Robotic Social Therapy on Children with Autism: Preliminary Evaluation through Multi-parametric Analysis

D. Mazzei, A. Greco, N. Lazzeri, A. Zaraki, A. Lanatà, R. Igliozzi, Alice Mancini, Francesca Stoppa, E. Scilingo, F. Muratori, D. Rossi
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引用次数: 23

Abstract

Autism Spectrum Disorder (ASD) is a neural development disorder characterized by specific patterns of behavioral and social difficulties. Beyond these core symptoms, additional problems such as absence of gender differences identification, interactional distortions of environmental and family responses are often present. Taking into account these emotional and behavioral problems researchers and clinicians are focusing on the design of innovative therapeutic approaches aimed to improve social capabilities of subjects with ASD. Thanks to the technological and scientific progresses of the last years, nowadays it is possible to create human-like robots with social and emotional capabilities. Furthermore it is also possible to analyze physiological signals inferring subjects' psycho-physiological state which can be compared with a behavioral analysis in order to obtain a deeper understanding of subjects reactions to treatments. In this work a preliminary evaluation of an innovative social robot-based treatment for subjects with ASD is described. The treatment consists in a complex stimulation and acquisition platform composed of a social robot, a multi-parametric acquisition system and a therapeutic protocol. During the preliminary tests of the treatment the subject's physiological signals and behavioral parameters have been recorded and used together with the therapists' annotations to infer the subjects' induced reactions. Physiological signals were analyzed and statistically evaluated demonstrating the possibility to correctly discern the two groups (ASD and normally developing subjects) with a classification percentage higher than 92%. Statistical analysis also highlighted the treatment capability to induce different affective states in subjects with ASDs more than in control subjects, demonstrating that the treatment is well designed and tuned on ASDs deficits and behavioral lacks.
孤独症儿童机器人社会治疗:多参数分析的初步评价
自闭症谱系障碍(ASD)是一种以特定的行为模式和社会困难为特征的神经发育障碍。除了这些核心症状之外,还经常出现其他问题,如缺乏性别差异识别、环境和家庭反应的相互作用扭曲。考虑到这些情绪和行为问题,研究人员和临床医生正致力于设计创新的治疗方法,旨在提高自闭症患者的社交能力。由于过去几年的科技进步,现在有可能创造出具有社交和情感能力的类人机器人。此外,还可以分析推断受试者心理生理状态的生理信号,这些信号可以与行为分析进行比较,以便更深入地了解受试者对治疗的反应。在这项工作中,对一种创新的基于社交机器人的ASD治疗方法进行了初步评估。治疗包括一个复杂的刺激和获取平台,该平台由社交机器人、多参数获取系统和治疗方案组成。在治疗的初步测试中,受试者的生理信号和行为参数被记录下来,并与治疗师的注释一起用于推断受试者的诱发反应。对生理信号进行分析和统计评估,表明正确识别ASD和正常发育者两组的可能性,分类率高于92%。统计分析还强调了治疗在asd患者中比在对照组中更能诱导不同的情感状态,这表明治疗是针对asd缺陷和行为缺陷设计和调整的。
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