FW-HTF: Collaborative Research: An Embodied Intelligent Cognitive Assistant to Enhance Cognitive Performance of Shift Workers
FW-HTF: Collaborative Research: An Embodied Intelligent Cognitive Assistant to Enhance Cognitive Performance of Shift Workers
批准号:
1840167
负责人:
Akane Sano
金额:
$82.64万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2018
资助国家:
美国
项目状态:
已结题
起止时间:
2018-09-15 至 2024-08-31
中文摘要
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英文摘要
The Future of Work at the Human-Technology Frontier (FW-HTF) is one of 10 new Big Ideas for Future Investment announced by NSF. The FW-HTF cross-directorate program aims to respond to the challenges and opportunities of the changing landscape of jobs and work by supporting convergent research. This award fulfills part of that aim.This project develops a closed-loop embodied Intelligent Cognitive Assistant (e-ICA) to infer circadian rhythm, alertness, and stress levels and to provide personalized feedback to enhance users' cognitive ability and wellbeing in an unobtrusive and effortless manner. Approximately 20% of the labor force engages in shift work, which often leads to inadequate and poor sleep. Being out of synch with one's natural body clock, or circadian rhythm, can lead to many complications over time, including a higher likelihood for cardiovascular disease, cancer, obesity, and mental health problems. In addition, there can be serious deficits in cognitive performance, with productivity loss and more accidents in the workplace. This research program will design and develop a novel sensor-based e-ICA that can monitor shift workers' circadian rhythms, sleep patterns, and stress levels. The platform will be flexible so that it can be used to study broad populations in addition to shift workers. Given that 70 percent of the population suffers from circadian rhythm disruption, this technology has the potential to impact a wide range of workers and firms. In addition, the anonymized data and information about developed hardware and software will be shared in the community. The technology will impact the needs of a broad cross-section of stakeholders, but will be tested initially with medical residents and other health practitioners who typically work long shift that change every few weeks. Moreover, this project will also allow interdisciplinary cross fertilization between science, engineering, psychology, sleep and circadian biology, and psychiatry.The investigators explore ways to provide biologically and physiologically attuned support in the areas of cognitive ability, performance, sleep, and well-being based on the inferred individual circadian rhythm and personalized embodied assistance by: a) passively and continuously gathering behavioral and physiological streams through wearable, mobile and remote devices from workers in an effortless manner; b) continuously inferring each person's individual circadian rhythm, alertness, and stress in daily life settings; and c) providing personalized multi-sensory feedback or actionable behavioral suggestions to modulate circadian rhythm, alertness and stress levels with the aim of enhancing cognitive ability, performance and wellbeing. The investigators will test the efficacy, usability and acceptability of the system both in a series of laboratory studies and in an in-situ work environment.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.
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DOI:
10.1145/3596246
发表时间:
2023-06
期刊:
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies
影响因子:
--
作者:
[Han Yu;Akane Sano]
通讯作者:
Han Yu;Akane Sano
Toward the Analysis of Office Workers’ Mental Indicators Based on Wearable, Work Activity, and Weather Data
基于可穿戴设备、工作活动和天气数据的办公室职员心理指标分析
DOI:
--
发表时间:
2021
期刊:
International Conference on Activity and Behavior Computing (ABC
影响因子:
--
作者:
[Nishimura, Yusuke, Hossain, Tahera, Sano, Akane, Isomura, Shota, Arakawa, Yutaka, Inoue, Sozo]
通讯作者:
Inoue, Sozo
DOI:
10.1109/acii52823.2021.9597459
发表时间:
2021-07
期刊:
2021 9th International Conference on Affective Computing and Intelligent Interaction (ACII)
影响因子:
--
作者:
[Han Yu;T. Vaessen;I. Myin‐Germeys;Akane Sano]
通讯作者:
Han Yu;T. Vaessen;I. Myin‐Germeys;Akane Sano
Early versus Late Modality Fusion of Deep Wearable Sensor Features for Personalized Prediction of Tomorrow’s Mood, Health, and Stress*
深度可穿戴传感器功能的早期与晚期模态融合,用于个性化预测明天的情绪、健康和压力*
DOI:
--
发表时间:
2020
期刊:
Annual International Conference of the IEEE Engineering in Medicine and Biology Society
影响因子:
--
作者:
[Boning Li, Akane Sano]
通讯作者:
Akane Sano
DOI:
10.1038/s41598-020-71689-1
发表时间:
2020-09-15
期刊:
SCIENTIFIC REPORTS
影响因子:
4.6
作者:
[Tseng, Vincent W. -S., Sano, Akane, Choudhury, Tanzeem]
通讯作者:
Choudhury, Tanzeem
共 19 条
CAREER: Mobile Sensor-Based Adaptive Emotion Prediction and Feedback Delivery
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批准号:2047296
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项目类别:Standard Grant
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资助金额:$55.0万
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财政年份:2021
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负责人:Akane Sano
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依托单位:
国内基金
海外基金
转HTFα对脊髓继发性损伤和微循环重建的影响
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批准号:39970755
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项目类别:面上项目
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资助金额:13.0万元
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批准年份:1999
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负责人:毛伯镛
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依托单位: