EDUCATIONAL INTERVENTION FOR STUDENTS WITH ASD: EMOTION PRODUCTION AND RECOGNITION THROUGH THE BEE-BOT ROBOT

Elena Pérez, A. Gilabert, G. L. Lledó, Alejandro Lorenzo, A. Lledó
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引用次数: 2

Abstract

In last two decades, the worldwide number of cases of Autism Spectrum Disorders (ASD) diagnosed have increased drastically. ASD is a developmental disorder characterized by impairments in communication and social interactions and repetitive behaviour. These impairments can be translated into difficulties of attention and executive learning, general cognition or oral language, academic skills and social skills. Specifically, social skills include social imitation, social interaction rules, emotion production and recognition. All of this makes that they perceive reality in a different way and, therefore, inclusion into society for students with ASD is complicated by these difficulties. The teaching of social skills for these students continues to be a challenge. Nevertheless, during the last decade irruption of Information and Communication Technologies (ITC) has provided many new options for the educative intervention of people with Autism Spectrum Disorders (ASD). Three main categories involve ITC-based interventions which are: iPods and iPads Apps, serious games and robots. In this way, among these types of ICT, a growing intervention method based on Social Assistance Robots (SAR) is being developed. The main characteristics of SAR include that can express and/or perceive emotions, can establish verbal and non-verbal communications and they can learn social skills. In this sense, one of the biggest advantages is based on their capacity to programme to respond to different social situations. Robotic assisted therapy not only perfectly aligns with the methodological principles that should guide the teaching-learning process of these students (individualized intervention, sequence of activities, active experiences and predictive environments), but also with the educational needs of these students. This rapid advance in robotics, its good results, the complexity of the educational need and the increase in cases of ASD, make it necessary to include this type of intervention in educational contexts. Many recent researches have shown positive outcomes of robots as social mediators to improve social and communication skills. In this way, robotics is constituted as a new path of educational intervention. Nevertheless, the possibility of using robots in educational contexts is limited due to its high costs and the lack of availability that is normally limited to the clinical and private environment. To overcome these aspects, this study uses the robot Bee-Bot which unites its low cost, its ease and its versatility of use. The main aim of this research has been to study how the use of the Bee-Bot robot can facilitate emotion recognition and production in ASD students. Specifically, this research has focused in one emotion: happiness. By conducting an exploratory study involving two children whose age is 6 years old, results provided some indicators that children with ASD have a great affinity with robots. Moreover, the findings of this study contribute to the literature on the impact of robots on the learning of social skills
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对自闭症学生的教育干预:蜜蜂机器人的情感产生与认知
在过去的二十年中,世界范围内诊断出的自闭症谱系障碍(ASD)病例数量急剧增加。ASD是一种发育障碍,其特征是沟通和社会互动障碍以及重复行为。这些障碍可以转化为注意力和执行学习、一般认知或口语、学术技能和社交技能方面的困难。具体来说,社会技能包括社会模仿、社会互动规则、情感产生和识别。所有这些都使他们以不同的方式感知现实,因此,自闭症学生融入社会的困难使其变得复杂。教授这些学生社交技巧仍然是一个挑战。然而,在过去的十年中,信息和通信技术(ITC)的爆发为自闭症谱系障碍(ASD)患者的教育干预提供了许多新的选择。主要有三个类别涉及基于信息技术的干预:ipod和ipad应用程序、严肃游戏和机器人。因此,在这些类型的信息通信技术中,基于社会援助机器人(SAR)的干预方法正在发展。SAR的主要特征包括能够表达和/或感知情绪,能够建立语言和非语言交流,能够学习社交技能。从这个意义上说,最大的优势之一是基于他们对不同社会情况作出反应的能力。机器人辅助治疗不仅完全符合指导这些学生的教与学过程的方法论原则(个性化干预、活动顺序、积极体验和预测环境),而且符合这些学生的教育需求。机器人技术的快速发展,其良好的结果,教育需求的复杂性和ASD病例的增加,使得有必要在教育环境中包括这种类型的干预。最近的许多研究表明,机器人作为社交媒介在提高社交和沟通技能方面取得了积极的成果。这样,机器人就构成了一种新的教育干预途径。然而,在教育环境中使用机器人的可能性是有限的,因为它的高成本和缺乏可用性,通常仅限于临床和私人环境。为了克服这些问题,本研究使用了成本低、使用方便、用途广泛的机器人Bee-Bot。本研究的主要目的是研究如何使用Bee-Bot机器人促进ASD学生的情感识别和产生。具体来说,这项研究集中在一种情绪上:幸福。通过对两名6岁儿童的探索性研究,结果提供了一些指标,表明ASD儿童与机器人有很大的亲和力。此外,本研究的发现有助于研究机器人对社交技能学习的影响
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