LLM personas exhibit model-dependent personality effects on color choices and context-driven chart preferences, limiting their use as direct substitutes for human participants in visualization design.
Character Sequence Models for ColorfulWords
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abstract
We present a neural network architecture to predict a point in color space from the sequence of characters in the color's name. Using large scale color--name pairs obtained from an online color design forum, we evaluate our model on a "color Turing test" and find that, given a name, the colors predicted by our model are preferred by annotators to color names created by humans. Our datasets and demo system are available online at colorlab.us.
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cs.HC 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
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When Do LLM Personas Support Visualization Design? A Cross-Model Study of Color Assignment and Chart Choice
LLM personas exhibit model-dependent personality effects on color choices and context-driven chart preferences, limiting their use as direct substitutes for human participants in visualization design.