Design Patterns in Right-to-Left Visualizations: The Case of Arabic Content

Data visualizations are reaching global audiences. As people who use Right-to-left (RTL) scripts constitute over a billion potential data visualization users, a need emerges to investigate how visualizations are communicated to them. Web design guidelines exist to assist designers in adapting different reading directions, yet we lack a similar standard for visualization design. This paper investigates the design patterns of visualizations with RTL scripts. We collected 128 visualizations from data-driven articles published in Arabic news outlets and analyzed their chart composition, textual elements, and sources. Our analysis suggests that designers tend to apply RTL approaches more frequently for categorical data. In other situations, we observed a mix of Left-to-right (LTR) and RTL approaches for chart directions and structures, sometimes inconsistently utilized within the same article. We reflect on this lack of clear guidelines for RTL data visualizations and derive implications for visualization authoring tools and future research directions.

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Publication Details

Published
2024-10-13
DOI
https://doi.org/10.1109/vis55277.2024.00058
Citations
2
Primary Topic
Natural Language Processing Techniques
Type
article
Field-Weighted Citation Impact
0.69
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article

Design Patterns in Right-to-Left Visualizations: The Case of Arabic Content

Muna Alebri, Noëlle Rakotondravony, Lane Harrison
2 citations
Natural Language Processing Techniques
0.69
article

Design Patterns in Right-to-Left Visualizations: The Case of Arabic Content

Muna Alebri, Noëlle Rakotondravony, Lane Harrison
article en
2 citations

Abstract

Data visualizations are reaching global audiences. As people who use Right-to-left (RTL) scripts constitute over a billion potential data visualization users, a need emerges to investigate how visualizations are communicated to them. Web design guidelines exist to assist designers in adapting different reading directions, yet we lack a similar standard for visualization design. This paper investigates the design patterns of visualizations with RTL scripts. We collected 128 visualizations from data-driven articles published in Arabic news outlets and analyzed their chart composition, textual elements, and sources. Our analysis suggests that designers tend to apply RTL approaches more frequently for categorical data. In other situations, we observed a mix of Left-to-right (LTR) and RTL approaches for chart directions and structures, sometimes inconsistently utilized within the same article. We reflect on this lack of clear guidelines for RTL data visualizations and derive implications for visualization authoring tools and future research directions.

Worcester Polytechnic Institute (US), UCL Australia (AU), University College London (GB)
Openalex Percentile: Top 23%
Natural Language Processing Techniques
0.69
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