Liang Jiali, Wilkinson Krista
Department of Communication Sciences and Disorders, The Pennsylvania State University, University Park.
E. K. Shriver Center of the University of Massachusetts Medical School, Worcester.
J Speech Lang Hear Res. 2018 May 17;61(5):1157-1170. doi: 10.1044/2018_JSLHR-L-17-0331.
A striking characteristic of the social communication deficits in individuals with autism is atypical patterns of eye contact during social interactions. We used eye-tracking technology to evaluate how the number of human figures depicted and the presence of sharing activity between the human figures in still photographs influenced visual attention by individuals with autism, typical development, or Down syndrome. We sought to examine visual attention to the contents of visual scene displays, a growing form of augmentative and alternative communication support.
Eye-tracking technology recorded point-of-gaze while participants viewed 32 photographs in which either 2 or 3 human figures were depicted. Sharing activities between these human figures are either present or absent. The sampling rate was 60 Hz; that is, the technology gathered 60 samples of gaze behavior per second, per participant. Gaze behaviors, including latency to fixate and time spent fixating, were quantified.
The overall gaze behaviors were quite similar across groups, regardless of the social content depicted. However, individuals with autism were significantly slower than the other groups in latency to first view the human figures, especially when there were 3 people depicted in the photographs (as compared with 2 people). When participants' own viewing pace was considered, individuals with autism resembled those with Down syndrome.
The current study supports the inclusion of social content with various numbers of human figures and sharing activities between human figures into visual scene displays, regardless of the population served. Study design and reporting practices in eye-tracking literature as it relates to autism and Down syndrome are discussed.
自闭症个体社交沟通缺陷的一个显著特征是社交互动中眼神交流模式异常。我们使用眼动追踪技术来评估静态照片中人物数量以及人物之间共享活动的呈现方式如何影响自闭症个体、发育正常个体或唐氏综合征个体的视觉注意力。我们试图研究对视觉场景展示内容的视觉注意力,这是一种越来越常见的辅助和替代沟通支持形式。
眼动追踪技术在参与者观看32张照片时记录注视点,照片中描绘了2个或3个人物。这些人物之间的共享活动要么存在,要么不存在。采样率为60赫兹;也就是说,该技术每秒为每位参与者收集60个注视行为样本。对注视行为进行量化,包括首次注视的潜伏期和注视持续时间。
无论所描绘的社交内容如何,各组的总体注视行为非常相似。然而,自闭症个体首次查看人物的潜伏期明显比其他组慢,尤其是当照片中有3个人物时(与2个人物相比)。考虑到参与者自身的观看速度,自闭症个体与唐氏综合征个体相似。
当前研究支持将包含不同人物数量以及人物之间共享活动的社交内容纳入视觉场景展示,无论服务对象群体如何。讨论了眼动追踪文献中与自闭症和唐氏综合征相关的研究设计和报告方法。