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Development of an ABA Autism Intervention Delivered by a Humanoid Robot

机译:人形机器人提供的ABA自闭症干预技术的开发

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Applied Behavioral Analysis (ABA) techniques are widely used and accepted by the Autism research community as an effective Autism therapy method. ABA techniques have been recently introduced to use with Socially Assistive Robots (SAR) to deliver Autism therapy. Nonetheless, little research has been published to investigate the use of robot-based ABA in teaching socio-emotional skills for children diagnosed with Autism Spectrum Disorder (ASD). This paper presents the development of an ABA-based autonomous therapy system delivered by a humanoid robot, the Zeno R-50. Specifically, an intervention methodology with a prompt and an ABA reinforcement protocol to target skills associated with facial and situational emotion recognition and understanding are presented. Eleven children diagnosed with Autism were recruited to participate in the pre-pilot study screening. Initial results are investigated to discover the children's preferred reinforcers and also to find ways of improving the therapy system before proceeding through full study groups. Results demonstrate the successful detection of rein-forcers and show there is correlation between reinforcer preference and age. Results on two children who have completed interventions are presented and improvements to the protocol axe discussed to contribute to the understanding of SAR in teaching socio-emotional skills to children diagnosed with ASD.
机译:应用行为分析(ABA)技术被广泛使用,并被自闭症研究团体接受为一种有效的自闭症治疗方法。最近引入了ABA技术,可与社交辅助机器人(SAR)一起使用以进行自闭症治疗。然而,关于基于机器人的ABA在诊断出患有自闭症谱系障碍(ASD)的儿童的社会情感技能教学中的研究很少发表。本文介绍了由人形机器人Zeno R-50提供的基于ABA的自主治疗系统的开发。具体而言,提出了一种具有提示和ABA强化协议的干预方法,以针对与面部和情景情绪识别和理解相关的技能。招募了11名被诊断患有自闭症的儿童参加试点前的研究筛查。在通过整个研究小组进行研究之前,对初步结果进行了调查,以发现儿童的首选补强药,并找到改善治疗系统的方法。结果证明了补强剂的成功检测,并显示了补强剂的偏好与年龄之间的相关性。介绍了两名已完成干预措施的儿童的结果,并讨论了对方案规程的改进,以帮助在诊断为ASD的儿童中教授社会情感技能方面对SAR的理解。

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