用故事化可视化提升疾病年龄分布的传达效果
Visualization of Age Distributions as Elements of Medical Data-Stories
- 设计三类图示：条形、堆叠图标、标注，对比表现
- 标注最利于理解与美观，条形图最吸引人注意
- 研究为医疗信息可视化提供可落地的设计指南
在医学等领域，年龄分布至关重要。尽管健康话题广泛传播，但健康信息沟通仍需加强。叙事性医疗可视化有望提升信息理解与记忆效果。本研究探索通过叙事可视化呈现疾病年龄分布的最佳方式。我们分析了现有可视化方案，组织跨领域受众工作坊，并回顾相关文献，提炼出关注理解力、美感、参与度和记忆性的设计原则。特别测试了三种象形图变体：以条形表示的象形图、堆叠象形图和标注。通过72名参与者评估18种视觉方案并经三位专家评审，发现标注在理解力和美学上最优；传统条形图在参与度上更受欢迎；其他变体更具记忆性。研究据此提出一套设计建议。
原文摘要 · Abstract (English)
In various fields, including medicine, age distributions are crucial. Despite widespread media coverage of health topics, there remains a need to enhance health communication. Narrative medical visualization is promising for improving information comprehension and retention. This study explores the most effective ways to present age distributions of diseases through narrative visualizations. We conducted a thorough analysis of existing visualizations, held workshops with a broad audience, and reviewed relevant literature. From this, we identified design choices focusing on comprehension, aesthetics, engagement, and memorability. We specifically tested three pictogram variants: pictograms as bars, stacked pictograms, and annotations. After evaluating 18 visualizations with 72 participants and three expert reviews, we determined that annotations were most effective for comprehension and aesthetics. However, traditional bar charts were preferred for engagement, and other variants were more memorable. The study provides a set of design recommendations based on these insights.
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