SCH:INT: SCH: INT: A gamified mobile system for real-time mental health data modeling and personalized autism care across sociocultural settings

神经精神障碍是全世界非传染性疾病导致残疾的最大原因，占全球疾病负担的19%。这些障碍包括自闭症谱系障碍，这是当今增长最快的儿科问题之一，也是许多其他神经精神疾病的高度代表性。随着等待名单的增加，目前神经精神障碍的护理标准受到主观性、交付不一致和机会有限的负面影响。新的信息学解决方案，特别是人工智能(AI)，可以移植到更普遍的移动医疗设备，并且不限于在临床环境中使用，具有巨大的潜力来补充当前的护理标准。通过这项研究项目，将为自闭症开发一种新的数字支持。具体地说，我们将与2-8岁的家庭及其受影响的儿童合作，建立移动设备游戏系统。该系统将使用增强现实和人工智能来适应儿童的需求，并促进主要照顾者和儿童之间的社会交流。这一移动解决方案将把家庭与护理联系起来，促进利益相关者社区的发展，以及能够个性化护理和跟踪进展的人工智能模型的发展。该项目将：(1)通过与受影响的儿童及其家人的迭代共同设计，将人机交互与临床验证的治疗方法相结合；(2)确定至少三种有前景的增强现实游戏模式，以解决包括社会互惠和情感理解在内的核心自闭症特征；(3)降低游戏玩家安全和可信的数据共享的门槛；(4)利用游戏数据构建一系列人工智能模型，用于理解游戏过程中的处理效果，并对处理效果做出动态反应。我们的研究项目将产生一个引人入胜的家庭数字工具，任何拥有智能手机(iOS或Android)的家庭都可以使用。该项目将展示这种移动人工智能解决方案如何作为标准治疗的可扩展补充，并有可能通过增强护理人员的能力来减轻医疗负担。最后，这项研究将生成解决方案、代码、实例和计算机视觉库，这些解决方案、代码、示例和计算机视觉库将使人工智能在社会经济多元化人群中的移动环境中开发出更广泛的平台，并为其他精神健康问题的类似解决方案奠定基础。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

Neuropsychiatric disorders are the single greatest cause of disability due to non-communicable disease worldwide, accounting for as much as 19% of the global burden of disease. These disorders include autism spectrum disorder, which is among the fastest growing pediatric concerns today and highly representative of many other neuropsychiatric conditions. The current standards of care for neuropsychiatric disorders are negatively impacted by subjectivity, inconsistent delivery, and limited access as waiting lists grow. New informatics solutions, in particular artificial intelligence (AI), that can port to more ubiquitous mobile health devices and that are not restricted for use in clinical settings, have great potential to complement the current standards of care. With this research project, a novel digital support for autism will be developed. Specifically, working together with families and their affected children ages 2-8, we will establish a gaming system for mobile devices. This system will use augmented reality and AI to adapt to the child’s needs and foster a social exchange between the primary caregiver and the child. This mobile solution will connect families to care, fostering the development of a community of stakeholders, together with AI models capable of personalizing care and tracking progress.This project will: (1) combine human-computer-interaction with clinically validated treatment approaches through iterative co-design with affected children and their families; (2) identify at least three promising augmented reality game modes that address core autism features including social-reciprocity and emotional understanding; (3) lower barriers to secure and trustworthy data sharing by game players; and (4) construct a series of AI models from game play data that can be used to understand and dynamically react to the treatment effect during game play. Our research project will result in an engaging at-home digital tool accessible to any family with a smartphone (iOS or Android). The project will show how this mobile AI solution can act as a scalable supplement to standard therapy and one that has the potential to reduce the healthcare burden by empowering caregivers. Finally, the research will generate solutions, code, examples, and computer vision libraries that will enable the development of a broader platform for AI in the mobile environment in socioeconomically diverse populations and set the stage for similar solutions for other mental health conditions.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.