论文标题
人道视觉AI:讲故事背后的故事
Humane Visual AI: Telling the Stories Behind a Medical Condition
论文作者
论文摘要
生物学理解是管理医疗状况的关键,但心理和社会方面也很重要。主要问题是,这两个方面很难量化,并且本质上很难交流。为了量化心理方面,这项工作在专门研究14条医疗条件的子社区中开采了大约半百万个Reddit帖子,并且使用了一个新的深入学习框架。这样一来,它就能够将医疗状况与情绪的情况联系起来。为了量化社会方面,这项工作设计了一种概率方法,该方法从英格兰国家卫生服务局开放了开处方数据,以计算药物处方的普遍性,并将这种流行率与人口普查数据联系起来。为了通过讲故事在视觉上传达每种医学状况的生物学,心理和社会方面,我们设计了一种叙事风格的分层马提尼玻璃可视化。在涉及52名参与者的用户研究中,在与我们的可视化互动后,许多人对先前持有的意见改变了主意:10%对医疗状况的心理方面更为重要,而27%的人更有利地有利于在医疗保健中使用社交媒体数据,这表明在交互式可视化中具有说服力元素的重要性。
A biological understanding is key for managing medical conditions, yet psychological and social aspects matter too. The main problem is that these two aspects are hard to quantify and inherently difficult to communicate. To quantify psychological aspects, this work mined around half a million Reddit posts in the sub-communities specialised in 14 medical conditions, and it did so with a new deep-learning framework. In so doing, it was able to associate mentions of medical conditions with those of emotions. To then quantify social aspects, this work designed a probabilistic approach that mines open prescription data from the National Health Service in England to compute the prevalence of drug prescriptions, and to relate such a prevalence to census data. To finally visually communicate each medical condition's biological, psychological, and social aspects through storytelling, we designed a narrative-style layered Martini Glass visualization. In a user study involving 52 participants, after interacting with our visualization, a considerable number of them changed their mind on previously held opinions: 10% gave more importance to the psychological aspects of medical conditions, and 27% were more favourable to the use of social media data in healthcare, suggesting the importance of persuasive elements in interactive visualizations.