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Highly memorable images are more readily perceived.
Journal of Experimental Psychology: General ( IF 3.7 ) Pub Date : 2024-05-02 , DOI: 10.1037/xge0001594
Will Deng 1 , Kara D Federmeier 1 , Diane M Beck 1
Affiliation  

Image memorability, the likelihood that a person will remember a particular image, has been shown to be an intrinsic property of the image that is distinct from many other visual and cognitive features. Research thus far has not identified particular visual features that can sufficiently explain this intrinsic memorability, but one possibility is that more and less memorable images differ in their statistical regularity (i.e., how prototypical or distinctive they are). Statistical regularity is known to affect detection time for images, such that stimuli with higher statistical regularity can be detected with shorter presentation directions. Therefore, in the present study, we probed whether memorability affects how quickly an image can be detected. High- and low-memorability images were presented in an intact/scrambled task wherein participants were asked to indicate whether they saw an intact image or noise, and we estimated the presentation duration necessary for participants to reach 70.7% accuracy. Across two experiments using different stimulus materials, we observed and then replicated that more memorable images are associated with shorter detection thresholds than those for less memorable images. The results support the idea that memorable stimuli may better match stored templates used for image perception and/or recognition. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

中文翻译:


高度难忘的图像更容易被感知。



图像可记忆性,即一个人记住特定图像的可能性,已被证明是图像的固有属性,与许多其他视觉和认知特征不同。迄今为止的研究尚未确定能够充分解释这种内在记忆力的特定视觉特征,但一种可能性是,或多或少令人难忘的图像在其统计规律性上有所不同(即它们的典型性或独特性)。众所周知,统计规律性会影响图像的检测时间,因此可以用较短的呈现方向来检测具有较高统计规律性的刺激。因此,在本研究中,我们探讨了记忆性是否会影响检测图像的速度。高记忆性和低记忆性图像在完整/混乱的任务中呈现,其中要求参与者指出他们看到的是完整图像还是噪声,我们估计了参与者达到 70.7% 准确率所需的呈现持续时间。在使用不同刺激材料的两个实验中,我们观察到并重复了更难忘的图像与不太难忘的图像相比与更短的检测阈值相关的情况。结果支持这样的观点,即难忘的刺激可以更好地匹配用于图像感知和/或识别的存储模板。 (PsycInfo 数据库记录 (c) 2024 APA,保留所有权利)。
更新日期:2024-05-02
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