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遗忘图片的追踪识别。

Forgetting tracked by recognition of pictures.

机构信息

Department of Psychology, University of Cambridge, Cambridge, UK.

出版信息

Q J Exp Psychol (Hove). 2022 Apr;75(4):680-694. doi: 10.1177/17470218211047862. Epub 2021 Oct 4.

Abstract

Thirty-three participants viewed 1,000 pictures for 6 s each. Recognition was tested after 10 different intervals of time by mixing 100 of the original 1,000 with 100 new pictures. Participants judged each test picture "Old" or "New" on a 6-point scale. The unequal-variance recognition model is reinterpreted to estimate the probability of retrieval of an original (1,000) picture after each lapse of time. A second model then relates those different estimates of accessibility to the lapse of time, taking into account the interference on each test from pictures presented in preceding tests. Studies of category judgement explain (a) why the model distributions are normal, (b) why the operating characteristics are asymmetric, (c) why they are curvilinear, and (d) why the asymmetry decreases with lapse of time, this to justify a particular estimate of accessibility (probability of retrieval). Nine candidate functions are shown to the accessibilities. The underlying relation is a power law, but the exponent is poorly determined by the data (-1.5, -0.5), as also is the offset from the temporal origin. Comparisons with previous work identify two different relationships with respect to lapse of time: The retrieval of a unique image shows an approximately reciprocal loss, whereas a decrease in the amount of material reproduced by recall, recognition, or other method is approximately logarithmic. The present experiment exhibits both relationships, depending on whether specific account is taken of the effects of interference or, alternatively, interference is entirely ignored.

摘要

三十三 名参与者观看了 1000 张图片,每张图片显示 6 秒。在 10 个不同的时间间隔后,通过将 1000 张原始图片中的 100 张与 100 张新图片混合,对识别进行了测试。参与者使用 6 分制对每个测试图片进行“旧”或“新”的判断。不等方差识别模型被重新解释,以估计在每次时间间隔后检索原始(1000 张)图片的概率。然后,第二个模型将这些不同的可访问性估计与时间间隔相关联,同时考虑了在前几次测试中呈现的图片对每次测试的干扰。类别判断研究解释了:(a) 为什么模型分布是正态的;(b) 为什么操作特征是不对称的;(c) 为什么它们是曲线的;(d) 为什么不对称性随着时间间隔的延长而减少,这是为了证明可访问性的特定估计(检索概率)的合理性。九种候选函数被显示为可访问性。基础关系是幂律,但数据确定的指数很差(-1.5,-0.5),时间起点的偏移量也是如此。与以前的工作进行比较,确定了与时间间隔有关的两种不同关系:对唯一图像的检索表现出大致的倒数损失,而通过回忆、识别或其他方法再现的信息量的减少则大致呈对数关系。本实验展示了这两种关系,这取决于是否具体考虑干扰的影响,或者是否完全忽略干扰。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3f5d/8915223/f7c5c5ced12e/10.1177_17470218211047862-fig1.jpg

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