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Sum–Difference Theory of Remembering and Knowing: A Two-Dimensional Signal-Detection Model

机译:记忆和知道的和差理论:二维信号检测模型

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摘要

In the remember–know paradigm for studying recognition memory, participants distinguish items whose presentations are episodically remembered from those that are merely familiar. A one-dimensional model postulates that remember responses are just high-confidence old judgments, but a meta-analysis of 373 experiments shows that the receiver operating characteristic (ROC) curves predicted by this model have the wrong slope. According to the new sum–difference theory of remembering and knowing (STREAK), old items differ from new ones in both global and specific memory strength: The old–new judgment is based on a weighted sum of these dimensions, and the remember–know judgment is based on a weighted difference. STREAK accounts for the form of several novel kinds of ROC curves and for existing remember–know and item-recognition data.
机译:在学习识别记忆的“记住—知道”范式中,参与者将那些在演讲中被记忆记住的项目与那些仅熟悉的项目区分开。一维模型假定记忆响应只是高信度的旧判断,但是对373个实验的荟萃分析表明,此模型预测的接收器工作特性(ROC)曲线的斜率不正确。根据新的记忆与认识和差理论(STREAK),旧项目在整体和特定记忆强度上与新项目有所不同:旧-新判断基于这些维度的加权总和,而记忆-知道判断是基于加权差异。 STREAK解释了几种新颖的ROC曲线的形式以及现有的记住-知识和项目识别数据。

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