Data visualization is a powerful tool for conveying statistical information, but when representing populations, it tends to hide individuals. We introduce Zoomable Empathic Visualizations (ZEVs), interactive experiences allowing users to smoothly navigate between abstract statistical visualizations and more qualitative, relatable representations focused on individuals. We present three use cases of ZEVs and report on a qualitative user study that highlights opportunities for deeper understanding and emotional engagement, while pointing to areas for improvement and further refinement. In summary, ZEVs point toward new approaches for revealing the individuals behind the data.

翻译：数据可视化是传达统计信息的强大工具，但在呈现群体时，往往隐藏了个体。我们提出可缩放移情可视化（ZEVs），这是一种交互式体验，允许用户在抽象的统计可视化与聚焦于个体的更具定性、可共情性的表征之间平滑导航。我们展示了三个ZEVs用例，并报告了一项定性用户研究，该研究揭示了实现更深层次理解和情感参与的机会，同时指出了待改进和进一步完善的领域。总之，ZEVs指向了揭示数据背后个体的新方法。