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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
FW-HTF:协作研究:增强轮班工人认知表现的具体智能认知助手
批准号:
1839999
负责人:
Deepak Ganesan
金额:
$62.79万
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 2023-08-31

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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.
期刊论文(6)
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会议论文
DOI: 10.1145/3513023
发表时间: 2021-06
期刊: ACM Transactions on Computing for Healthcare (HEALTH)
影响因子: --
作者: [Soha Rostaminia;S. Z. Homayounfar;A. Kiaghadi;Trisha L. Andrew;Deepak Ganesan]
通讯作者: Soha Rostaminia;S. Z. Homayounfar;A. Kiaghadi;Trisha L. Andrew;Deepak Ganesan
DOI: 10.1145/3625687.3625787
发表时间: 2023-11
期刊: Proceedings of the 21st ACM Conference on Embedded Networked Sensor Systems
影响因子: --
作者: [Xingda Chen;Ankur Aditya;Zhenyu Lei;Deepak Ganesan]
通讯作者: Xingda Chen;Ankur Aditya;Zhenyu Lei;Deepak Ganesan
DOI: 10.1145/3570361.3592514
发表时间: 2023-07
期刊: Proceedings of the 29th Annual International Conference on Mobile Computing and Networking
影响因子: --
作者: [Jin Huang;H. Guan;Deepak Ganesan]
通讯作者: Jin Huang;H. Guan;Deepak Ganesan
CSR: Medium: Systems Abstractions for Self-Powered Smart Textiles
  • 批准号:
    1763524
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $110.91万
  • 财政年份:
    2018
  • 负责人:
    Deepak Ganesan
  • 依托单位:
CHS: Small: Robust Eye Tracking and Facial Context Sensing for Mobile Augmented Reality and Virtual Reality
  • 批准号:
    1815347
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $50.0万
  • 财政年份:
    2018
  • 负责人:
    Deepak Ganesan
  • 依托单位:
EAGER: Preliminary Studies for Real-Time Tracking of Cognitive Fatigue via Eye Movement Patterns
  • 批准号:
    1551850
  • 项目类别:
    Standard Grant
  • 资助金额:
    $15.0万
  • 财政年份:
    2015
  • 负责人:
    Deepak Ganesan
  • 依托单位:
Student Travel Support for the ACM HotWireless 2014 Workshop
  • 批准号:
    1454953
  • 项目类别:
    Standard Grant
  • 资助金额:
    $0.5万
  • 财政年份:
    2014
  • 负责人:
    Deepak Ganesan
  • 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
  • 批准号:
    39970755
  • 项目类别:
    面上项目
  • 资助金额:
    13.0万元
  • 批准年份:
    1999
  • 负责人:
    毛伯镛
  • 依托单位: