mlsanityData to 14 Oct 2026

DASH: A Bimodal Data Exploration Tool for Interactive Text and Visualizations

arXiv 2408.01011 ↗First posted 2 Aug 2024cs.HCcited by 2

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Abstract (arXiv)

Integrating textual content, such as titles, annotations, and captions, with visualizations facilitates comprehension and takeaways during data exploration. Yet current tools often lack mechanisms for integrating meaningful long-form prose with visual data. This paper introduces DASH, a bimodal data exploration tool that supports integrating semantic levels into the interactive process of visualization and text-based analysis. DASH operationalizes a modified version of Lundgard et al.'s semantic hierarchy model that categorizes data descriptions into four levels ranging from basic encodings to high-level insights. By leveraging this structured semantic level framework and a large language model's text generation capabilities, DASH enables the creation of data-driven narratives via drag-and-drop user interaction. Through a preliminary user evaluation, we discuss the utility of DASH's text and chart integration capabilities when participants perform data exploration with the tool.

Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). First posted on arXiv 2 Aug 2024.

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2 papers.