CHS: Small: Computational Modeling of Human Rhythms to Improve Health and Quality of Life

根据最近的研究，平衡是健康和幸福的重要贡献者。健康挑战与工作和个人的不平衡有关，表现为超负荷，超出了人类管理自身自然节奏的能力。这些超负荷的部分原因是活动的强加和对生物和心理需求的不合时宜或不相容的要求，或在满足工作和生活需求时缺乏对精神和身体状态的同步或接受性的注意。关于生活管理和健康的建议通常是通用的（例如，每天睡8小时），而不是针对个人的生活方式。这项研究提出通过对个人节奏的认识来改善个人的健康和幸福，个人节奏是内部和外部事件的重复循环，包括生物、心理、社会和环境。研究人员试图设计和评估一种数据分析和建模方法，使人们意识到他们可以在任何给定的时间做什么，以配合他们的生物钟，并在日常生活和工作中获得高绩效，而不会耗尽精力或产生与压力相关的疾病。该研究为收集纵向数据和模拟人类节奏提供了一个智能平台，可以检测当前和预测每个节奏的未来状态，从而提供最佳的行动建议和干预措施。这项工作利用可穿戴设备、传感技术和在线资源的进步，主动收集和分析生理、心理、行为、社会和环境数据，以识别个人节奏，探索它们与积极的身体、心理和行为结果的关系，并为人们提供工具来推理这些关系并改善结果。除了推进节奏模式建模的艺术状态外，该研究还将展示节奏感知技术在改变人们方面的影响。并引导他们走向更平衡、更成功的生活。将个人节奏融入个人日常生活将改变社会活动和人的整体表现，并有助于创造一个更健康的社会。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。

According to recent research, balance is a significant contributor to health and well-being. Health challenges are associated with work and personal imbalances, in the form of overload, that exceed human capability to manage their own natural pace. Part of these overloads are due to the imposition of activities and mis-timed or incompatible demands on biological and psychological needs, or lack of attention to synchronization or receptivity of mental and physical states when meeting work and life demands. Advice about life management and health is often generic (for example, have 8 hours sleep a day) rather than tailored to individual lifestyles. This research proposes to improve health and wellbeing in individuals through awareness of their personal rhythms, which are repeated cycles of internal and external events including biological, mental, social, and environmental. The investigators seek to design and evaluate a data analytic and modeling method to make people aware of what they could be doing at any given time to align with their biological clock and to achieve high performance in daily life and work without burning out or developing stress-related disorders. The research provides an intelligent platform for collecting longitudinal data and modeling human rhythms to enable detection of current, and prediction of future states in each rhythm to provide optimal action recommendations and interventions. The work leverages advances in wearable devices, sensing technology, and online sources to proactively collect and analyze physiological, psychological, behavioral, social, and environmental data to identify personal rhythms, to explore their relationship to positive physical, mental, and behavioral outcomes, and to provide people with tools to reason about these relationships and to improve outcomes. In addition to advancing the state of the art in modeling rhythmic patterns, the research will demonstrate the impact of rhythm-aware technology in changing people?s perceptions and behavior and directing them towards a more balanced and successful life. Integration of personal rhythms in daily lives of individuals will transform societal activities and the overall performance of people and contributes to creating a healthier society.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.