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机器人对自闭症谱系障碍儿童的影响:一项荟萃分析。

The Effects of Robots on Children with Autism Spectrum Disorder: A Meta-analysis.

作者信息

Wang Weihao, Xiao Jian, Diao Long

机构信息

Faculty of Education, East China Normal University, Shanghai, 200062, China.

School of Politics and Public Administration, Guangxi Normal University, Guilin, 541006, China.

出版信息

J Autism Dev Disord. 2025 May 21. doi: 10.1007/s10803-025-06883-z.

Abstract

This study aimed to evaluate the effectiveness of robotic interventions in fostering the development of children with Autism Spectrum Disorder (ASD) and to identify key factors influencing these effects through a meta-analysis. A meta-analysis was conducted on 14 studies published between 2015 and 2024, incorporating 58 independent effect sizes and data from 408 children with ASD. A random-effects model was used to compute overall effect sizes, and moderator analyses were performed to examine factors influencing the impact of robotic interventions. The meta-analysis revealed that robotic interventions had a substantial positive impact on the development of children with ASD, with an overall effect size of d = 0.829 (95% CI = [0.657, 1.000]), indicating a large effect. Significant variability in effect sizes was observed based on the functional role of robots, specific developmental domains assessed, geographical regions, experimental design, and the inclusion of control groups. Notably, the effect size decreased as teacher involvement in interventions diminished. Additionally, meta-regression analysis showed that longer instructional session durations were positively associated with intervention effectiveness. Robotic interventions are effective in supporting the development of children with ASD, particularly when teachers are actively involved and instructional sessions are of sufficient duration. Future research should focus on optimizing intervention protocols and exploring the impact of different robot functionalities and regional contexts.

摘要

本研究旨在通过荟萃分析评估机器人干预对自闭症谱系障碍(ASD)儿童发展的有效性,并确定影响这些效果的关键因素。对2015年至2024年间发表的14项研究进行了荟萃分析,纳入了58个独立效应量和来自408名ASD儿童的数据。采用随机效应模型计算总体效应量,并进行调节分析以检验影响机器人干预效果的因素。荟萃分析表明,机器人干预对ASD儿童的发展有显著的积极影响,总体效应量为d = 0.829(95%置信区间 = [0.657, 1.000]),表明效果较大。基于机器人的功能作用、评估的特定发展领域、地理区域、实验设计以及对照组的纳入情况,观察到效应量存在显著差异。值得注意的是,随着教师对干预的参与度降低,效应量减小。此外,元回归分析表明,较长的教学课时与干预效果呈正相关。机器人干预在支持ASD儿童的发展方面是有效的,特别是当教师积极参与且教学课时足够长时。未来的研究应专注于优化干预方案,并探索不同机器人功能和区域背景的影响。

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