Zheng Zhi, Warren Zachary, Weitlauf Amy, Fu Qiang, Zhao Huan, Swanson Amy, Sarkar Nilanjan
Department of Electrical Engineering and Computer Science, Vanderbilt University, Nashville, TN, USA.
Department of Pediatrics, Vanderbilt University, Nashville, TN, USA.
J Autism Dev Disord. 2016 Nov;46(11):3615-3621. doi: 10.1007/s10803-016-2896-0.
Researchers are increasingly attempting to develop and apply innovative technological platforms for early detection and intervention of autism spectrum disorder (ASD). This pilot study designed and evaluated a novel technologically-mediated intelligent learning environment with relevance to early social orienting skills. The environment was endowed with the capacity to administer social orienting cues and adaptively respond to autonomous real-time measurement of performance (i.e., non-contact gaze measurement). We evaluated the system with both toddlers with ASD (n = 8) as well as typically developing infants (n = 8). Children in both groups were able to ultimately respond accurately to social prompts delivered by the technological system. Results also indicated that the system was capable of attracting and pushing toward correct performance autonomously without user intervention.
研究人员越来越多地尝试开发和应用创新技术平台，用于自闭症谱系障碍（ASD）的早期检测和干预。这项试点研究设计并评估了一个与早期社交定向技能相关的新型技术介导的智能学习环境。该环境具备提供社交定向线索的能力，并能对表现的自主实时测量（即非接触式注视测量）做出自适应反应。我们对8名患有ASD的幼儿和8名发育正常的婴儿进行了系统评估。两组儿童最终都能够准确地对技术系统发出的社交提示做出反应。结果还表明，该系统能够在无需用户干预的情况下自主吸引并推动正确表现。
