AI Article Synopsis
- The remember-know paradigm helps differentiate between items that are fully remembered and those that are just familiar.
- A conventional one-dimensional model implies that "remember" responses are simply high-confidence old judgments, but evidence shows this is incorrect, as supported by a meta-analysis of 373 experiments.
- The new STREAK theory proposes that memory judgments consider both overall and specific memory strength, using a weighted sum for old-new judgments and a weighted difference for remember-know judgments, effectively explaining various ROC curve forms and existing recognition data.
Article Abstract
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.
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| http://dx.doi.org/10.1037/0033-295X.111.3.588 | DOI Listing |
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Article Synopsis
- The remember-know paradigm helps differentiate between items that are fully remembered and those that are just familiar.
- A conventional one-dimensional model implies that "remember" responses are simply high-confidence old judgments, but evidence shows this is incorrect, as supported by a meta-analysis of 373 experiments.
- The new STREAK theory proposes that memory judgments consider both overall and specific memory strength, using a weighted sum for old-new judgments and a weighted difference for remember-know judgments, effectively explaining various ROC curve forms and existing recognition data.
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