Signal-Detection, Threshold, and Dual-Process Models of Recognition Memory: ROCs and Conscious Recollection
David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Ezio Di Nucci
Jack Alan Reynolds
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Consciousness and Cognition 5 (4):418-441 (1996)
Threshold- and signal-detection-based models have dominated theorizing about recognition memory. Building upon these theoretical frameworks, we have argued for a dual-process model in which conscious recollection and familiarity contribute to memory performance. In the current paper we assessed several memory models by examining the effects of levels of processing and the number of presentations on recognition memory receiver operating characteristics . In general, when the ROCs were plotted in probability space they exhibited an inverted U shape; however, when they were plotted inzspace they exhibited a U shape. An examination of the ROCs showed that the dual-process model could account for the observed ROCs, but that models based solely on either threshold or signal-detection processes failed to provide a sufficient account of the data. Furthermore, an examination of subjects' introspective reports using the remember/know procedure showed that subjects were aware of recollection and familiarity and were able to consistently report on their occurrence. The remember/know data were used to accurately predict the shapes of the ROCs, and estimates of recollection and familiarity derived from the ROC data mirrored the subjective reports of these processes
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Citations of this work BETA
John M. Gardiner, C. Ramponi & A. Richardson-Klavehn (1998). Experiences of Remembering, Knowing, and Guessing. Consciousness and Cognition 7 (1):1-26.
Helen L. Williams, Martin A. Conway & Chris Ja Moulin (2013). Remembering and Knowing: Using Another's Subjective Report to Make Inferences About Memory Strength and Subjective Experience. Consciousness and Cognition 22 (2):572-588.
John T. Wixted (2007). Dual-Process Theory and Signal-Detection Theory of Recognition Memory. Psychological Review 114 (1):152-176.
Randall C. O.’Reilly, Rajan Bhattacharyya, Michael D. Howard & Nicholas Ketz (2014). Complementary Learning Systems. Cognitive Science 38 (6):1229-1248.
Colleen M. Parks & Andrew P. Yonelinas (2007). Moving Beyond Pure Signal-Detection Models: Comment on Wixted. Psychological Review 114 (1):188-201.
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