CHS: Small: Collaborative Research: Ubiqomics: HCI for augmenting our world with pervasive personal and environmental omic data

近年来，关于基因组或微生物组的个人和环境“组学”数据对非专家的可用性急剧增加。流行的组学测试服务产生关于人们的个人基因组，关于他们的微生物组以及关于他们生活环境中的植物和有机体的数据。因此，没有接受过生命科学正规教育的人可以通过将自己收集的样本发送给直接面向消费者的测试提供商来获取他们的组学数据，并在线提供结果。然后，这些人需要解释大量复杂的数据，这些数据涉及敏感问题，如疾病风险、携带者状态以及与健康和身体特征的潜在有意义的相关性。虽然个人组学有望在健康方面取得进步，例如通过精准医学，但这些方法产生的大量潜在发现和快速演变的解释很难与大多数非专家沟通。该项目旨在使人们能够探索、分享、管理和更好地理解这些数据，从而对他们的福祉产生重大影响。该项目将确定用户需求并开发新颖的人机界面，以帮助人们理解个人，社会和环境的组学数据。这些工具将在真实的家庭的纵向研究中进行评估，既验证工作，又对参与者对数据的理解及其福祉产生直接影响。这些工具也将通过Open Humans提供，这是一个开放平台，汇集了研究人员，公民科学家和共享个人组学数据的公众成员。此外，该项目还将提高非专家的组学素养，并促进妇女和其他代表性不足的少数群体参与STEM研究。该项目将开展UbiqOmic环境下的人机交互研究：生活空间和社会互动，其中可以获得关于人，植物，动物和表面的组学数据。特别是，该小组将确定用户需求，并开发基于网络的可视化工具，整合来自不同资源和多个样本的组学数据集。这些工具将允许用户聚合，探索，关联和连接普遍的组学信息，并促进在各种社会背景下，包括家庭和同居社区的组学信息的协作意义。此外，该项目将利用增强现实（AR）的力量来可视化不可见的东西，设计，开发和评估AR界面，该界面将及时和可操作的组学数据覆盖在环境和用户自己的身体（口腔，肠道，皮肤）上。该团队将通过一系列可用性和纵向研究，与普通受众和早期采用者一起评估这些工具。该项目将推进人机交互、计算机支持的合作工作和个人信息学领域。该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

Recent years are seeing a sharp increase in the availability of personal and environmental 'omic' data about genomes or microbiomes to non-experts. Popular omic testing services produce data about people's personal genome, about their microbiome, and about plants and organisms in their living environment. As a result, people with no formal education in the life sciences can get access to their omic data by sending a self-collected sample to a direct-to-consumer testing provider, and results are delivered online. These people then need to interpret large amounts of complex data involving sensitive issues such as disease risk, carrier status, and potentially meaningful correlations with health and physical traits. While personal omics promise advances in health, for example through precision medicine, the slew of potential findings and the rapidly evolving interpretations these approaches produce are difficult to communicate to most non-experts. This project aims to empower people to explore, share, curate and better understand such data, which in turn can make substantial impact on their wellbeing. The project will identify user needs and develop novel human-computer interfaces to help people make sense of personal, social, and environmental omic data. These tools will be evaluated in a longitudinal study in real households, both validating the work and providing direct impact on participants' understanding of the data and their wellbeing. The tools will also be available through Open Humans, an open platform that brings together researchers, citizen scientists, and members of the public who share their personal omic data. In addition, the project will increase omic literacy among non-experts and contribute to increasing the participation of women and other underrepresented minorities in STEM research.The project will conduct research on human-computer interaction for UbiqOmic environments: living spaces and social interactions where omic data is available about people, plants, animals, and surfaces. In particular, the team will identify user needs and develop web-based visual tools that integrate omic data sets from heterogeneous resources and multiple samples. These tools will allow users to aggregate, explore, relate, and connect pervasive omic information, and facilitate collaborative sense making of omic information within various social contexts including families and cohabiting communities. In addition, the project will harness the power of augmented reality (AR) to visualize the invisible, designing, developing, and evaluating an AR interface which overlays timely and actionable omic data in the environment and on the user's own body (oral, gut, skin). The team will evaluate these tools with both general audiences and early adopters through a series of usability and longitudinal studies. The project will advance the fields of human-computer interaction, computer-supported cooperative work, and personal informatics.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.