Abstract Interrupting a sequence of episodic recognition decisions by a problem-solving task will change the hit and false alarm rate for the following item in a recognition test (Watkins & Peynircioglu, 1990). The mechanisms of this revelation effect have not yet been understood completely. We offer a new explanation based on the global matching model MINERVA 2 (Hintzman, 1984, 1986, 1988). The main mechanism in our approach is that the interrupting problem-solving task eliminates some context features in the retrieval cue for the next recognition decision. Assuming a constant decision criterion, this shifts the means of the underlying familiarity distributions and produces a revelation effect. The means of the familiarity distributions decrease for low-frequency stimuli but can shift to more positive values for high-frequency stimuli. We show how this approach explains established empirical findings. We also test new predictions within three experiments. The first two experiments show that the revelation effect disappears if context features are made more available at test. The third experiment confirms the prediction that the revelation effect increases as a function of pre-experimental frequency. Overall, our approach explains findings that have been difficult to explain so far, provides a framework for new predictions, and shows connections to other memory paradigms via the underlying model.

中文翻译：

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揭示效应的计算方法

摘要 通过解决问题的任务中断一系列情节识别决策将改变识别测试中以下项目的命中率和误报率 (Watkins & Peynircioglu, 1990)。这种启示效应的机制尚未完全了解。我们基于全局匹配模型 MINERVA 2 (Hintzman, 1984, 1986, 1988) 提供了一个新的解释。我们方法中的主要机制是中断问题解决任务在下一个识别决策的检索线索中消除了一些上下文特征。假设一个恒定的决策标准，这会改变潜在熟悉度分布的均值并产生启示效应。对于低频刺激，熟悉度分布的均值会降低，但对于高频刺激，熟悉度分布的平均值可以转移到更正的值。我们展示了这种方法如何解释既定的实证结果。我们还在三个实验中测试了新的预测。前两个实验表明，如果在测试中使上下文特征更可用，则启示效应就会消失。第三个实验证实了启示效应随着实验前频率而增加的预测。总的来说，我们的方法解释了迄今为止难以解释的发现，为新的预测提供了一个框架，并通过基础模型显示了与其他记忆范式的联系。第三个实验证实了启示效应随着实验前频率而增加的预测。总的来说，我们的方法解释了迄今为止难以解释的发现，为新的预测提供了一个框架，并通过基础模型显示了与其他记忆范式的联系。第三个实验证实了启示效应随着实验前频率而增加的预测。总的来说，我们的方法解释了迄今为止难以解释的发现，为新的预测提供了一个框架，并通过基础模型显示了与其他记忆范式的联系。