I-Corps: Digital therapeutics software solutions for autistic children

I-Corps：针对自闭症儿童的数字治疗软件解决方案

• 批准号: 2335647
• 负责人: Charles Gilbert
• 金额: $ 5万
• 依托单位: Rockefeller University
• 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: 2023-08-01 至 2024-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2335647&HistoricalAwards=false
• 关键词: Corps; Digital; therapeutics; software; solutions

The broader impact/commercial potential of this I-Corps project is the development of training software for autistic children. Currently, almost 3% of children are diagnosed with autism and only one-third receive the mental health services they need. All autistic children have difficulties transitioning between different activities and environments, creating stressful situations for them and their caregivers. The proposed technology creates customizable software solutions, including academic materials and curriculum aids, for teachers, caregivers, and parents. Current software solutions do not meet their needs because they are “one size fits all” and do not allow customization. The proposed solution combines children’s love for technology with parents’ insights about their interests to provide them with the personalized therapy and education they need. User experiences to train visual perception and transitions based on each child’s interests and needs will employ amusement as the context for learning. This will engage children’s attention and motivation, and may allow users to transfer learning from a software environment to their everyday tasks, supporting therapists, teachers, and parents.This I-Corps project is based on the development of software interventions for autistic children. The proposed technology is designed to provide vision therapy to train visual acuity, and will include visual schedules to help autistic children and teenagers communicate and gain independence in their daily lives. The digital image processing methodology and software was built upon previous experience in brain circuits, visual perception and learning in humans, and mouse models of autism. Users identify target figures immersed in photographic naturalistic backgrounds depicting city and nature landscapes. The goal is to help autistic children train their visual acuity in identifying letters, words, numbers, shapes, and objects. It is particularly challenging for autistic children to shift between tasks and behaviors. Results using this approach show that with practice, individuals can learn to identify target figures more efficiently and to allocate attention to elements that are relevant for the task at hand. The proposed software requires identifying different figures in different visual scenes to help users train cognitive flexibility and transitions, alternating between different targets of attention. With practice, the proposed software may help train attentional skills and transitions between tasks and behaviors, and will include academic materials and curriculum aids as educational support.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.

这个I-Corps项目更广泛的影响/商业潜力是为自闭症儿童开发培训软件。目前，近3%的儿童被诊断患有自闭症，只有三分之一的儿童得到他们需要的心理健康服务。所有自闭症儿童都难以在不同的活动和环境之间过渡，这给他们和他们的照顾者带来了压力。 拟议的技术为教师、护理人员和家长创建了可定制的软件解决方案，包括学术材料和课程辅助工具。 目前的软件解决方案不能满足他们的需要，因为它们是“一刀切”的，不允许定制。提出的解决方案将儿童对技术的热爱与父母对他们兴趣的见解相结合，为他们提供所需的个性化治疗和教育。 根据每个孩子的兴趣和需求训练视觉感知和转换的用户体验将采用娱乐作为学习的背景。 这将吸引儿童的注意力和动机，并可能允许用户将学习从软件环境转移到他们的日常任务中，支持治疗师，教师和父母。 拟议的技术旨在提供视力治疗以训练视力，并将包括视觉时间表，以帮助自闭症儿童和青少年在日常生活中沟通和获得独立。 数字图像处理方法和软件是建立在以前的经验，在大脑电路，视觉感知和学习的人类，和小鼠模型的自闭症。 用户识别沉浸在描绘城市和自然景观的摄影自然主义背景中的目标人物。 目标是帮助自闭症儿童训练他们识别字母、单词、数字、形状和物体的视力。对于自闭症儿童来说，在任务和行为之间转换尤其具有挑战性。使用这种方法的结果表明，通过实践，个人可以学会更有效地识别目标人物，并将注意力分配到与手头任务相关的元素上。 拟议的软件需要在不同的视觉场景中识别不同的人物，以帮助用户训练认知灵活性和过渡，在不同的注意目标之间交替。通过实践，拟议的软件可能有助于训练注意力技能和任务与行为之间的转换，并将包括学术材料和课程辅助作为教育支持。该奖项反映了NSF的法定使命，并已被认为是值得通过使用基金会的智力价值和更广泛的影响审查标准进行评估的支持。