Comprehension and recall in data-driven visual communication : research data underlying the article

Bolko, Irena (author), Bavdaž, Mojca (author)

In today’s data-saturated society, visual communication has become an essential tool for making complex information accessible. As exposure to visual data increases—whether through educational settings, media outlets, official statistics, public institutions, or social media—the ability to interpret charts becomes a vital form of literacy. However, our knowledge of how charts from real-life contexts are understood and remembered, and what influences their comprehension and recall is relatively modest. This study examines how individuals comprehend and recall information from plain versus embellished bar charts using authentic Eurostat data. In a between-subjects design, participants described chart messages and recalled visuals at two different time points. Unlike traditional comprehension tests, open-ended responses were used to capture spontaneous interpretations, simulating a real-world task: viewing a public statistical chart and making sense of it without guidance. Most participants identified the general topic—often echoing the title—but deeper insights (e.g., pattern recognition, opinions) were rare. While embellishments did not affect message extraction, they significantly improved chart recall. A statistical background positively predicted recall, with some evidence also suggesting an association with comprehension, whereas cognitive reasoning and topic interest showed limited associations. These findings underscore the importance of chart titles, user experience, and design features in shaping understanding. The study advocates for improved chart wording, cautious use of embellishment, and educational efforts to foster data visualization literacy.

• Language: English
• Keywords: data visualization, chart comprehension, bar charts, statistical literacy, visual design
• Typology: 2.20 - Complete scientific database of research data
• Time coverage: The study was conducted on the Prolific research platform in December 2021.
• Organization: FDV - Faculty of Social Sciences; EF - School of Economics and Business
• Year: 2025
• PID: 20.500.12556/RUL-176646
• Data col. methods: Self-completed questionnaire
• Publication date in RUL: 08.12.2025

Licences

• License: CC BY 4.0, Creative Commons Attribution 4.0 International
• Link: http://creativecommons.org/licenses/by/4.0/
• Description: This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.

Secondary language

• Language: Slovenian
• Keywords: prikazovanje podatkov, razumevanje grafikonov, stolpčni grafikoni, statistična pismenost, grafično oblikovanje

Projects

• Funder: ARIS - Slovenian Research and Innovation Agency
• Project number: P5-0441
• Name: Regeneracija ekonomije in posla