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往往是不舒服或不健康的。在医疗保健设施中，这是一个更为关键的问题，在那里，患者可能会更严重地感受到差的热、光和声环境的压力效应。通过工程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循环，响应的室内环境系统，有可能在医院提供更好的护理质量。该项目的产出将对健康个人和康复病人的福祉产生深远的社会影响。研究成果将实现人类与建筑环境的实时互动，以最大限度地减少压力，优化任何建筑环境中的性能，并最终通过健康和更高的生产力实现经济效益。改善医院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。类似的策略也可以用于教育设施和办公大楼。这项研究鼓励通过纳入来自代表性不足的群体（女性和拉丁裔共同pi），女性和少数族裔学生以及来自EPSCoR州的少数族裔服务领导机构的个人来扩大参与。研究结果将通过科学出版物和研讨会，以及包括STEM竞赛和夏季项目在内的K-12外展活动广泛传播。室内环境质量不仅影响患者的身体健康，也影响患者的心理健康。然而，医院的供暖、制冷和通风、降噪和照明的环境控制是基于过时的模型，即医院如何运作、谁占用这些环境以及可用的新兴技术。因此，许多医院的功能仅仅是足够的，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治疗潜力，我们建议夏威夷大学马诺阿分校、亚利桑那州立大学和德雷塞尔大学进行为期三年的合作，共同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，在这些领域中，生理、物理和心理的相互依赖性将被调查、量化。并发表讲话。该团队正在与费城儿童医院（CHOP）合作验证该方法。具体预期的工程/科学贡献包括：1)利用异构生物传感和数据分析进行实时控制的创新网络物理系统架构；2)新的基于传感器融合的非侵入性、精确的生理测量技术，作为替代压力指标；3)逐步发展以人为中心的创新深度模型，将生理生物特征与心理测量相联系，并将环境因素与生理生物特征促进的心理测量相联系；4)新的压力响应实时监控策略，包括最优环境调整；5)在CHOP的医院环境中通过虚拟、实验室和现场测试进行多层次系统评估。该奖项反映了美国国家科学基金会的法定使命，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.