US Ignite: Focus Area 1: A Networked Virtual Reality Platform for Immersive Online Social Learning of Youth with Autism Spectrum Disorders

US Ignite:重点领域 1:为患有自闭症谱系障碍的青少年提供沉浸式在线社交学习的网络虚拟现实平台

基本信息

  • 批准号:
    1647213
  • 负责人:
  • 金额:
    $ 59.92万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2017
  • 资助国家:
    美国
  • 起止时间:
    2017-02-01 至 2021-01-31
  • 项目状态:
    已结题

项目摘要

This project explores a high-speed network-enabled, immersive, and smart virtual reality application, called vSocial, to connect children with autism spectrum disorder (ASD) from different geographical regions for online social training. The 2015 National Health Interview Survey (NHIS) suggests that 1 in 45 children (2%) have been diagnosed with ASD. Children with ASD are characterized by impairments in social skills, which can result in low quality of life, bringing emotional, financial, and physical stress and burden on the children, families, schools, and society. This project builds on project team's work during the past five years within which we have successfully developed and evaluated a social competence intervention (SCI) curriculum and a computer-based virtual learning application called iSocial. The iSocial application makes the face-to-face SCI curriculum available online to youth with ASD and public schools, who would otherwise, due to geographical and personal limitations, have no access to such programs provided by experts.vSocial will use an immersive Virtual Reality (VR) medium for application delivery over high-speed networking infrastructures at schools as well as cloud technologies available within Global Environment for Network Innovation (GENI) Racks. Such a transformation will allow us to study how end-to-end network performance tuning needs to be orchestrated across multi-provider paths and how to troubleshoot last-mile network bottlenecks (e.g., at schools or homes) for field-deployment of demanding gigabit applications such as vSocial. Specifically, (a) it will bridge the knowledge generalization gap between online social training and real-world social skills for students with ASD through use of a networked immersive VR system. (b) It will provide smart sensing capabilities for effective monitoring and tracking of the cognitive-affective states of student learners at remote ends for early individualized pedagogical interventions and outcome assessment. Through vSocial application prototype experimentation in the field (at actual schools with teachers and students involvement), this project will investigate the use of cognitive-affective sensing for online social training in education of students with ASD, use of VR glasses, and Unity3D VR content creation platform to assess immersive learning experience.
该项目探索了一种高速网络支持的沉浸式智能虚拟现实应用程序,称为vSocial,用于连接来自不同地理区域的自闭症谱系障碍(ASD)儿童进行在线社交培训。2015年全国健康访谈调查(NHIS)显示,每45名儿童中就有1名(2%)被诊断患有自闭症谱系障碍。自闭症儿童的特点是社交技能受损,这可能导致生活质量低下,给儿童、家庭、学校和社会带来情感、经济和身体上的压力和负担。这个项目建立在项目团队过去五年的工作基础上,在这五年中,我们成功地开发和评估了一个社会能力干预(SCI)课程和一个基于计算机的虚拟学习应用程序,称为社会。social应用程序将面对面的SCI课程在线提供给患有ASD的青少年和公立学校,否则,由于地理和个人限制,他们无法获得专家提供的此类课程。vSocial将使用沉浸式虚拟现实(VR)媒介,通过学校的高速网络基础设施以及全球网络创新环境(GENI)机架中可用的云技术交付应用程序。这样的转变将使我们能够研究端到端网络性能调优需要如何跨多提供商路径进行协调,以及如何解决最后一英里网络瓶颈(例如,在学校或家庭),以便现场部署要求苛刻的千兆应用程序,如vSocial。具体来说,(a)它将通过使用网络沉浸式虚拟现实系统,弥合自闭症学生在线社交培训与现实社会技能之间的知识泛化差距。(b)它将提供智能感应能力,以有效监测和跟踪远程学生学习者的认知情感状态,以便进行早期个性化教学干预和结果评估。本项目将通过vSocial现场应用原型实验(在教师和学生参与的实际学校),研究在ASD学生教育中使用认知情感感知进行在线社会培训,使用VR眼镜,以及Unity3D VR内容创作平台来评估沉浸式学习体验。

项目成果

期刊论文数量(8)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Attack Trees for Security and Privacy in Social Virtual Reality Learning Environments
Cost-Performance Trade-Offs in Fog Computing for IoT Data Processing of Social Virtual Reality
社交虚拟现实物联网数据处理雾计算的成本与性能权衡
vSocial: a cloud-based system for social virtual reality learning environment applications in special education
  • DOI:
    10.1007/s11042-020-09051-w
  • 发表时间:
    2020-06
  • 期刊:
  • 影响因子:
    3.6
  • 作者:
    Sai Shreya Nuguri;P. Calyam;Roland Oruche;Aniket Gulhane;Samaikya Valluripally;Janine P. Stichter;Zhihai He
  • 通讯作者:
    Sai Shreya Nuguri;P. Calyam;Roland Oruche;Aniket Gulhane;Samaikya Valluripally;Janine P. Stichter;Zhihai He
Security, Privacy and Safety Risk Assessment for Virtual Reality Learning Environment Applications
  • DOI:
    10.1109/ccnc.2019.8651847
  • 发表时间:
    2018-11
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Aniket Gulhane;Akhil Vyas;Reshmi Mitra;Roland Oruche;Gabriela Hoefer;Samaikya Valluripally;P. Calyam;K. A. Hoque
  • 通讯作者:
    Aniket Gulhane;Akhil Vyas;Reshmi Mitra;Roland Oruche;Gabriela Hoefer;Samaikya Valluripally;P. Calyam;K. A. Hoque
Towards a social virtual reality learning environment in high fidelity
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Zhihai He其他文献

Functional Assessment Technologies
功能评估技术
  • DOI:
  • 发表时间:
    2008
  • 期刊:
  • 影响因子:
    0
  • 作者:
    M. Rantz;M. Skubic;K. Burks;Jie Yu;G. Demiris;B. Hensel;G. Alexander;Zhihai He;H. Tyrer;M. Hamilton;Jia Lee;Marybeth Brown
  • 通讯作者:
    Marybeth Brown
Robust Generalized Low-Rank Decomposition of Multimatrices for Image Recovery
用于图像恢复的鲁棒广义低阶多矩阵分解
  • DOI:
    10.1109/tmm.2016.2638624
  • 发表时间:
    2017-05
  • 期刊:
  • 影响因子:
    7.3
  • 作者:
    Hengyou Wang;Yigang Cen;Zhihai He;Ruizhen Zhao;Yi Cen;Fengzhen Zhang
  • 通讯作者:
    Fengzhen Zhang
Hydration and microstructure of concrete containing high volume lithium slag
高掺量锂渣混凝土的水化及微观结构
  • DOI:
    10.1166/mex.2020.1644
  • 发表时间:
    2020-03
  • 期刊:
  • 影响因子:
    0.7
  • 作者:
    Zhihai He;Jingyu Chang;Shigui Du;Chaofeng Liang;Baoju Liu
  • 通讯作者:
    Baoju Liu
Multi-scale embedded descriptor for shape classification
用于形状分类的多尺度嵌入描述符
  • DOI:
    10.1016/j.jvcir.2014.08.005
  • 发表时间:
    2014
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Chen Huang;T. Han;Zhihai He
  • 通讯作者:
    Zhihai He
Semi-supervised learning for robust car windshield tracking and monitoring in live traffic videos
实时交通视频中强大的汽车挡风玻璃跟踪和监控的半监督学习

Zhihai He的其他文献

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{{ truncateString('Zhihai He', 18)}}的其他基金

CPS: Synergy: Collaborative Research: Cyber-Physical Sensing, Modeling, and Control with Augmented Reality for Smart Manufacturing Workforce Training and Operations Management
CPS:协同:协作研究:用于智能制造劳动力培训和运营管理的网络物理传感、建模和增强现实控制
  • 批准号:
    1646065
  • 财政年份:
    2017
  • 资助金额:
    $ 59.92万
  • 项目类别:
    Standard Grant
CPS: Synergy: Collaborative Research: Cyber-Physical Sensing, Modeling, and Control for Large-Scale Wastewater Reuse and Algal Biomass Production
CPS:协同:协作研究:大规模废水回用和藻类生物质生产的网络物理传感、建模和控制
  • 批准号:
    1544794
  • 财政年份:
    2015
  • 资助金额:
    $ 59.92万
  • 项目类别:
    Standard Grant
CyberSEES: Type 2: Collaborative Research: Cyber-infrastructure and Technologies to Support Large-Scale Wildlife Monitoring and Research for Wildlife and Ecology Sustainability
Cyber​​SEES:类型 2:协作研究:支持大规模野生动物监测以及野生动物和生态可持续性研究的网络基础设施和技术
  • 批准号:
    1539389
  • 财政年份:
    2015
  • 资助金额:
    $ 59.92万
  • 项目类别:
    Standard Grant
COLLABORATIVE RESEARCH: ABI Innovation: Computational and Informatics Tools for Supporting Collaborative Wildlife Monitoring and Research
协作研究:ABI 创新:支持协作野生动物监测和研究的计算和​​信息学工具
  • 批准号:
    1062354
  • 财政年份:
    2011
  • 资助金额:
    $ 59.92万
  • 项目类别:
    Continuing Grant
Collaborative Research: Processes Determining the Abundance of Terrestrial Wildlife Communities Across Large Scales
合作研究:大规模确定陆地野生动物群落丰度的过程
  • 批准号:
    1065749
  • 财政年份:
    2011
  • 资助金额:
    $ 59.92万
  • 项目类别:
    Standard Grant
SIRG: COLLABORATIVE RESEARCH: DeerNet-Wireless Sensor Networking for Wildlife Behavior Analysis and Interaction Modeling
SIRG:协作研究:用于野生动物行为分析和交互建模的 DeerNet-无线传感器网络
  • 批准号:
    0529082
  • 财政年份:
    2005
  • 资助金额:
    $ 59.92万
  • 项目类别:
    Continuing Grant

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