VIZTA: Enhancing Comprehension of Distributional Visualization with Visual-Lexical Fused Conversational Interface

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dc.contributor.authorWang, Liangweien_US
dc.contributor.authorWang, Zhanen_US
dc.contributor.authorXiao, Shishien_US
dc.contributor.authorLiu, Leen_US
dc.contributor.authorTsung, Fugeeen_US
dc.contributor.authorZeng, Weien_US
dc.contributor.editorAigner, Wolfgangen_US
dc.contributor.editorAndrienko, Nataliaen_US
dc.contributor.editorWang, Beien_US
dc.date.accessioned2025-05-26T06:36:51Z
dc.date.available2025-05-26T06:36:51Z
dc.date.issued2025
dc.description.abstractComprehending visualizations requires readers to interpret visual encoding and the underlying meanings actively. This poses challenges for visualization novices, particularly when interpreting distributional visualizations that depict statistical uncertainty. Advancements in LLM-based conversational interfaces show promise in promoting visualization comprehension. However, they fail to provide contextual explanations at fine-grained granularity, and chart readers are still required to mentally bridge visual information and textual explanations during conversations. Our formative study highlights the expectations for both lexical and visual feedback, as well as the importance of explicitly linking these two modalities throughout the conversation. The findings motivate the design of VIZTA, a visualization teaching assistant that leverages the fusion of visual and lexical feedback to help readers better comprehend visualization. VIZTA features a semantic-aware conversational agent capable of explaining contextual information within visualizations and employs a visual-lexical fusion design to facilitate chart-centered conversation. A between-subject study with 24 participants demonstrates the effectiveness of VIZTA in supporting the understanding and reasoning tasks of distributional visualization across multiple scenarios.en_US
dc.description.sectionheadersStorytelling, Integration of Visualization and Text
dc.description.seriesinformationComputer Graphics Forum
dc.identifier.doi10.1111/cgf.70110
dc.identifier.issn1467-8659
dc.identifier.pages12 pages
dc.identifier.urihttps://doi.org/10.1111/cgf.70110
dc.identifier.urihttps://diglib.eg.org/handle/10.1111/cgf70110
dc.publisherThe Eurographics Association and John Wiley & Sons Ltd.en_US
dc.rightsAttribution 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectCCS Concepts: Human-centered computing → Visualization systems and tools
dc.subjectHuman centered computing → Visualization systems and tools
dc.titleVIZTA: Enhancing Comprehension of Distributional Visualization with Visual-Lexical Fused Conversational Interfaceen_US
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