Towards Accurate and Scalable Mental Health Screening Technologies for Young Children
Towards Accurate and Scalable Mental Health Screening Technologies for Young Children
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DOI：
10.1145/3594739.3610763
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发表时间：
2023-10
期刊：
影响因子：
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通讯作者：
Manasa Kalanadhabhatta;Deepak Ganesan;Tauhidur Rahman
中科院分区：
文献类型：
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作者：
Manasa Kalanadhabhatta;Deepak Ganesan;Tauhidur Rahman
精神、情绪和行为障碍在学龄前儿童中非常普遍，并会显著影响他们的社会情绪发展和适应功能。然而，在这个年龄段识别问题行为的迹象是非常具有挑战性的，由于一些结构和现象学的障碍。这项工作利用移动的和可穿戴设备来构建准确、可用和可扩展的评估工具，这些工具可以部署在家庭环境中，以筛查幼儿常见的疾病。它描述了新的筛选算法的发展，利用行为和神经生理信号记录在简短的，自然的任务，并提出了利益相关者的观点对这种筛选工具的可用性和临床效用。
Mental, emotional, and behavioral disorders are highly prevalent in preschool-aged children and can significantly affect their social-emotional development and adaptive functioning. However, identifying signs of problematic behavior at this age is extremely challenging due to several structural and phenomenological barriers. This work leverages mobile and wearable devices to build accurate, usable, and scalable assessment tools that can be deployed in home settings to screen for common disorders in young children. It describes the development of novel screening algorithms that utilize behavioral and neurophysiological signals recorded during brief, naturalistic tasks, and presents stakeholder perspectives toward the usability and clinical utility of such screening tools.