Department of Computer Science, Stanford University, Stanford, California.
Department of Pediatrics (Systems Medicine), Stanford University, Stanford, California.
JAMA Pediatr. 2019 May 1;173(5):446-454. doi: 10.1001/jamapediatrics.2019.0285.
Autism behavioral therapy is effective but expensive and difficult to access. While mobile technology-based therapy can alleviate wait-lists and scale for increasing demand, few clinical trials exist to support its use for autism spectrum disorder (ASD) care.
To evaluate the efficacy of Superpower Glass, an artificial intelligence-driven wearable behavioral intervention for improving social outcomes of children with ASD.
DESIGN, SETTING, AND PARTICIPANTS: A randomized clinical trial in which participants received the Superpower Glass intervention plus standard of care applied behavioral analysis therapy and control participants received only applied behavioral analysis therapy. Assessments were completed at the Stanford University Medical School, and enrolled participants used the Superpower Glass intervention in their homes. Children aged 6 to 12 years with a formal ASD diagnosis who were currently receiving applied behavioral analysis therapy were included. Families were recruited between June 2016 and December 2017. The first participant was enrolled on November 1, 2016, and the last appointment was completed on April 11, 2018. Data analysis was conducted between April and October 2018.
The Superpower Glass intervention, deployed via Google Glass (worn by the child) and a smartphone app, promotes facial engagement and emotion recognition by detecting facial expressions and providing reinforcing social cues. Families were asked to conduct 20-minute sessions at home 4 times per week for 6 weeks.
Four socialization measures were assessed using an intention-to-treat analysis with a Bonferroni test correction.
Overall, 71 children (63 boys [89%]; mean [SD] age, 8.38 [2.46] years) diagnosed with ASD were enrolled (40 [56.3%] were randomized to treatment, and 31 (43.7%) were randomized to control). Children receiving the intervention showed significant improvements on the Vineland Adaptive Behaviors Scale socialization subscale compared with treatment as usual controls (mean [SD] treatment impact, 4.58 [1.62]; P = .005). Positive mean treatment effects were also found for the other 3 primary measures but not to a significance threshold of P = .0125.
The observed 4.58-point average gain on the Vineland Adaptive Behaviors Scale socialization subscale is comparable with gains observed with standard of care therapy. To our knowledge, this is the first randomized clinical trial to demonstrate efficacy of a wearable digital intervention to improve social behavior of children with ASD. The intervention reinforces facial engagement and emotion recognition, suggesting either or both could be a mechanism of action driving the observed improvement. This study underscores the potential of digital home therapy to augment the standard of care.
ClinicalTrials.gov identifier: NCT03569176.
自闭症行为疗法有效,但昂贵且难以获得。虽然基于移动技术的疗法可以缓解等待名单并扩大需求,但很少有临床试验支持将其用于自闭症谱系障碍(ASD)护理。
评估 Superpower Glass 的疗效,这是一种人工智能驱动的可穿戴行为干预措施,用于改善 ASD 儿童的社交成果。
设计、地点和参与者:一项随机临床试验,参与者接受 Superpower Glass 干预加标准护理应用行为分析疗法,对照组参与者仅接受应用行为分析疗法。评估在斯坦福大学医学院进行,参与者在家中使用 Superpower Glass 干预。纳入年龄在 6 至 12 岁之间、有正式 ASD 诊断、目前正在接受应用行为分析疗法的儿童。家庭于 2016 年 6 月至 2017 年 12 月间招募。第一名参与者于 2016 年 11 月 1 日入组,最后一次预约于 2018 年 4 月 11 日完成。数据分析于 2018 年 4 月至 10 月进行。
Superpower Glass 干预措施通过谷歌眼镜(儿童佩戴)和智能手机应用程序实施,通过检测面部表情和提供强化社交线索来促进面部参与和情绪识别。家庭被要求每周在家进行 4 次、每次 20 分钟的治疗,持续 6 周。
采用意向治疗分析,使用 Bonferroni 检验校正,评估了 4 项社交化测量指标。
共有 71 名儿童(63 名男孩[89%];平均[SD]年龄为 8.38[2.46]岁)被诊断为 ASD(40 名[56.3%]被随机分配至治疗组,31 名[43.7%]被随机分配至对照组)。与常规治疗对照组相比,接受干预的儿童在 Vineland 适应行为量表社交子量表上的得分显著提高(治疗影响的平均[SD]为 4.58[1.62];P=0.005)。其他 3 项主要测量指标也有阳性的平均治疗效果,但未达到 P=0.0125 的显著性阈值。
Vineland 适应行为量表社交子量表上观察到的 4.58 分的平均增益与标准护理疗法观察到的增益相当。据我们所知,这是第一项证明可穿戴数字干预措施可改善 ASD 儿童社交行为的随机临床试验。该干预措施强化了面部参与和情绪识别,这表明两者都可能是驱动观察到的改善的作用机制。这项研究强调了数字家庭疗法在补充标准护理方面的潜力。
ClinicalTrials.gov 标识符:NCT03569176。