Evidence for Discrete-State Processing in Recognition Memory and Word Identification

2012 ◽  
Author(s):  
Jeffrey N. Rouder ◽  
Jordan M. Province ◽  
April R. Swagman
1975 ◽  
Vol 82 (4) ◽  
pp. 316-324 ◽  
Author(s):  
Dirk Vorberg ◽  
Rainer Schmidt

Author(s):  
Anne Voormann ◽  
Mikhail S. Spektor ◽  
Karl Christoph Klauer

AbstractIn everyday life, recognition decisions often have to be made for multiple objects simultaneously. In contrast, research on recognition memory has predominantly relied on single-item recognition paradigms. We present a first systematic investigation into the cognitive processes that differ between single-word and paired-word tests of recognition memory. In a single-word test, participants categorize previously presented words and new words as having been studied before (old) or not (new). In a paired-word test, however, the test words are randomly paired, and participants provide joint old–new categorizations of both words for each pair. Across two experiments (N = 170), we found better memory performance for words tested singly rather than in pairs and, more importantly, dependencies between the two single-word decisions implied by the paired-word test. We extended two popular model classes of single-item recognition to paired-word recognition, a discrete-state model and a continuous model. Both models attribute performance differences between single-word and paired-word recognition to differences in memory-evidence strength. Discrete-state models account for the dependencies in paired-word decisions in terms of dependencies in guessing. In contrast, continuous models map the dependencies on mnemonic (Experiment 1 & 2) as well as on decisional processes (Experiment 2). However, in both experiments, model comparison favored the discrete-state model, indicating that memory decisions for word pairs seem to be mediated by discrete states. Our work suggests that individuals tackle multiple-item recognition fundamentally differently from single-item recognition, and it provides both a behavioral and model-based paradigm for studying multiple-item recognition.


2014 ◽  
Author(s):  
Chad Dube ◽  
Benjamin H. Zobel ◽  
Lisa D. Sanders ◽  
Caren M. Rotello

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