Abstract
This study aims to explore techniques for eliciting emotional empathy in data visualization. To achieve this, it utilizes preceding research to derive tools for measuring levels of empathy, and analyzes the impact of different types of data visualization on empathy and charitable behaviors to develop a humanism-based data design strategy. The methodology encompasses both literature review and empirical research, reviewing 11 previous studies to identify the types of data visualization and tools for empathy measurement. For empirical analysis, four types of visualizations were created and subjected to an online survey with 95 Korean adults between April 10 to 15, 2023. The analysis revealed that the type of data visualization significantly influences the viewer's emotional response and charitable actions. Notably, realistic illustration elicited the highest level of empathy, while metaphorical infographics induced moderate levels of empathy and donations. This research provides valuable insights for establishing data visualization strategies grounded in humanism.
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