflows in Multiverse Analysiscited by 3
  7. 2023Freeform Templates: Combining Freeform Curation with Structured Templatescited by 1
  8. 2023WHATSNEXT: Guidance-enriched Exploratory Data Analysis with Interactive, Low-Code Notebookscited by 1

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2025: 1; 2026: 1.

2 papers.