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
• 负责人: Nilanjan Sarkar
• 金额: $ 30万
• 依托单位: Vanderbilt University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-08-01 至 2014-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0967170&HistoricalAwards=false
• 关键词: Novel; Adaptive; Transactional; Virtual; Reality

PI: Sarkar N. & Warren, Z.Proposal Number: 0967170 This interdisciplinary project proposes fundamental, transformative technology improvements to assist children with Autism Spectrum Disorder (ASD). The objective is to develop a novel affect and attention sensitive virtual reality -based assistive technology for ASD intervention. Social communication and social information processing are thought to represent core domains of impairment in children with ASD. The proposed research will develop technologies capable of targeting individual deficit by flexibly and adaptively responding to subtle affective and attentive changes in individuals with ASD during social paradigms and create VR-based ASD intervention technology that can present itself as a realistic and powerful intervention platform. The individual, familial, and societal impact associated with ASD is enormous. Therefore, an important direction for research on ASD is the identification and development of technology that can make application of effective intensive treatment more accessible and cost effective. To address this need, this project will combine VR-based technology with affective computing using physiological signals and attention inference through eye gaze measurement to develop a new paradigm for autism intervention that will appreciably transform the ability to understand and tailor interventions to the specific vulnerabilities of children with ASD. The project will develop an assistive technology that will result in an affect and attention sensitive system for detecting, adaptively responding to, and optimizing levels of social interaction for children with ASD during VR interactions. The system is scalable and adaptable to a broad range of intervention strategies, providing flexibility in design and implementation.Intellectual Merit: The proposed research advances the design and authoring of adaptive virtual environments for use with a challenged population of children. It has the potential to significantly contribute new computational methods for affective computing, particularly affective computing mediated by physiologic signal processing. Primarily, the project will develop new framework to design virtual environments for social interaction that intelligently combine both affective and attentive information into adaptive and controllable response systems. The proposed activity also represents a new technology that will fundamentally advance the engineering knowledge of human-computer interactions as well as the understanding of the mechanisms that underlie the presumed core social impairments, and associated interventions, with ASD.Broader Impacts: Emerging research suggests as many as 1 in 150 children are diagnosed with an autism spectrum disorder and ASD related care costs the nation over $35 billion annually. The low-cost and highly deployable technologies developed in this proposal could have significant impact on this population. They may also create a completely new technological intervention methodology for children with ASD. This research may further a technology that can enable all core components of effective intervention at only a fraction of the cost of typical intervention programs, while at the same time increasing the ability of the intervention provider to systematically control and promote intervention related skills targeting individual deficit. The educational activities will train and mentor undergraduate and graduate students in the proposed research, and develop one module in a one-credit seminar course targeted to engineering freshman class. The outreach activities will include offering research opportunities to high school students, especially among groups currently underrepresented in STEM (science, technology, engineering, and mathematics) fields, and providing high school teachers with research experience during summer in the design and research evaluation of advanced technologies for autism intervention. Outreach objectives will also involve usability testing to elicit feedback from behavioral professionals and children with ASD. This project represents an opportunity to leverage a unique collaboration that brings cutting-edge engineering, psychology, and clinical knowledge to the development of a pragmatic and efficacious assistive intervention technology addressing core symptoms of ASD.

PI：Sarkar N. &Warren，Z.提案编号：0967170 这个跨学科的项目提出了基本的，变革性的技术改进，以帮助自闭症谱系障碍（ASD）的儿童。目的是开发一种新的情感和注意力敏感的基于虚拟现实的辅助技术，用于ASD干预。社会沟通和社会信息处理被认为是ASD儿童受损的核心领域。拟议的研究将开发能够通过灵活和自适应地响应ASD个体在社会范式中的微妙情感和注意力变化来针对个体缺陷的技术，并创建基于VR的ASD干预技术，该技术可以呈现为现实和强大的干预平台。 与ASD相关的个人，家庭和社会影响是巨大的。因此，ASD研究的一个重要方向是识别和开发能够使有效强化治疗的应用更容易获得且更具成本效益的技术。为了满足这一需求，该项目将结合联合收割机基于VR的技术与情感计算使用生理信号和注意力推理通过眼睛凝视测量开发一个新的自闭症干预范例，将明显改变理解和定制干预自闭症儿童的特定脆弱性的能力。该项目将开发一种辅助技术，该技术将产生一种影响和注意力敏感系统，用于在VR互动期间检测、自适应响应和优化ASD儿童的社交互动水平。该系统是可扩展的，适应范围广泛的干预策略，提供灵活的设计和implementation.Intellectual Merit：拟议的研究推进自适应虚拟环境的设计和创作与儿童人口的挑战。它有可能显着贡献新的计算方法的情感计算，特别是情感计算介导的生理信号处理。首先，该项目将开发新的框架来设计用于社交互动的虚拟环境，智能地将情感和注意力信息联合收割机结合到自适应和可控的响应系统中。拟议的活动也代表了一项新技术，将从根本上推进人机交互的工程知识，以及对假定的核心社会障碍和相关干预措施的机制的理解，与ASD。更广泛的影响：新的研究表明，150名儿童中就有1名被诊断患有自闭症谱系障碍，自闭症谱系障碍相关的护理费用超过100万美元。每年350亿。该提案中开发的低成本和高度可部署的技术可能对这一群体产生重大影响。他们还可能为ASD儿童创造一种全新的技术干预方法。这项研究可能会进一步的技术，可以使所有的核心组成部分，有效的干预，只有一小部分的成本典型的干预计划，而在同一时间增加的干预提供者的能力，系统地控制和促进干预相关的技能，针对个人的赤字。教育活动将在拟议的研究中培训和指导本科生和研究生，并在针对工程新生的单学分研讨会课程中开发一个模块。外展活动将包括为高中生提供研究机会，特别是目前在STEM（科学，技术，工程和数学）领域代表性不足的群体，并在夏季为高中教师提供自闭症干预先进技术的设计和研究评估方面的研究经验。推广目标还将涉及可用性测试，以从行为专业人员和自闭症儿童那里获得反馈。该项目代表了一个利用独特合作的机会，该合作将尖端的工程学，心理学和临床知识引入到解决ASD核心症状的实用有效的辅助干预技术的开发中。