Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN 37209, United States.
Columbia School of Nursing, New York, NY 10032, United States.
J Am Med Inform Assoc. 2024 Nov 1;31(11):2760-2765. doi: 10.1093/jamia/ocae123.
We sought to analyze interactive visualizations and animations of health probability data (such as chances of disease or side effects) that have been studied in head-to-head comparisons with either static graphics or numerical communications.
Secondary analysis of a large systematic review on ways to communicate numbers in health.
We group the research to show that 4 types of animated or interactive visualizations have been studied by multiple researchers: those that simulate experience of probabilistic events; those that demonstrate the randomness of those events; those that reduce information overload by directing attention sequentially to different items of information; and those that promote elaborative thinking. Overall, these 4 types of visualizations do not show strong evidence of improving comprehension, risk perception, or health behaviors over static graphics.
Evidence is not yet strong that interactivity or animation is more effective than static graphics for communicating probabilities in health. We discuss 2 possibilities: that the most effective visualizations haven't been studied, and that the visualizations aren't effective.
Future studies should rigorously compare participant performance with novel interactive or animated visualizations against their performance with static visualizations. Such evidence would help determine whether health communicators should emphasize novel interactive visualizations or rely on older forms of visual communication, which may be accessible to broader audiences, including those with limited digital access.
我们旨在分析健康概率数据(如疾病或副作用的几率)的交互可视化和动画效果,这些数据已在与静态图形或数字通信的头对头比较中进行了研究。
对大量关于如何在健康领域传达数字信息的系统综述进行二次分析。
我们将研究结果分组,以展示以下 4 种类型的动画或交互式可视化已经被多位研究人员研究过:模拟概率事件体验的那些;展示这些事件随机性的那些;通过顺序引导注意力到不同信息项来减少信息过载的那些;以及促进深入思考的那些。总体而言,这 4 种类型的可视化效果并没有显示出在理解、风险感知或健康行为方面优于静态图形的有力证据。
目前还没有强有力的证据表明交互性或动画比静态图形更有效地传达健康中的概率。我们讨论了两种可能性:最有效的可视化效果尚未被研究,或者可视化效果无效。
未来的研究应该严格比较参与者使用新颖的交互式或动画可视化效果与使用静态可视化效果的表现。这种证据将有助于确定健康传播者是否应该强调新颖的交互式可视化效果,还是依赖于更旧的可视化通信形式,这些形式可能更容易为更广泛的受众所接受,包括那些数字访问受限的受众。