Dynamic visual noise (DVN) selectively impairs memory for some types of stimuli (e.g., colors, textures, concrete words), but not for others (e.g., matrices, Chinese characters, simple shapes). According to the image definition hypothesis, the key difference is whether the stimulus leads to images that are ill-defined or well-defined. The former will be affected because the addition of noise quickly reduces the usefulness of the image in supplying information about the item's identity. The image definition hypothesis predicts that fonts should lead to ill-defined images and therefore should be affected by DVN, and although three previous studies appear to show this result, they lack a key control condition and report only proportion correct. Two experiments reassessed whether DVN affects memory for fonts, but, unlike the previous studies, both included a static visual noise condition and both were analyzed using signal detection measures. There was no evidence that DVN affected memory for font information, thus disconfirming a prediction of the original version of image definition hypothesis. We suggest a revised version that focuses on redintegration can explain the results.

中文翻译：

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动态视觉噪声不会影响字体的内存。

动态视觉噪声（DVN）有选择地损害某些类型的刺激（例如颜色，纹理，具体单词）的记忆，而不会损害其他类型的刺激（例如矩阵，汉字，简单形状）。根据图像定义假说，关键区别在于刺激是否导致图像定义不清晰或定义明确。前者将受到影响，因为添加噪声会迅速降低图像在提供有关商品标识信息方面的有用性。图像定义假设预测字体应导致图像不清晰，因此应受到DVN的影响，尽管先前的三项研究似乎显示了这一结果，但它们缺乏关键的控制条件，仅报告了正确的比例。两项实验重新评估了DVN是否会影响字体的内存，但是与之前的研究不同，两者都包括静态视觉噪声条件，并且都使用信号检测措施进行了分析。没有证据表明DVN影响了字体信息的存储，因此无法证实对图像定义假设的原始版本的预测。我们建议以重新整合为重点的修订版可以解释结果。