In response to participant preferences and new ethics guidelines, researchers are increasingly sharing data with health study participants, including data on their own household chemical exposures. Data physicalization may be a useful tool for these communications, because it is thought to be accessible to a general audience and emotionally engaged. However, there are limited studies of data physicalization in the wild with diverse communities. Our application of this method in the Green Housing Study is an early example of using data physicalization in environmental health report-back. We gathered feedback through community meetings, prototype testing, and semistructured interviews, leading to the development of data t-shirts and other garments and person-sized bar charts. We found that participants were enthusiastic about data physicalizations, it connected them to their previous experience, and they had varying desires to share their data. Our findings suggest that researchers can enhance environmental communications by further developing the human experience of physicalizations and engaging diverse communities.

中文翻译：

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Data Clothing 和 BigBarChart：为个人和社区设计室内污染物的物理数据报告

为了响应参与者的偏好和新的道德准则，研究人员越来越多地与健康研究参与者共享数据，包括他们自己的家用化学品暴露数据。数据物理化可能是这些交流的有用工具，因为它被认为是普通观众可以访问的并且情感参与。然而，在具有不同社区的野外数据物理化研究有限。我们在绿色住房研究中应用这种方法是在环境健康报告中使用数据物理化的早期例子。我们通过社区会议、原型测试和半结构化访谈收集反馈，从而开发出数据 T 恤和其他服装以及个人大小的条形图。我们发现参与者对数据物理化充满热情，它将他们与他们以前的经历联系起来，他们分享数据的愿望各不相同。我们的研究结果表明，研究人员可以通过进一步发展人类物理化体验和参与不同社区来加强环境交流。