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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…