权益分类	功能权益	普通用户	{{item.name}}会员
{{category.name}}	{{benefitItem.name}}

FW-HTF-P: Wearable Adaptive Cognitive Assistance to Auditory Situational Awareness for Workers Exposed to Complex and Dynamic Noises

FW-HTF-P：可穿戴式自适应认知辅助，为暴露于复杂和动态噪声的工人提供听觉情境意识

基本信息

批准号：
1928550
负责人：
Tuyen Le
金额：
$ 14.62万
依托单位：
Clemson University
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2019
资助国家：
美国
起止时间：
2019-10-01 至 2021-07-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1928550&HistoricalAwards=false
关键词：
FW HTF Wearable Adaptive Cognitive

项目摘要

This Future of Work at the Human Technology Frontier project will create intelligent hearing protection devices (HPDs) for workers in settings with hazardous noise volumes. Long-term exposure to high levels of noise can cause serious mental and physical health problems. However, hearing protection that simply blocks all sound also eliminates important safety cues, such as audible alarms. The resulting reduction in situational awareness can greatly increase the risk of serious industrial accidents. This project investigates a new wearable hearing protection technology that uses artificial intelligence (AI) to amplify safety-critical sounds and help locate their source, while greatly attenuating ambient noise. If successful, this project will enable the development of an AI-based HPD solution to preserve auditory situational awareness while providing comprehensive hearing protection. The result has the potential to improve job performance and safety, and minimize occupational hearing loss for the approximately 22 million U.S. workers that are exposed to hazardous noise levels each year, with the associated social and economic cost savings. It can be difficult to convince employers and workers to accept new wearable safety equipment. Thus, this project includes technological, psychological, and socioeconomic research components, to achieve a complete understanding of the factors controlling intelligent HPD adoption and deployment.This interdisciplinary project aims to advance the field of adaptive wearable augmented hearing protection technology. This planning project includes two thrusts. The first thrust entails identifying important design considerations, the potential impacts of human and environmental factors on aural sensing decision making, the needs and beliefs of key relevant actors (i.e., workers, business leaders, policymakers, and insurance agents) through a variety of engagement field visits, individual meetings, and focus groups. The second thrust entails the exploration of appropriate solutions by conducting a comprehensive literature review, a multidisciplinary workshop, and several pilot studies with construction workers, focusing on: i) AI-based sound recognition, ii) human-machine teaming for auditory situation awareness, and iii) socioeconomic modeling of using wearable safety technologies at work. This project will produce new knowledge about the needs and concerns of the user and other relevant stakeholders. The project will also generate new data for the development of computational semantics-based sound filtering models considering important human and work specific factors including auditory cognition, work complexity, biological individual differences in hearing, and human-machine teaming for aural comprehension. Further, this project will provide insights necessary to model the interrelationship between societal and economic perspectives of cognitive HPDs. The ultimate goal of this project is to develop the necessary research personnel, research infrastructure, and foundational work to expand the opportunities for studying future technology, future workers, and future work at the level of a FW-HTF full research proposal.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.

这个人类技术前沿项目的未来工作将为处于危险噪音环境中的工人创造智能听力保护设备（HPD）。长期暴露在高水平的噪音中会导致严重的精神和身体健康问题。然而，简单地阻止所有声音的听力保护也消除了重要的安全提示，例如声音警报。由此造成的对情况的了解程度的降低会大大增加发生严重工业事故的风险。该项目研究了一种新的可穿戴听力保护技术，该技术使用人工智能（AI）来放大安全关键声音并帮助定位其来源，同时大大衰减环境噪声。如果成功，该项目将能够开发基于AI的HPD解决方案，以保持听觉情景意识，同时提供全面的听力保护。其结果有可能提高工作绩效和安全性，并最大限度地减少每年暴露于危险噪声水平的约2200万美国工人的职业性听力损失，并节省相关的社会和经济成本。很难说服雇主和工人接受新的可穿戴安全设备。因此，该项目包括技术，心理和社会经济研究组成部分，以全面了解控制智能HPD采用和部署的因素。这个跨学科项目旨在推进自适应可穿戴增强听力保护技术领域。该规划项目包括两个重点。第一个重点需要确定重要的设计考虑因素，人类和环境因素对听觉感知决策的潜在影响，关键相关参与者的需求和信念（即，工人、商界领袖、政策制定者和保险代理人），通过各种参与实地考察、个别会议和焦点小组。第二个重点是通过进行全面的文献综述，多学科研讨会和与建筑工人的几项试点研究来探索适当的解决方案，重点是：i）基于人工智能的声音识别，ii）听觉情景感知的人机合作，iii）在工作中使用可穿戴安全技术的社会经济建模。该项目将产生关于用户和其他相关利益攸关方的需求和关切的新知识。该项目还将产生新的数据，用于开发基于计算语义的声音过滤模型，该模型考虑了重要的人类和工作特定因素，包括听觉认知，工作复杂性，听觉的生物个体差异以及听觉理解的人机合作。此外，该项目将提供必要的见解，以模拟认知HPDs的社会和经济观点之间的相互关系。该项目的最终目标是培养必要的研究人员、研究基础设施和基础工作，以扩大在FW-HTF完整研究提案水平上研究未来技术、未来工作人员和未来工作的机会。该奖项反映了NSF的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。