Communication Dans Un Congrès Année : 2026

Readability as a multi-measure construct in data visualization

Résumé

In this paper, we argue that readability cannot be meaningfully discussed without considering multiple complementary measures, and that relying on a single measure constitutes an epistemological choice that constrains the conclusions that can be drawn.

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hal-05548028 , version 1 (11-03-2026)

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  • HAL Id : hal-05548028 , version 1

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Anne-Flore Cabouat, Samuel Huron, Tobias Isenberg, Petra Isenberg. Readability as a multi-measure construct in data visualization. CHI 2026 STAR Workshop - Science and Technology for Augmenting Reading, Mar 2026, Barcelona, Spain. ⟨hal-05548028⟩
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