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从统计物理学角度理解自闭症谱系障碍中的社会视觉注意力

A Statistical Physics Perspective to Understand Social Visual Attention in Autism Spectrum Disorder.

作者信息

Liberati Alessio, Fadda Roberta, Doneddu Giuseppe, Congiu Sara, Javarone Marco A, Striano Tricia, Chessa Alessandro

机构信息

Department of Physics, University of Cagliari, Complesso Universitario di Monserrato, Italy.

Department of Pedagogy, Psychology, Philosophy, University of Cagliari, Italy.

出版信息

Perception. 2017 Aug;46(8):889-913. doi: 10.1177/0301006616685976. Epub 2017 Jan 6.

Abstract

This study investigated social visual attention in children with Autism Spectrum Disorder (ASD) and with typical development (TD) in the light of Brockmann and Geisel's model of visual attention. The probability distribution of gaze movements and clustering of gaze points, registered with eye-tracking technology, was studied during a free visual exploration of a gaze stimulus. A data-driven analysis of the distribution of eye movements was chosen to overcome any possible methodological problems related to the subjective expectations of the experimenters about the informative contents of the image in addition to a computational model to simulate group differences. Analysis of the eye-tracking data indicated that the scanpaths of children with TD and ASD were characterized by eye movements geometrically equivalent to Lévy flights. Children with ASD showed a higher frequency of long saccadic amplitudes compared with controls. A clustering analysis revealed a greater dispersion of eye movements for these children. Modeling of the results indicated higher values of the model parameter modulating the dispersion of eye movements for children with ASD. Together, the experimental results and the model point to a greater dispersion of gaze points in ASD.

摘要

本研究根据布罗克曼和盖泽尔的视觉注意模型,对自闭症谱系障碍(ASD)儿童和发育正常(TD)儿童的社会视觉注意进行了调查。在对注视刺激进行自由视觉探索期间,研究了通过眼动追踪技术记录的注视运动的概率分布和注视点的聚类情况。除了使用计算模型来模拟组间差异外,还选择了一种基于数据驱动的眼动分布分析方法,以克服与实验者对图像信息内容的主观期望相关的任何可能的方法学问题。眼动追踪数据分析表明,TD儿童和ASD儿童的扫描路径的特征是其眼动在几何上等同于列维飞行。与对照组相比,ASD儿童长扫视幅度的频率更高。聚类分析显示,这些儿童的眼动分散程度更大。结果建模表明,调节ASD儿童眼动分散程度的模型参数值更高。综合来看,实验结果和模型都表明ASD儿童的注视点分散程度更大。

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