AI Article Synopsis

  • The DRM paradigm demonstrates that unique encoding of list items decreases false recognition of critical lures compared to simple reading.
  • Participants who engaged in an anagram generation task showed improved correct recognition and reduced false recognition for both strongly and weakly related lures.
  • These findings suggest that the benefits of distinctive encoding extend to both enhancing memory retrieval and reducing the encoding of irrelevant related items, promoting better monitoring during tests.

Article Abstract

In the Deese-Roediger/McDermott (DRM) paradigm, distinctive encoding of list items typically reduces false recognition of critical lures relative to a read-only control. This reduction can be due to enhanced item-specific processing, reduced relational processing, and/or increased test-based monitoring. However, it is unclear whether distinctive encoding reduces false recognition in a selective or global manner. To examine this question, participants studied DRM lists using a distinctive item-specific anagram generation task and then completed a recognition test which included both DRM critical lures and either strongly related lures (Experiment 1) or weakly related lures (Experiment 2). Compared to a read-control group, the generate groups showed increased correct recognition and decreased false recognition of all lure types. We then estimated the separate contributions of encoding and retrieval processes using signal-detection indices. Generation improved correct recognition by both increasing encoding of memory information for list words and by increasing memory monitoring at test. Generation reduced false recognition by reducing the encoding of memory information and by increasing memory monitoring at test. The reduction in false recognition was equivalent for critical lures and related lures, indicating that generation globally reduces the encoding of related non-presented items at study (not just critical lures), while globally increasing list-theme-based monitoring at test.

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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7714777PMC
http://dx.doi.org/10.3389/fpsyg.2020.602347DOI Listing

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