The article by Cindy Xiong Bearfield et al., explores how visualization design influences the interpretation of data and subsequent decision-making. The study demonstrates that people may perceive different patterns in data based on how it is visually represented or what they find visually salient. The authors conducted experiments showing that visualization design, such as the use of bar charts, tables, and line charts, can alter the perceived patterns in data and people’s decisions. Techniques like visual annotation and visual highlighting were found to significantly sway reader decisions, emphasizing the role of visualizations as rhetorical devices in data interpretation and decision-making.
Publication date: 19 Jan 2024
Project Page: Not provided
Paper: https://arxiv.org/pdf/2401.09289
