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自闭症儿童的高级视觉搜索。

High-level visual search in children with autism.

机构信息

ELSC Edmond & Lily Safra Center for Brain Research and Silberman Institute for Life Sciences, Hebrew University, Jerusalem, Israel.

出版信息

J Vis. 2022 Aug 1;22(9):6. doi: 10.1167/jov.22.9.6.

Abstract

Visual search has been classified as easy feature search, with rapid target detection and little set size dependence, versus slower difficult search with focused attention, with set size-dependent speed. Reverse hierarchy theory attributes these classes to rapid high cortical-level vision at a glance versus low-level vision with scrutiny, attributing easy search to high-level representations. Accordingly, faces "pop out" of heterogeneous object photographs. Individuals with autism have difficulties recognizing faces, and we now asked if this disability disturbs their search for faces. We compare search times and set size slopes for children with autism spectrum disorders (ASDs) and those with neurotypical development (NT) when searching for faces. Human face targets were found rapidly, with shallow set size slopes. The between-group difference between slopes (18.8 vs. 11.3 ms/item) is significant, suggesting that faces may not "pop out" as easily, but in our view does not warrant classifying ASD face search as categorically different from that of NT children. We also tested search for different target categories, dog and lion faces, and nonface basic categories, cars and houses. The ASD group was generally a bit slower than the NT group, and their slopes were somewhat steeper. Nevertheless, the overall dependencies on target category were similar: human face search fastest, nonface categories slowest, and dog and lion faces in between. We conclude that autism may spare vision at a glance, including face detection, despite its reported effects on face recognition, which may require vision with scrutiny. This dichotomy is consistent with the two perceptual modes suggested by reverse hierarchy theory.

摘要

视觉搜索被分为简单特征搜索和困难搜索。前者具有快速的目标检测和较少的集合大小依赖性,而后者则需要集中注意力,具有较慢的搜索速度和集合大小依赖性。反向层次理论将这些类别归因于快速的高皮层水平视觉“一目了然”,而不是低水平视觉的仔细审查,将简单搜索归因于高水平的表示。因此,人脸会“从”异质的物体照片中“突显”出来。自闭症患者在识别面孔方面存在困难,我们现在询问这种障碍是否会干扰他们寻找面孔。我们比较了自闭症谱系障碍(ASD)儿童和神经典型发育(NT)儿童在寻找面孔时的搜索时间和集合大小斜率。人脸目标被快速找到,集合大小斜率较浅。两组之间斜率的差异(18.8 与 11.3 毫秒/项)是显著的,这表明人脸可能不会“一目了然”,但在我们看来,这不应该将 ASD 的面孔搜索归类为与 NT 儿童完全不同。我们还测试了对不同目标类别的搜索,包括狗脸和狮脸以及非脸基本类别,如汽车和房屋。ASD 组通常比 NT 组慢一些,他们的斜率也稍微陡峭一些。然而,总体上对目标类别的依赖是相似的:人脸搜索最快,非脸类别最慢,狗脸和狮脸则介于两者之间。我们得出的结论是,尽管自闭症可能会影响面部识别,但它可能会保留瞬间的视觉,包括面孔检测,这可能需要仔细的视觉。这种二分法与反向层次理论所提出的两种感知模式一致。

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