scholarly journals Discrete-state versus continuous models of the confidence-accuracy relationship in recognition memory

Author(s):  
Christophe G. Delay ◽  
John T. Wixted
1975 ◽  
Vol 82 (4) ◽  
pp. 316-324 ◽  
Author(s):  
Dirk Vorberg ◽  
Rainer Schmidt

1993 ◽  
Vol 76 (3_suppl) ◽  
pp. 1083-1088 ◽  
Author(s):  
Stuart J. McKelvie

This paper presents a re-analysis of previously reported data in which the mean correlation over 10 experiments between vividness of visual imagery for faces and facial recognition memory was .247. When task accuracy was consistently scored to eliminate false-alarms, the correlation dropped to .145, although it remained above zero. Since the vividness/task confidence correlation of .176 was also significant, it is suggested that the weak vividness/accuracy relationship may reflect different processing requirements in the vividness and recognition tasks and subjectivity of the vividness rating scale.


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

Author(s):  
David Kellen ◽  
Henrik Singmann ◽  
Jan Vogt ◽  
Karl Christoph Klauer

The two high threshold model (2HTM) of recognition memory makes strong predictions regarding differences between receiver operating characteristics (ROC) functions across strength manipulations. Province and Rouder (2012) tested these predictions and showed that the 2HTM provided a better account of the data than a continuous signal detection model using an extended two-alternative forced-choice task. The present study replicates and extends Province and Rouder’s findings at the level of confidence-rating responses as well as their associated response times. Model-mimicry simulations are also reported, ascertaining that the models can be well discriminated in this experimental design. Supplemental files for this article are available at osf.io/zadt6/


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