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Lost in Translation: How Does Bilingualism Shape Reader Preferences for Annotated Charts? by Arunkumar, Anjana; Padilla, Lace; Bryan, Chris is a scholarly article available to read on EtoBox.

What is Lost in Translation: How Does Bilingualism Shape Reader Preferences for Annotated Charts? about?

Visualizations are powerful tools for conveying information but often rely on accompanying text for essential context and guidance. This study investigates the impact of annotation patterns on reader preferences and comprehension accuracy among multilingual populations, addressing a gap in visualization research. We conducted experiments with two groups fluent in English and either Tamil (n = 557) or Arabic (n = 539) across six visualization types, each varying in annotation volume and semantic content. Full-text annotations yielded the highest comprehension accuracy across all languages, while preferences diverged: English readers favored highly annotated charts, whereas Tamil/Arabic readers preferred full-text or minimally annotated versions. Semantic variations in annotations (L1-L4) did not significantly affect comprehension, demonstrating the robustness of text comprehension across languages. English annotations were generally preferred, with a tendency to think technically in English linked to greater aversion to non-English annotations, though this diminished among participants who regularly switched languages internally. Non-English annotations incorporating visual or exter

Author

Arunkumar, Anjana; Padilla, Lace; Bryan, Chris

Published

2025

Language

EN