Collaborative Research: CPS: TTP Option: Medium: i-HEAR: immersive Human-On-the-Loop Environmental Adaptation for Stress Reduction

毫无疑问，室内环境对居住者来说通常是不舒适或不健康的。在医疗机构中，这是一个更加关键的问题，因为患者可能会更严重地感受到不良热、光和声环境的压力效应。借助工程学和心理学的互补专业知识，拟议的研究重点是创建一个人在回路上，响应式室内环境系统，有可能在医院提供更好的护理质量。该项目的成果将对健康人的福祉和康复中的病人产生深远的社会影响。 研究成果将使真实的时间人类建造的环境相互作用，以尽量减少压力和优化性能在任何建筑环境，并最终导致通过健康和更高的生产力实现经济效益。改善医院环境的室内环境质量将改善患者的康复，这是一个重要的社会效益。类似的策略也可用于教育设施和办公楼。这项研究鼓励通过纳入代表性不足的群体（女性和拉丁裔共同PI），女性和少数民族学生，以及来自EPSCoR州的少数民族服务领导机构的个人来扩大参与。结果将通过科学出版物和研讨会以及K-12外展（包括STEM竞赛和夏季项目）广泛传播。室内环境质量（IEQ）不仅影响患者的身体健康，还影响他们的心理健康。然而，医院的供暖、制冷和通风、噪音衰减和照明等环境控制是基于过时的模式，即医院如何运作、谁占据这些环境以及可用的新兴技术。因此，许多医院只是功能上足够，往往可能太冷或太热，太吵，或太亮。为了充分利用医院建筑环境的愈合潜力，我们建议夏威夷大学马诺阿分校、亚利桑那州州立大学和德雷克塞尔大学进行为期三年的合作，开发创新的生物传感器技术、深度学习健康数据分析和以用户为中心的控制算法，以连接这三个领域，在这三个领域中，生理、物理、和心理将被调查，量化，并解决。该团队正在与费城儿童医院（CHOP）合作，以验证该方法。具体预期的工程/科学贡献包括：1）创新的网络物理系统架构，使用异构生物传感和数据分析进行实时控制; 2）新的传感器融合技术，用于非侵入性的精确生理测量，作为替代压力指标; 3）逐步发展创新的以人为中心的深度模型，将生理生物测定与心理测量相联系，并将环境因素与生理生物测定促进的心理测量相关联; 4）新的压力响应实时监督控制策略，包括最佳环境调整，以及5）通过虚拟实验室进行多层次系统评估，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。

There is no question that indoor environments are often uncomfortable or unhealthy for occupants. This is an even more critical issue in healthcare facilities, where patients may experience the stressful effects of poor thermal, luminous, and acoustic environments more acutely. With complementary expertise from engineering and psychology, the proposed research is focused on creating a human-on-the-loop, responsive indoor environmental system with the potential to offer better quality of care in hospitals. The outputs of this project will have profound societal impacts on the wellbeing of both healthy individuals and on recovering sick individuals. Research outcomes will enable real time human-built environment interaction to minimize stress and optimize performance in any built environment, and ultimately lead towards economic benefits achieved through wellness and higher productivity. Improved indoor environmental quality in hospital settings will improve patient healing, which is an important societal benefit. Similar strategies can be used for educational facilities, and office buildings. This research encourages Broadening Participation through inclusion of individuals from underrepresented groups (female and Latinx Co-PIs), female and minority students, and a minority serving lead institution from an EPSCoR state. Results will be disseminated broadly through scientific publications and seminars, and K-12 outreach, including STEM competitions, and summer programs.Indoor environmental quality (IEQ) not only impacts the physical health of patients, but also their psychological health. Yet environmental controls for heating, cooling and ventilation, noise attenuation, and lighting in hospitals are based on outdated models of how hospitals function, who occupies these settings, and what emerging technologies are available. As a result, many hospitals are just functionally adequate, often likely to be too cold or hot, too loud, or too bright. In order to capitalize on the healing potential of the hospital’s built environment, we propose a three-year collaborative effort between the University of Hawaii at Manoa, Arizona State University, and Drexel University to develop innovative biosensor technologies, deep-learning health data analytics, and user-centric control algorithms to connect these three domains in which the interdependencies of the physiological, physical, and psychological will be investigated, quantified, and addressed. The team is partnering with the Children’s Hospital of Philadelphia (CHOP) to validate the approach. Specific anticipated engineering/science contributions include: 1) innovative cyber-physical system architecture using heterogeneous biosensing and data analytics for real-time control; 2) new sensor fusion based technology for non-invasive, precise physiological measures that are surrogate stress indicators; 3) progressive development of innovative human centric deep model linking physiological biometrics to psychological measures, and connecting environmental factors to psychological measures facilitated with physiological biometrics; 4) new stress responsive real-time supervisory control strategies including optimal environmental adjustment, and 5) multi-level system evaluation via virtual, laboratory, and field testing at a hospital environment at CHOP.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.