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Eye movement patterns during object recognition are modulated by perceptual expertise and level of stimulus classification.

机译:物体识别过程中的眼动模式由感知专业知识和刺激分类的水平调节。

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In a previous study, Leek & Johnston (2008, Platform talk, Vision Science Society) showed that fixation patterns during three-dimensional object recognition show a preference for image regions containing local concave curvature minima at surface intersections. In this study we examined the extent to which fixation-based local shape analysis patterns are influenced by the perceptual expertise of the observer and the level of stimulus classification required by the task. The study was based on the paradigm developed by Wong, Palmeri & Gauthier (2009, Psychological Science, 20, 1108-1117.) in which observers are extensively trained to categorize sets of novel objects (Ziggerins) at either a basic or subordinate level of classification. The effects of training were measured by comparing performance between a pre- and post-test sequential shape matching task that required either basic- or subordinate-level judgements. In addition, we also recorded fixation patterns during the pre- and post-tests. Fixation data were analysed using the FROA methodology (Johnston & Leek, 2009, Journal of Eye Movement Research, 1 (3):5, 1-12). The results showed significant effects of training on shape matching RTs in the post-tests. In particular, Ss showed evidence of perceptual expertise at making basic and subordinate-level shape classification judgements. We also found that the acquisition of perceptual expertise resulted in changes in the local spatial distributions of fixational eye movement patterns observed in the pre- and post tests. This finding provides a clear link between fixation-based shape analysis patterns, perceptual expertise, and the level of shape classification being undertaken by the observer.
机译:在先前的研究中,Leek&Johnston(2008年,视觉科学协会,Platform talk)发现,在三维物体识别过程中,注视模式表现出对在表面相交处包含局部凹曲率最小值的图像区域的偏爱。在这项研究中,我们研究了基于固定的局部形状分析模式在多大程度上受观察者的感知专业知识和任务所需的刺激分类水平的影响。该研究基于Wong,Palmeri和Gauthier(2009,Psychological Science,20,1108-1117。)开发的范例,其中对观察者进行了广泛的训练,以将基本的或从属的新对象集(Ziggerins)进行分类。分类。通过比较需要基础或下属判断的测试前和测试后顺序形状匹配任务之间的性能来衡量培训的效果。此外,我们还在测试前和测试后记录了固定模式。使用FROA方法分析注视数据(Johnston&Leek,2009,眼动研究杂志,1(3):5,1-12)。结果显示,在后测中,训练对形状匹配RT的显着影响。特别是,Ss在做出基本和下属级别的形状分类判断时显示出具有感知专长的证据。我们还发现,获得感知专业知识会导致在测试前和测试后观察到的注视眼动模式的局部空间分布发生变化。这一发现提供了基于固定的形状分析模式,感知专业知识和观察者所进行的形状分类级别之间的明确联系。

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