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
• 负责人: Nilanjan Sarkar
• 金额: $ 31.28万
• 依托单位: Vanderbilt University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-08-15 至 2017-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1264462&HistoricalAwards=false
• 关键词: Individualized; Adaptive; Robot; Mediated; Intervention; Individualized; Adaptive; Robot; Mediated; Intervention

PI: Sarkar, Nilanjan and Warren, ZacharyProposal Number: 1264462Project Summary: A novel and transformative robotic intervention technology, called ARIA(Adaptive Robot-mediated Intervention Architecture), with the potential to accelerate social communication skill development for young children with autism spectrum disorders (ASD) is proposed in this research. ARIA will fluidly integrate a humanoid robot, multiple spatially distributed network of cameras, an array of display monitors, as well as a complex but efficient computational face, gaze and gesture detection methodology in order to create a highly flexible and adaptive intelligent environment to potentially advance early joint attention and imitation related skills for young children with ASD. Application of this system will be examined across two user studies with well-defined samples of young children with ASD to provide specific answers and direction to important questions of generalization and potential impact of robotic intervention.Intellectual Merit: The proposed research advances the design and development of intelligent adaptive robotic platforms to offer a potentially transformative intervention application for young children with ASD. The specific technological innovation proposed here has the potential to significantly contribute to new non-invasive and closed-loop human-robot interaction learning paradigms with potential broad extension to individuals with a vast array of neurodevelopmental conditions and limiting sensory vulnerabilities across the lifespan. From the perspective of the science and technology of robotics, the project will contribute towards the design and development of smart environments for learning, intelligent system architecture for adaptive robotics as well as affective computing and control of dynamic human-robot interaction. In particular, it has the potential to significantly contribute towards developing novel efficient applications of computational methods for affective computing, particularly affective computing mediated by non-invasive gaze and attention processing. It will also contribute towards closed loop gesture-based human-robot interaction by developing new methodologies for gesture recognition and adaptive response from the robot. The project will develop a framework and tools to design adaptive environments for enhanced robotic and embodied social interaction that intelligently and fluidly integrates real-time behavioral indices of attentive and gesture information into flexible and controllable response systems. In short, the proposed activity represents a system has the potential to fundamentally advance the engineering knowledge of intelligent human-robotic interaction. This paradigm may also potently impact our understanding of the science of ASD intervention itself. The embedded user studies will test the potential efficacy of robotic intervention on the earliest core symptoms of ASD.Broader Impacts: With the most recent Centers for Disease Control and Prevention (CDC) prevalence estimates for children with ASD at 1 in 88, effective early identification and treatment is often characterized as a public health emergency. The costs of ASD are thought to be enormous across the lifespan, with recent individual incremental lifetime cost projections exceeding $3.2 million and national cost over $35 billion annually. The proposed research explicitly focuses on realizing robotic intervention technologies with potential for improving early ASD related impairments and could have significant beneficial impact on this population. 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 bring research into classroom through several courses. 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. The project offers a strong community connection through formal dissemination to ASD family, clinical, and scientific communities.

PI：Sarkar，Nilanjan和Warren，ZacharyPropopasal编号：1264462Project摘要：一种新颖和变革性的机器人干预技术，称为ARIA（自适应机器人介导的干预架构），有可能加速自闭症儿童疾病的社会沟通技巧（ASD）的社会沟通技巧（ASD）。 ARIA将流体整合人形机器人，多个空间分布的相机网络，一系列显示监视器，以及一个复杂但有效的计算面，凝视和手势检测方法论，以创建一个高度灵活和适应性的智能环境，以便对ASD的年轻儿童进行潜在的早期关注和模仿与ASD儿童相关的早期关注和模仿。该系统的应用将在两项用户研究中进行检查，其中有明确定义的ASD幼儿样本，以提供特定的答案和方向，以解决重要的概括问题和机器人干预的潜在影响。IntlectualFure：拟议的研究推动了智能自适应机器人平台的设计和开发，以提供对年轻儿童ASD的潜在转化干预措施。此处提出的特定技术创新有可能显着促进新的非侵入性和闭环人类机器人相互作用学习范式，并潜在向具有广泛神经发育条件的人进行广泛扩展，并限制了整个生命周期的感官脆弱性。从机器人技术的科学和技术的角度来看，该项目将有助于学习智能环境的设计和开发，用于自适应机器人技术的智能系统体系结构，以及情感计算以及对动态人类机器人互动的控制和控制。特别是，它有可能有助于开发用于情感计算的计算方法的新型有效应用，尤其是由非侵入性目光和注意力处理介导的情感计算。它还将通过开发机器人的手势识别和自适应反应的新方法来促进基于封闭的循环手势的人类机器人相互作用。该项目将开发一个框架和工具，以设计自适应环境，以增强机器人和具体的社交互动，从而智能而流畅地将注意力和手势信息的实时行为指数整合到灵活且可控制的响应系统中。简而言之，拟议的活动代表系统有可能从根本上推进智能人类互动的工程知识。这种范式也可能会有力影响我们对ASD干预本身科学的理解。嵌入式用户研究将测试机器人干预对ASD的最早核心症状的潜在疗效。Boader的影响：最新的疾病控制和预防中心（CDC）患病率估计值对ASD的88名儿童在88中的儿童有效的早期识别和治疗通常被视为公共卫生紧急情况。 ASD的成本被认为在整个寿命中都是巨大的，最近个人的终身成本预测超过320万美元，全国成本超过350亿美元。拟议的研究明确着重于实现机器人干预技术，具有改善早期与ASD相关的损害的潜力，并可能对该人群产生重大的有益影响。这项研究可能会进一步一项技术，该技术只能以典型干预计划的一小部分有效干预的所有核心组成部分，同时增加干预提供商系统地控制和促进针对个人赤字的干预相关技能的能力。教育活动将在拟议的研究中培训和指导本科生和研究生，并通过多个课程将研究带入课堂。外展活动将包括向高中生提供研究机会，尤其是目前在STEM（科学，技术，工程和数学）领域的人数不足的团体中，并在夏季为高中教师提供研究经验。该项目通过向ASD家庭，临床和科学社区进行正式传播提供了牢固的社区联系。