Researchers have developed Athanor, a new method that uses multimodal large language models to transform static data visualizations into interactive ones through natural language instructions. This approach eliminates the need for programming by mapping user actions to visualization adjustments and translating natural language commands into operational steps. Case studies and user interviews indicate that Athanor effectively and conveniently enables flexible interactions for existing static visualizations. AI
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IMPACT Enables non-programmers to create interactive data visualizations, potentially broadening access to data analysis tools.
RANK_REASON Academic paper introducing a novel method for transforming static visualizations into interactive ones using LLMs.