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
基本信息
- 批准号:2228370
- 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:2022
- 资助国家:美国
- 起止时间:2022-10-01 至 2024-03-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
In 2022, approximately 70,000 young adults with autism will leave high school and face a litany of disheartening statistics regarding independent living, community participation, and employment. Adults with autism rate employment as their top concern. A major impediment for autistic individuals to access work opportunities specifically is lack of independence with transportation; fewer than a third of driving-age individuals with autism are licensed to drive while many more are capable with the right training. This project offers a community-driven planning process to explore how a prototype of an advanced artificial-intelligence-based driving-training (AIDT) system, specifically designed for neurodiverse individuals, that together with a curriculum built on a cognitive behavioral intervention for driving, can offer an effective solution for communities to help capable autistic individual become licensed drivers, who are confident in their driving ability and able to more fully participate in community life.This Stage-1 project seeks to plan for a full pilot deployment with multiple types of civic partners and support providers – including community-based training centers and clinics, schools, and others – toward an effective, low-cost, commercializable, driving-instruction platform, with a value proposition that offers increased independence and expanded career options for individuals with autism. An AIDT prototype has been tested and demonstrated in Nashville, Tennessee, and San Diego, California. The research in this Planning Grant will involve a large group of civic entities in a community-engaged, mixed methods quantitative and qualitative data collection process to identify context determinants that are important to address within the AIDT system and in constructing a training protocol in preparation for Stage-2 pilot deployment across vocational rehabilitation, clinical services and education sites. The project expects to learn how to make the AIDT system adaptable to use within multiple employment contexts and multiple employment outcomes of relevance to stakeholder communities, how to make the AIDT outputs responsive to community service providers’ needs for maximal useability and minimal training demands, and how to finance its long-term sustainment and growth. This project is in response to the Civic Innovation Challenge program — Track B. Bridging the gap between essential resources and services & community needs — and is a collaboration between NSF, the Department of Homeland Security, and the Department of Energy.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.
2022年,大约有70,000名自闭症年轻人将离开高中,面临有关独立生活,社区参与和就业的一系列令人沮丧的统计数据。自闭症利率就业的成年人是他们的首要关注。有效的人特别获得工作机会的主要障碍是缺乏交通工具的独立性。只有三分之一以下的自闭症患者中,只有三分之一的人获得驾驶许可,而该项目的更多人提供了一个以社区为导向的计划过程,以探索如何使用高级基于人工 - 智能的驾驶训练(AIDT)系统的原型,专门为神经脱位设计而设计的,该系统专门为神经化的个人而设计,该系统可以与驾驶能力的驾驶能力相同,可以使人能够在驾驶方面进行驾驶,从而有助于驾驶的驾驶,从而有助于有效的社区,有效的是有效的,有效的是,有效的是,有效的是有效的,有效的是,有效的是,有效的是,有效的是,有效的是,有效的是,有效的是,有效的是驾驶的驾驶。他们的驾驶能力并能够更充分地参与社区生活。该阶段1项目旨在计划进行多种类型的公民合作伙伴和支持提供者(包括基于社区的培训中心和诊所,学校和其他人)的全面飞行员部署,以有效,低成本,可竞争性,可商业化,可商业化,驾驶的驾驶平台,并提供更多的价值建议,以增加独立性和扩展职业生涯的自动选择。 AIDT原型在田纳西州纳什维尔和加利福尼亚州圣地亚哥进行了测试和演示。该计划赠款中的研究将涉及一大批公民实体,参与社区参与的,混合的方法定量和定性数据收集过程,以确定对艾滋病系统内解决的上下文确定词,并在构建培训方案中为2期飞行员部署做准备,以准备跨职业康复,临床服务和教育地点。该项目希望学习如何使AIDT系统适应在多个就业环境中使用,以及与利益相关者社区相关的多种就业成果,如何使AIDT输出响应社区服务提供商的最大使用和最小的培训需求的需求以及如何为其长期的可持续性和增长提供资金。该项目是对公民创新挑战计划的回应 - 跟踪B。弥合基本资源与服务和社区需求之间的差距 - 是NSF,国土安全部和能源部之间的合作。该奖项反映了NSF的法定任务,并通过评估基金会的智力功能和广泛的影响来评估NSF的法定任务,并被认为是珍贵的支持。
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
- DOI:
10.1145/3613904.3642595 - 发表时间:
2024 - 期刊:
- 影响因子:0
- 作者:
A. Ullal;Mahrukh Tauseef;Alexandra Watkins;Lisa A. Juckett;Cathy A. Maxwell;Judith Tate;Lorraine C. Mion;Nilanjan Sarkar - 通讯作者:
Nilanjan Sarkar
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:
$ 5万 - 项目类别:
Standard Grant
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-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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