How the forest interacts with the trees: Multiscale shape integration explains global and local processing.

How the forest interacts with the trees: Multiscale shape integration explains global and local processing.
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DOI:
10.1167/jov.20.10.20
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发表时间:
2020-10-01
期刊:
影响因子:
1.8
通讯作者:
Arun SP
Arun SP
中科院分区:
医学4区
文献类型:
--
作者:
Jacob G;Arun SP

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层次刺激被广泛用于研究整体和局部加工。使用这些刺激观察到两个经典现象:全局优势效应(我们更快地识别全局形状)和干扰效应(当全局和局部形状不同时,我们识别形状较慢)。由于这些现象已经在形状分类任务中观察到,因此尚不清楚它们是否反映了分类判断或潜在的形状表征。理解潜在的形状表征也是至关重要的,因为全局和局部处理都受到刺激属性的调制。我们进行了两个实验来研究这些问题。在实验1中,我们表明,这些现象可以观察到在一个相同的不同的任务,参与者显示系统的变化,在整个图像对的响应时间。我们表明,任何一对图像的响应时间可以准确地预测使用两个因素:他们的相异性和他们的独特性相对于其他图像。在实验2中,我们发现,这些现象也可以观察到在视觉搜索任务中,参与者没有作出任何类别的形状判断。在这里,参与者的反应时间也表现出高度系统性的变化,这可以解释为全球和局部尺度上形状比较的线性和。最后,从相同-不同的任务估计的相异性和独特性的因素系统地与视觉搜索过程中观察到的搜索相异。总之,我们的研究结果表明,全球和当地的处理现象是一个系统的形状表示由简单的规则的属性。
Hierarchical stimuli have been widely used to study global and local processing. Two classic phenomena have been observed using these stimuli: the global advantage effect (we identify the global shape faster) and an interference effect (we identify shape slower when the global and local shapes are different). Because these phenomena have been observed during shape categorization tasks, it is unclear whether they reflect the categorical judgment or the underlying shape representation. Understanding the underlying shape representation is also critical because both global and local processing are modulated by stimulus properties. We performed two experiments to investigate these issues. In Experiment 1, we show that these phenomena can be observed in a same-different task, and that participants show systematic variation in response times across image pairs. We show that the response times to any pair of images can be accurately predicted using two factors: their dissimilarity and their distinctiveness relative to other images. In Experiment 2, we show that these phenomena can also be observed in a visual search task where participant did not have to make any categorical shape judgments. Here too, participants showed highly systematic variations in response time that could be explained as a linear sum of shape comparisons across global and local scales. Finally, the dissimilarity and distinctiveness factors estimated from the same-different task were systematically related to the search dissimilarities observed during visual search. In sum, our results show that global and local processing phenomena are properties of a systematic shape representation governed by simple rules.
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