TY - GEN
T1 - Design Patterns in Rightto-Left Visualizations
T2 - 2024 IEEE Visualization and Visual Analytics Conference, VIS 2024
AU - Alebri, Muna
AU - Rakotondravony, Noelle
AU - Harrison, Lane
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - 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.
AB - 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.
KW - Data Journalism
KW - Design Patterns
KW - Right-To-Left Visualizations
UR - http://www.scopus.com/inward/record.url?scp=85215302504&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85215302504&partnerID=8YFLogxK
U2 - 10.1109/VIS55277.2024.00058
DO - 10.1109/VIS55277.2024.00058
M3 - Conference contribution
AN - SCOPUS:85215302504
T3 - Proceedings - 2024 IEEE Visualization Conference - Short Papers, VIS 2024
SP - 251
EP - 255
BT - Proceedings - 2024 IEEE Visualization Conference - Short Papers, VIS 2024
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 13 October 2024 through 18 October 2024
ER -