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

TL;DR
This paper presents an intelligent canvas environment that integrates generative AI to facilitate rapid, iterative, and design-like exploratory visual data analysis, overcoming limitations of traditional interfaces like notebooks and dashboards.
Contribution
It introduces a novel canvas interface with generative AI components for enhanced data exploration and provides empirical evidence of its effectiveness through a user study.
Findings
Enhanced exploration capabilities demonstrated in user study
Improved efficiency in data analysis tasks
Positive user feedback on interface usability
Abstract
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.
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Taxonomy
TopicsData Visualization and Analytics
