论文标题
叙事可视化以传达神经系统疾病
Narrative Visualization to Communicate Neurological Diseases
论文作者
论文摘要
虽然叙事可视化已成功地用于各种应用程序中,以将故事的格式传达给普通受众,但对于医学数据而言,情况并非如此。只有少数例外将表格医疗数据呈现给非专家。但是,医学可视化的一个关键组成部分是对3D数据的交互式分析,例如解剖结构的3D模型,迄今为止很少包含在叙事可视化中。在这项设计研究中,我们研究了如何通过叙事可视化技术以可以理解的方式通过叙事可视化技术传达神经疾病数据。我们设计了一种叙事可视化,解释了脑小血管疾病。了解其可避免的风险因素有助于激励观众观看所产生的视觉数据故事。使用此示例,我们讨论了基本叙事组成部分的适应。这包括故事的冲突和角色,以及故事的结构和内容,以解决和传达医学数据的特定特征。此外,我们探讨了需要简化复杂的医学关系的程度,以便在不扭曲基本数据和证据的情况下对一般受众可理解。特别是,需要对非专家进行预处理,必须找到适当的互动形式。我们探讨了使数据更加亲自相关的方法,例如包括虚构的患者。我们在一项用户研究中评估了我们的方法,其中40名参与者在设计故事的基于网络的实现中。我们发现,经过精心思考的故事情节与明确的关键信息,具有吸引力的可视化结合以及易于使用的互动的结合以及可靠的参考对于创建有关吸引观众的神经疾病的叙事可视化至关重要。
While narrative visualization has been used successfully in various applications to communicate scientific data in the format of a story to a general audience, the same has not been true for medical data. There are only a few exceptions that present tabular medical data to non-experts. However, a key component of medical visualization is the interactive analysis of 3D data, such as 3D models of anatomical structures, which were rarely included in narrative visualizations so far. In this design study, we investigate how neurological disease data can be communicated through narrative visualization techniques to a general audience in an understandable way. We designed a narrative visualization explaining cerebral small vessel disease. Learning about its avoidable risk factors serves to motivate the audience watching the resulting visual data story. Using this example, we discuss the adaption of basic narrative components. This includes the conflict and characters of a story, as well as the story's structure and content to address and communicate specific characteristics of medical data. Furthermore, we explore the extent to which complex medical relationships need to be simplified to be understandable to a general audience without distorting the underlying data and evidence. In particular, the data needs to be preprocessed for non-experts and appropriate forms of interaction must be found. We explore approaches to make the data more personally relatable, such as including a fictional patient. We evaluated our approach in a user study with 40 participants in a web-based implementation of the designed story. We found that the combination of a carefully thought-out storyline with a clear key message, appealing visualizations combined with easy-to-use interactions, and credible references are crucial for creating a narrative visualization about a neurological disease that engages an audience.