Banire Bilikis, Khowaja Kamran, Mansoor Bilal, Qaraqe Marwa, Al Thani Dena
Department of Information, and Computing Technology, Hamad Bin Khalifa University, Doha, Qatar.
Mechanical Engineering Program, Texas A&M University at Doha, Doha, Qatar.
Adv Neurobiol. 2020;24:679-693. doi: 10.1007/978-3-030-30402-7_26.
Food selectivity by children with autism spectrum disorder (ASD) is relatively high as compared to typical children and consequently puts them at risk of nutritional inadequacies. Thus, there is a need to educate children with ASD on food types and their benefits in a simple and interesting manner that will encourage food acceptance and enable a move toward healthy living. The use of technological intervention has proven to be an effective tool for educating children with ASD in maintaining attention and mastering new skills as compared to traditional methods. Some of the popularly used technologies are computer-based intervention and robotics which do not support ecological validity (i.e., mimicking natural scenario). Consideration of natural factors is essential for better learning outcomes and generalized skills which can easily be incorporated into reality-based technologies such as virtual reality, augmented reality, and mixed reality. These technologies provide evidence-based support for ecological validation of intervention and sustaining the attention of children with ASD. The main objective of this study is to review existing reality-based technology intervention for children with ASD and investigate the following: (1) commonly used reality-based technology, (2) types of intervention targeted with reality-based technology, and (3) what subjects' inclusion types are used in the reality-based interventions. These objective statements have guided our recommendation of reality-based technology that can support ecological validity of food intake intervention.
与正常儿童相比,自闭症谱系障碍(ASD)儿童的食物选择性相对较高,因此他们面临营养不足的风险。因此,有必要以简单有趣的方式对ASD儿童进行食物种类及其益处的教育,这将鼓励他们接受食物,并朝着健康生活迈进。与传统方法相比,技术干预已被证明是一种有效的工具,可用于教育ASD儿童保持注意力和掌握新技能。一些常用的技术是基于计算机的干预和机器人技术,它们不支持生态效度(即模仿自然场景)。考虑自然因素对于获得更好的学习成果和泛化技能至关重要,这些技能可以轻松融入虚拟现实、增强现实和混合现实等基于现实的技术中。这些技术为干预的生态效度和维持ASD儿童的注意力提供了循证支持。本研究的主要目的是回顾现有的针对ASD儿童的基于现实的技术干预,并调查以下内容:(1)常用的基于现实的技术,(2)基于现实的技术所针对的干预类型,以及(3)基于现实的干预中使用了哪些受试者纳入类型。这些目标陈述指导了我们对能够支持食物摄入干预生态效度的基于现实的技术的推荐。