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From the 1 of 4 linked papers with an AI index.

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20242026
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cs.HC2026

How Do Researchers Manage Visualization Experiment Stimuli?

Hyeok Kim, Jeffrey Heer

The paper examines how visualization researchers create, manage, and deploy experiment stimuli by interviewing 19 practitioners, revealing current practices, challenges, and opport…

cs.HC20261 cited

Automatic Synthesis of Visualization Design Knowledge Bases

Hyeok Kim, Sehi L'Yi, Nils Gehlenborg +1

Formal representations of the visualization design space, such as knowledge bases and graphs, consolidate design practices into a shared resource and enable automated reasoning and…

cs.HC2025

Data Augmentation for Visualization Design Knowledge Bases

Hyeok Kim, Jeffrey Heer

Visualization knowledge bases enable computational reasoning and recommendation over a visualization design space. These systems evaluate design trade-offs using numeric weights as…

cs.HC2024

DracoGPT: Extracting Visualization Design Preferences from Large Language Models

Huichen Will Wang, Mitchell Gordon, Leilani Battle +1

Trained on vast corpora, Large Language Models (LLMs) have the potential to encode visualization design knowledge and best practices. However, if they fail to do so, they might pro…

cs.HC2024

Mixing Linters with GUIs: A Color Palette Design Probe

Andrew McNutt, Maureen C. Stone, Jeffrey Heer

Visualization linters are end-user facing evaluators that automatically identify potential chart issues. These spell-checker like systems offer a blend of interpretability and cust…