Exploratory study examining the at-home feasibility of a wearable tool for social-affective learning in children with autism
Exploratory study examining the at-home feasibility of a wearable tool for social-affective learning in children with autism
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DOI：
10.1038/s41746-018-0035-3
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发表时间：
2018-08-02
影响因子：
15.2
通讯作者：
Wall, Dennis P.
中科院分区：
文献类型：
--
作者：
Daniels, Jena;Schwartz, Jessey N.;Wall, Dennis P.
虽然自闭症谱系障碍（ASD）的标准行为干预是治疗社交缺陷的有效方法，但它们因时间密集和过度依赖专家而受到批评。较早的治疗开始年龄是后期成功的有力预测因素，但治疗的等待名单可能长达18个月。为了解决这些问题，我们开发了Superpower Glass，这是一种机器学习辅助软件系统，可在Google Glass和Android智能手机上运行，专为社交互动而设计。这项试点探索性研究探讨了我们的原型工具的自闭症儿童的社会情感学习的潜力。我们将我们的工具与14个家庭一起发送回家，并通过社会反应量表（SRS-2），面部情感识别任务（EGG）和定性父母报告评估从摄入到结论的变化。重复测量的单因素方差分析表明，SRS-2总分平均降低7.14分（F（1，13）= 33.20，p = 0.001）。
Although standard behavioral interventions for autism spectrum disorder (ASD) are effective therapies for social deficits, they face criticism for being time-intensive and overdependent on specialists. Earlier starting age of therapy is a strong predictor of later success, but waitlists for therapies can be 18 months long. To address these complications, we developed Superpower Glass, a machine-learning-assisted software system that runs on Google Glass and an Android smartphone, designed for use during social interactions. This pilot exploratory study examines our prototype tool's potential for social-affective learning for children with autism. We sent our tool home with 14 families and assessed changes from intake to conclusion through the Social Responsiveness Scale (SRS-2), a facial affect recognition task (EGG), and qualitative parent reports. A repeated-measures one-way ANOVA demonstrated a decrease in SRS-2 total scores by an average 7.14 points (F(1,13) = 33.20, p =