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首页> 外文期刊>Journal of vision >Eyes on emergence: Fast detection yet slow recognition of emerging images
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Eyes on emergence: Fast detection yet slow recognition of emerging images

机译：着眼于出现：快速检测但识别缓慢的新兴图像

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Visual object recognition occurs at the intersection of visual perception and visual cognition. It typically occurs very fast and it has therefore been difficult to disentangle its constituent processes. Recognition time can be extended when using images with emergent properties, suggesting they may help examining how visual recognition unfolds over time. Until now, their use has been constrained by limited availability. We used a set of stimuli with emergent propertiesa??akin to the famous Gestalt image of a Dalmatiana??in combination with eye tracking to examine the processes underlying object recognition. To test whether cognitive processes influenced eye movement behavior during recognition, an unprimed and three primed groups were included. Recognition times were relatively long (median a?? 5s for the unprimed group), confirming the object's emergent properties. Surprisingly, within the first 500 ms, the majority of fixations were already aimed at the object. Computational models of saliency could not explain these initial fixations. This suggests that observers relied on image statistics not captured by saliency models. For the primed groups, recognition times were reduced. However, threshold-free cluster enhancement-based analysis of the time courses indicated that viewing behavior did not differ between the groups, neither during the initial viewing nor around the moment of recognition. This implies that eye movements are mainly driven by perceptual processes and not affected by cognition. It further suggests that priming mainly boosts the observer's confidence in the decision reached. We conclude that emerging images can be a useful tool to dissociate the perceptual and cognitive contributions to visual object recognition.
机译：视觉对象识别发生在视觉感知和视觉认知的相交处。它通常发生得非常快，因此很难弄清其组成过程。当使用具有紧急属性的图像时，可以延长识别时间，这表明它们可能有助于检查视觉识别如何随时间变化。到现在为止，它们的使用一直受到可用性的限制。我们使用一组具有突现特性的刺激（类似于著名的Dalmatiana的格式塔图像）并结合了眼动追踪技术来检查物体识别的基础过程。为了测试认知过程是否影响识别过程中的眼球运动行为，包括了一个未启动的组和三个启动组。识别时间相对较长（未上底漆的组的中位时间约为a ?? 5s），证实了该物体的出射特性。出人意料的是，在最初的500毫秒内，大多数注视已经对准了该物体。显着性的计算模型无法解释这些初始方法。这表明观察者依赖于显着性模型未捕获的图像统计信息。对于准备好的组，识别时间减少了。但是，基于无阈值聚类增强的时间过程分析表明，无论是在初始观看期间还是在识别时刻附近，两组之间的观看行为都没有差异。这意味着眼睛的运动主要由感知过程驱动，而不受认知的影响。它进一步表明，启动灌注主要增强了观察者对所做出决定的信心。我们得出的结论是，新兴图像可以成为分离视觉对象识别的感知和认知贡献的有用工具。

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