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Visual one-shot learning as an ‘anti-camouflage device’: a novel morphing paradigm

机译:可视化的一次性学习作为反伪装设备:一种新颖的变形范例

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摘要

Once people perceive what is in the hidden figure such as Dallenbach’s cow and Dalmatian, they seldom seem to come back to the previous state when they were ignorant of the answer. This special type of learning process can be accomplished in a short time, with the effect of learning lasting for a long time (visual one-shot learning). Although it is an intriguing cognitive phenomenon, the lack of the control of difficulty of stimuli presented has been a problem in research. Here we propose a novel paradigm to create new hidden figures systematically by using a morphing technique. Through gradual changes from a blurred and binarized two-tone image to a blurred grayscale image of the original photograph including objects in a natural scene, spontaneous one-shot learning can occur at a certain stage of morphing when a sufficient amount of information is restored to the degraded image. A negative correlation between confidence levels and reaction times is observed, giving support to the fluency theory of one-shot learning. The correlation between confidence ratings and correct recognition rates indicates that participants had an accurate introspective ability (metacognition). The learning effect could be tested later by verifying whether or not the target object was recognized quicker in the second exposure. The present method opens a way for a systematic production of “good” hidden figures, which can be used to demystify the nature of visual one-shot learning.
机译:一旦人们意识到了隐藏的数字,例如达伦巴赫的牛和达尔马提亚狗,那么当他们不知道答案时,他们似乎很少会回到以前的状态。这种特殊类型的学习过程可以在很短的时间内完成,而学习的效果则可以持续很长时间(视觉一次性学习)。尽管这是一种有趣的认知现象,但是缺乏对所呈现的刺激难度的控制一直是研究中的问题。在这里,我们提出了一种新颖的范例,可以通过使用变形技术来系统地创建新的隐藏图形。通过将原始照片(包括自然场景中的物体)从模糊和二值化的两色调图像逐渐变为模糊的灰度图像,当将足够数量的信息恢复到一定程度时,可以在变形的某个阶段发生自发的单次学习。降级的图像。观察到置信度水平与反应时间之间存在负相关关系,这为单次学习的流畅理论提供了支持。置信度等级和正确的识别率之间的相关性表明参与者具有准确的内省能力(元认知)。稍后可以通过验证目标对象在第二次曝光中是否被更快地识别来测试学习效果。本方法为系统地生产“好”隐藏人物开辟了一条途径,可以用来揭开视觉一次性学习的本质的神秘面纱。

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