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

基本信息

  • 批准号:
    2322029
  • 负责人:
  • 金额:
    $ 100万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2023
  • 资助国家:
    美国
  • 起止时间:
    2023-10-01 至 2025-02-28
  • 项目状态:
    未结题

项目摘要

One in 36 individuals in the US has autism spectrum disorder (ASD). Each year in the US, approximately 70,000 autistic children become autistic adults and face a litany of disheartening statistics regarding independent living, community participation, and employment. The estimated cost of supporting Americans with autism having limited employment prospects will grow to $461 billion per year by 2025. One key to addressing this civic challenge is employment; some 85 percent of autistic adults are un/under-employed, and adults with autism rate employment as their top concern for improved quality of life. However, a major impediment for autistic individuals to access work opportunities and a life of independence, is lack of independence with transportation; fewer than 30 percent of driving-age autistic individuals are licensed to drive. The CIVIC Stage 2 award to Vanderbilt University will support the rapid pilot deployment of the team’s AI-based Vehicle Technology Simulator with Behavioral Strategies (AI-VTSBS) system, specifically designed for the ASD population – comprising a virtual-reality driving simulator with artificial intelligence-based analysis and feedback, together with a curriculum built on a cognitive behavioral intervention for driving – to address this critical civic need. The project will perform community-based participatory research including multiple stakeholders to make the AI-VTSBS system adaptable to use within multiple employment contexts and multiple employment outcomes of relevance to stakeholder communities. The team led by Vanderbilt University and partner San Diego State University will build on its work on Stage 1 and will conduct a full Stage 2 pilot deployment with multiple types of civic partners and support providers – including community-based vocational training centers, behavioral health clinics, and secondary schools – toward an effective, low-cost, commercializable, integrated driving-instruction platform and curriculum, with a value proposition that offers increased independence and expanded career options for autistic people. The Stage 2 research pilot project will use an implementation science framework involving Exploration, Preparation, Implementation and Sustainment (EPIS) to specifically assess and pilot-test deployment factors with both qualitative and quantitative methods. Additionally, the AI-VTSBS technology may also be generalizable beyond adults with autism; some 1 in 6 people have a related neurodevelopmental disability (e.g., ADHD) or temporary cognitive impairment (e.g., traumatic brain injury) that manifest similar challenges for transportation independence. The CIVIC Stage 2 work will be integrated with the NSF NRT program in Neurodiversity Inspired Science & Engineering (NISE) through Vanderbilt University’s Frist Center for Autism & Innovation, thus providing advanced training for students in interdisciplinary research and translation.CIVIC is a joint collaboration with Department of Energy, Department of Homeland Security, and the National Science FoundationThis 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.
在美国,有36人患有自闭症谱系障碍(ASD)。每年在美国,大约有70,000名加速儿童成为自闭症成年人,并面临有关独立生活,社区参与和就业的一系列洗碗统计数据。到2025年,支持自闭症的美国人的估计成本将每年增长到每年4610亿美元。应对这一公民挑战的关键之一是就业。大约85%的加速成年人是联合国/失业者,自闭症利率就业的成年人对改善生活质量的最大关注。但是,加速个人获得工作机会和独立生活的主要障碍是缺乏运输的独立性。不到30%的驾驶年龄加速人员获得驾驶许可。范德比尔特大学(Vanderbilt University)的公民2阶段奖将支持该团队基于AI基于AI的车辆技术模拟器的快速试点部署,其行为策略(AI-VTSBS)系统是专门为ASD人口设计的 - 通过基于人工智能的分析和反馈来编译基于人工智能的分析和反馈,以及对认知行为互动的构建,以实现认知行为式的练习,以实现人工智能的分析和反馈。该项目将进行基于社区的参与研究,包括多个利益相关者,以使AI-VTSBS系统适应在多个就业环境中使用,并与利益相关者社区相关的多个就业成果。 The team led by Vanderbilt University and partner San Diego State University will build on its work on Stage 1 and will conduct a full Stage 2 pilot deployment with multiple types of civic partners and support providers – including community-based vocational training centers, behavioral health clinics, and secondary schools – towards an effective, low-cost, commercializable, integrated driving-instruction platform and curriculum, with a value proposal that offers increased independence and expanded career options for accelerated people.第2阶段研究飞行员项目将使用涉及探索,准备,实施和维持(EPIS)的实施科学框架来通过定性和定量方法进行特定评估和试点测试的部署因素。此外,AI-VTSBS技术也可能是自闭症成年人的推广。六分之一的人患有相关的神经发育障碍(例如ADHD)或暂时的认知障碍(例如,创伤性脑损伤),对运输独立性也表现出了类似的挑战。公民阶段2的工作将与NSF NRT计划通过范德比尔特大学的自闭症与创新中心启发了科学与工程(NISE),从而为跨学科研究和翻译的学生提供高级培训。科学领域是与国土科学委员会和国民科学局的共同合作,以及在国民科学局中的共同合作。使用基金会的智力优点和更广泛的影响评估标准进行评估。

项目成果

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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

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
  • 批准号:
    2349446
  • 财政年份:
    2024
  • 资助金额:
    $ 100万
  • 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:
    $ 100万
  • 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:
    $ 100万
  • 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:
    $ 100万
  • 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:
    $ 100万
  • 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:
    $ 100万
  • 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:
    $ 100万
  • 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:
    $ 100万
  • 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:
    $ 100万
  • 项目类别:
    Standard Grant

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矛盾体验对边界员工组织间公民行为的影响机制研究
  • 批准号:
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