Alghamdi Maha, Alhakbani Noura, Al-Nafjan Abeer
Information Technology Department, College of Computer and Information Sciences, King Saud University, Riyadh 11543, Saudi Arabia.
Computer Science Department, College of Computer and Information Sciences, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh 11432, Saudi Arabia.
Behav Sci (Basel). 2023 Jul 16;13(7):598. doi: 10.3390/bs13070598.
Robotics technology has been increasingly used as an educational and intervention tool for children with autism spectrum disorder (ASD). However, there remain research issues and challenges that need to be addressed to fully realize the potential benefits of robot-assisted therapy. This systematic review categorizes and summarizes the literature related to robot educational/training interventions and provides a conceptual framework for collecting and classifying these articles. The challenges identified in this review are classified into four levels: robot-level, algorithm-level, experimental-research-level, and application-level challenges. The review highlights possible future research directions and offers crucial insights for researchers interested in using robots in therapy. The most relevant findings suggest that robot-assisted therapy has the potential to improve social interaction, communication, and emotional regulation skills in children with ASD. Addressing these challenges and seeking new research avenues will be critical to advancing the field of robot-assisted therapy and improving outcomes for children with ASD. This study serves as a roadmap for future research in this important area.
机器人技术已越来越多地被用作自闭症谱系障碍（ASD）儿童的教育和干预工具。然而，要充分实现机器人辅助治疗的潜在益处，仍存在一些研究问题和挑战需要解决。本系统综述对与机器人教育/培训干预相关的文献进行了分类和总结，并提供了一个用于收集和分类这些文章的概念框架。本综述中确定的挑战分为四个层面：机器人层面、算法层面、实验研究层面和应用层面的挑战。该综述突出了未来可能的研究方向，并为有兴趣在治疗中使用机器人的研究人员提供了关键见解。最相关的研究结果表明，机器人辅助治疗有潜力改善ASD儿童的社交互动、沟通和情绪调节技能。应对这些挑战并探索新的研究途径对于推动机器人辅助治疗领域的发展以及改善ASD儿童的治疗效果至关重要。本研究为这一重要领域的未来研究提供了路线图。
