了解自闭症谱系障碍儿童在人机交互中对机器人手势的感知。

International journal of neural systems Pub Date : 2025-07-01 Epub Date: 2025-04-16 DOI:10.1142/S0129065725500261
Gema Benedicto-Rodríguez, Facundo Bosch, Carlos G Juan, Maria Paula Bonomini, Antonio Fernández-Caballero, Eduardo Fernandez-Jover, Jose Manuel Ferrández-Vicente
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引用次数: 0

摘要

社交机器人越来越多地用于治疗环境,特别是作为自闭症谱系障碍(ASD)儿童治疗的补充。正因为如此,本研究的目的是了解自闭症儿童如何感知和解释机器人Pepper和人类讲师所做的手势,这也可能受到口头交流的影响。本研究通过对手势识别正确率的研究,分析了条件(言语和非言语交流)和手势类型(会话和情绪)对手势识别的影响,并考察了使用Empatica E4设备的儿童的生理反应。结果表明,ASD儿童和神经正常儿童(NT)更容易理解语言交流,情感手势比会话手势更容易理解。研究发现,在自闭症谱系障碍和神经正常儿童中,与人类教练相比,Pepper机器人产生的情绪唤醒反应更低。这项研究强调了像Pepper这样的机器人在支持自闭症儿童沟通技巧方面的潜力,尤其是在结构化和可预测的非语言手势方面。然而,研究结果也指出了挑战,例如需要更可靠的机器人通信方法,并强调了根据个人需求改变干预措施的重要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Understanding Robot Gesture Perception in Children with Autism Spectrum Disorder during Human-Robot Interaction.

Social robots are increasingly being used in therapeutic contexts, especially as a complement in the therapy of children with Autism Spectrum Disorder (ASD). Because of this, the aim of this study is to understand how children with ASD perceive and interpret the gestures made by the robot Pepper versus human instructor, which can also be influenced by verbal communication. This study analyzes the impact of both conditions (verbal and nonverbal communication) and types of gestures (conversational and emotional) on gesture recognition through the study of the accuracy rate and examines the physiological responses of children with the Empatica E4 device. The results reveal that verbal communication is more accessible to children with ASD and neurotypicals (NT), with emotional gestures being more interpretable than conversational gestures. The Pepper robot was found to generate lower responses of emotional arousal compared to the human instructor in both ASD and neurotypical children. This study highlights the potential of robots like Pepper to support the communication skills of children with ASD, especially in structured and predictable nonverbal gestures. However, the findings also point to challenges, such as the need for more reliable robotic communication methods, and highlight the importance of changing interventions tailored to individual needs.

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