User study with 20 novices using ChatGPT identifies recurring AI visualization errors, user prompting issues, trust factors, and collaboration patterns, with distinct failure modes observed on Gemini and Claude.
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Raiven mediates LLM visualization authoring via a formally defined DSL that unifies scientific and information visualization, producing deterministic, verifiable code from metadata-only inputs.
Presents a new retrieval system that enriches user queries with an intent taxonomy to improve matching of natural language descriptions to infographic designs and support authoring.
Redundant color-shape encodings raise accuracy in class-correlation tasks for 5-8 categories, backed by experiments and turned into an automated palette tool.
Proposes tabular sequential graphs with amount-based, time-based, and combined grouping methods for decluttering money laundering transaction visualizations, evaluated via expert user study.
Semantic Reality maintains a persistent connectivity graph of objects in AR via multimodal reasoning and action recognition, then visualizes relationships to aid understanding and task guidance.
citing papers explorer
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Vibe Visualizing: How Visualization Novices Try (and Fail) to Generate and Interpret Visualizations with Conversational AI
User study with 20 novices using ChatGPT identifies recurring AI visualization errors, user prompting issues, trust factors, and collaboration patterns, with distinct failure modes observed on Gemini and Claude.
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Raiven: LLM-Based Visualization Authoring via Domain-Specific Language Mediation
Raiven mediates LLM visualization authoring via a formally defined DSL that unifies scientific and information visualization, producing deterministic, verifiable code from metadata-only inputs.
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Show Me the Infographic I Imagine: Intent-Aware Infographic Retrieval for Authoring Support
Presents a new retrieval system that enriches user queries with an intent taxonomy to improve matching of natural language descriptions to infographic designs and support authoring.
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Redundant is Not Redundant: Automating Efficient Categorical Palette Design Unifying Color & Shape Encodings with CatPAW
Redundant color-shape encodings raise accuracy in class-correlation tasks for 5-8 categories, backed by experiments and turned into an automated palette tool.
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The Balance between Nuance and Clarity: Decluttering Tabular Sequential Graphs to Counter Money Laundering
Proposes tabular sequential graphs with amount-based, time-based, and combined grouping methods for decluttering money laundering transaction visualizations, evaluated via expert user study.
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Semantic Reality: Interactive Context-Aware Visualization of Inter-Object Relationships in Augmented Reality
Semantic Reality maintains a persistent connectivity graph of objects in AR via multimodal reasoning and action recognition, then visualizes relationships to aid understanding and task guidance.