Position paper: A case to study the relationship between data visualization readability and visualization literacy

Anne-Flore Cabouat (1) , Tingying He (1) , Florent Cabric (1) , Tobias Isenberg (1) , Petra Isenberg (1)

1 AVIZ - Analysis and Visualization

In this position paper we argue that improving visualization literacy evaluation tools is important for defining and understanding the concept of readability in data visualizations. Only with reliable and relevant measures can we assess how a potential factor affects a reader’s performance; accordingly, only with appropriate measuring instruments can we start to investigate the tight web of interactions between individual characteristics, features of the visual design, and reading tasks requirements. As we slowly progress in our understanding of how people process information from data visualization, and based on these improved tools and other developments, we can further develop theoretical foundations in data visualization.

Keywords: Visualization Literacy; Visualization Readability; Data visualization and analysis; Data visualization literacy; concepts and paradigms Readability; Visualization literacy; Assessment tests ACM Reference; Empirical studies in visualization; Visualization design and evaluation methods; Visualization theory

Domains: Human-Computer Interaction [cs.HC]; Computer science

Anne-Flore Cabouat, Tingying He, Florent Cabric, Tobias Isenberg, Petra Isenberg. Position paper: A case to study the relationship between data visualization readability and visualization literacy. CHI 2024 - Workshop Toward a More Comprehensive Understanding of Visualization Literacy, May 2024, O'ahu (Honolulu), United States. ⟨hal-04523790v1⟩