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Perceptual learning in object recognition: object specificity and size invariance.

机译:物体识别中的感知学习:物体特异性和大小不变性。

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A series of four experiments measured the transfer of perceptual learning in object recognition. Subjects viewed backward-masked, gray-scale images of common objects and practiced an object naming task for multiple days. In Experiment 1, recognition thresholds decreased on average by over 20% over 5 days of training but increased reliably following the transfer to a new set of objects. This suggests that the learning was specific to the practiced objects. Experiment 2 ruled out familiarity with strategies specific to the experimental context, such as stimulus discrimination, as the source of the improvement. Experiments 3 and 4 found that learning transferred across changes in image size. Learning could not be accounted for solely by an improvement in general perceptual abilities, nor by learning of the specific experimental context. Our results indicate that a large amount of learning took place in object-specific mechanisms that are insensitive to image size.
机译:一系列四个实验测量了感知学习在对象识别中的转移。受试者观看了向后遮盖的常见对象的灰度图像,并进行了为期多天的对象命名任务。在实验1中,在经过5天的训练后,识别阈值平均降低了20%以上,但是在转移到一组新对象之后,识别阈值可靠地增加了。这表明学习是特定于实践对象的。实验2排除了对实验环境特有的策略(例如刺激识别)的了解,以此作为改进的源头。实验3和4发现,学习在图像大小变化中转移。学习不能仅仅通过提高总体感知能力或通过学习特定的实验环境来说明。我们的结果表明,大量学习是在对图像大小不敏感的特定于对象的机制中进行的。

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