I-Corps: Integrating Complex Augmented Reality Systems in Nursing Education

I-Corps:将复杂的增强现实系统集成到护理教育中

基本信息

  • 批准号:
    2349446
  • 负责人:
  • 金额:
    $ 5万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2024
  • 资助国家:
    美国
  • 起止时间:
    2024-02-01 至 2025-01-31
  • 项目状态:
    未结题

项目摘要

The broader impact/commercial potential of this I-Corps project is the development of new technologies and innovative teaching methods that integrate into current nursing education systems to improve training and better equip nurses for clinical work. This approach could ultimately reduce medical errors among early-career nurses. The potential societal impact lies in potential savings by Medicare and other insurance providers who typically bear the financial burden of medical malpractice costs. It is expected that this new technology will provide low-cost access to high fidelity simulation and education to nursing education institutions across the US.This I-Corps project is based on the development of medical simulation to enhance nursing education using augmented reality (AR). The proposed approach will use AI-driven AR scenarios, combined with novel haptic feedback devices, to provide a high-fidelity simulation experience. Artificial Intelligence Driven AR includes the use of conversational holographic patients and process-aware scenarios through which to guide trainees. The haptic feedback devices include new wearable force-feedback modules and thermal feedback modules that allow trainees to feel and interact with virtual objects and, more importantly, holographic patients.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I-Corps项目的更广泛的影响/商业潜力是开发新技术和创新的教学方法,将其融入当前的护理教育系统,以改善培训并更好地为护士提供临床工作。这种方法最终可以减少早期职业护士的医疗错误。潜在的社会影响在于医疗保险和其他保险提供者的潜在储蓄,他们通常承担医疗事故费用的财务负担。预计这项新技术将为美国各地的护理教育机构提供低成本的高保真模拟和教育。这个I-Corps项目是基于医疗模拟的发展,以利用增强现实(AR)加强护理教育。该方法将使用AI驱动的AR场景,结合新颖的触觉反馈设备,以提供高保真的模拟体验。人工智能驱动的AR包括使用对话全息患者和过程感知场景来指导学员。触觉反馈设备包括新的可穿戴力反馈模块和热反馈模块,使受训者能够感受虚拟物体并与之互动,更重要的是,全息患者。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。

项目成果

期刊论文数量(0)
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Nilanjan Sarkar其他文献

Stress Detection of Autistic Adults during Simulated Job Interviews using a Novel Physiological Dataset and Machine Learning
使用新颖的生理数据集和机器学习在模拟工作面试期间检测自闭症成人的压力
  • DOI:
    10.1145/3639709
  • 发表时间:
    2024
  • 期刊:
  • 影响因子:
    2.4
  • 作者:
    Miroslava Migovich;Deeksha Adiani;Michael Breen;A. Swanson;Timothy J. Vogus;Nilanjan Sarkar
  • 通讯作者:
    Nilanjan Sarkar
An Iterative Participatory Design Approach to Develop Collaborative Augmented Reality Activities for Older Adults in Long-Term Care Facilities
一种迭代参与式设计方法,为长期护理机构中的老年人开发协作增强现实活动
Analysis of order of redundancy relation for robust actuator fault detection
  • DOI:
    10.1016/j.conengprac.2009.02.014
  • 发表时间:
    2009-08-01
  • 期刊:
  • 影响因子:
  • 作者:
    Bibhrajit Halder;Nilanjan Sarkar
  • 通讯作者:
    Nilanjan Sarkar
Control of Mechanical Systems with Rolling Constraints : Application to Dynamic Control of Mobile Robots MS-CIS-92-44 GRASP LAB 320
  • DOI:
  • 发表时间:
    2014
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Nilanjan Sarkar
  • 通讯作者:
    Nilanjan Sarkar
Poster 8 Sensor-enabled Radio Frequency Identification Tags for Remotely Monitoring Everyday Arm Activity: Sensitivity and Specificity
  • DOI:
    10.1016/j.apmr.2011.07.030
  • 发表时间:
    2011-10-01
  • 期刊:
  • 影响因子:
  • 作者:
    Joydip Barman;Gitendra Uswatte;Touraj Ghaffari;Nilanjan Sarkar;Brad Sokal;Ezekiel Byrom;Eva Trinh;Christopher Varghese;Michael Brewer;Alan Shih
  • 通讯作者:
    Alan Shih

Nilanjan Sarkar的其他文献

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{{ truncateString('Nilanjan Sarkar', 18)}}的其他基金

SCC-CIVIC-FA Track B: Community Informed AI-Based Vehicle Technology Simulator with Behavioral Strategies to Advance Neurodiverse Independence and Employment
SCC-CIVIC-FA 轨道 B:社区知情的基于人工智能的车辆技术模拟器,具有促进神经多样性独立和就业的行为策略
  • 批准号:
    2322029
  • 财政年份:
    2023
  • 资助金额:
    $ 5万
  • 项目类别:
    Standard Grant
SCC-CIVIC-PG Track B: Community Informed AI-Based System for Driver Training to Advance Neurodiverse Independence and Employment
SCC-CIVIC-PG 轨道 B:社区知情的基于人工智能的驾驶员培训系统,以促进神经多样化的独立和就业
  • 批准号:
    2228370
  • 财政年份:
    2022
  • 资助金额:
    $ 5万
  • 项目类别:
    Standard Grant
SCC-IRG Track 1 Reducing Loneliness for Long Term Care Older Adults through Collaborative Augmented Reality
SCC-IRG 第 1 轨道通过协作增强现实减少长期护理老年人的孤独感
  • 批准号:
    2225890
  • 财政年份:
    2022
  • 资助金额:
    $ 5万
  • 项目类别:
    Standard Grant
SCH: Enhanced detection of impending problem behavior in people with intellectual and developmental disabilities through multimodal sensing and machine learning
SCH:通过多模态传感和机器学习增强对智力和发育障碍人士即将出现的问题行为的检测
  • 批准号:
    2124002
  • 财政年份:
    2021
  • 资助金额:
    $ 5万
  • 项目类别:
    Standard Grant
Convergence Accelerator Phase I(RAISE): Empowering Neurodiverse Populations for Employment through Inclusion AI and Innovation Science
融合加速器第一阶段(RAISE):通过包容性人工智能和创新科学为神经多样化人群提供就业机会
  • 批准号:
    1936970
  • 财政年份:
    2019
  • 资助金额:
    $ 5万
  • 项目类别:
    Standard Grant
Individualized Adaptive Robot-Mediated Intervention Architecture for Autism
个体化自适应机器人介导的自闭症干预架构
  • 批准号:
    1264462
  • 财政年份:
    2013
  • 资助金额:
    $ 5万
  • 项目类别:
    Standard Grant
Student Travel Support for 2012 IEEE International Conference on Robotics and Automation
2012 年 IEEE 国际机器人与自动化会议学生旅行支持
  • 批准号:
    1216519
  • 财政年份:
    2012
  • 资助金额:
    $ 5万
  • 项目类别:
    Standard Grant
A Novel Adaptive Transactional Virtual Reality-based Assistive Technology for Autism Intervention
一种用于自闭症干预的新型自适应交易虚拟现实辅助技术
  • 批准号:
    0967170
  • 财政年份:
    2010
  • 资助金额:
    $ 5万
  • 项目类别:
    Continuing Grant
SGER: An Affect-Sensitive, Anticipatory Control Framework for Human-Robot Cooperation
SGER:用于人机合作的情感敏感、预期控制框架
  • 批准号:
    0107775
  • 财政年份:
    2001
  • 资助金额:
    $ 5万
  • 项目类别:
    Standard Grant

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