The striking similarities between standard, distractor-free, and target-free recognition

It is often assumed that observers seek to maximize correct responding during recognition testing by actively adjusting a decision criterion. However, early research by Wallace (Journal of Experimental Psychology: Human Learning and Memory 4:441–452, 1978) suggested that recognition rates for studied items remained similar, regardless of whether or not the tests contained distractor items. We extended these findings across three experiments, addressing whether detection rates or observer confidence changed when participants were presented standard tests (targets and distractors) versus “pure-list” tests (lists composed entirely of targets or distractors). Even when observers were made aware of the composition of the pure-list test, the endorsement rates and confidence patterns remained largely similar to those observed during standard testing, suggesting that observers are typically not striving to maximize the likelihood of success across the test. We discuss the implications for decision models that assume a likelihood ratio versus a strength decision axis, as well as the implications for prior findings demonstrating large criterion shifts using target probability manipulations.

[1]  Ronald Ley,et al.  A distractor-free test of recognition and false recognition , 1987 .

[2]  Tim Curran,et al.  Conflict and criterion setting in recognition memory. , 2007, Journal of experimental psychology. Learning, memory, and cognition.

[3]  R Ratcliff,et al.  Testing global memory models using ROC curves. , 1992, Psychological review.

[4]  The Nature of Recognition Memory and of the Localization of Recognitions , 1916 .

[5]  W. Wallace Distractor-Free Recognition Tests of Memory , 1982 .

[6]  Caren M Rotello,et al.  Toward a complete decision model of item and source recognition , 2008, Psychonomic bulletin & review.

[7]  W T Maddox,et al.  Interactions of stimulus attributes, base rates, and feedback in recognition. , 1995, Journal of experimental psychology. Learning, memory, and cognition.

[8]  Steven D. Penrod,et al.  CHOOSING, CONFIDENCE, AND ACCURACY : A META-ANALYSIS OF THE CONFIDENCE-ACCURACY RELATION IN EYEWITNESS IDENTIFICATION STUDIES , 1995 .

[9]  R. Ley,et al.  Distractor similarity effects in tests of discrimination recognition and distractor-free recognition , 1988 .

[10]  A. Cleary,et al.  Auditory recognition without identification , 2007, Memory & cognition.

[11]  I. Dobbins,et al.  Examining recognition criterion rigidity during testing using a biased-feedback technique: Evidence for adaptive criterion learning , 2008, Memory & cognition.

[12]  Michael Diaz,et al.  Signal detection with criterion noise: applications to recognition memory. , 2009, Psychological review.

[13]  J T Wixted,et al.  Decision rules for recognition memory confidence judgments. , 1998, Journal of experimental psychology. Learning, memory, and cognition.

[14]  William P. Wallace,et al.  Distractors in Recall, Distractor-Free Recognition, and the Word Frequency Effect. , 1978 .

[15]  William F. Brewer,et al.  Confidence and accuracy in the recall of deceptive and nondeceptive sentences. , 2005 .

[16]  Neil A. Macmillan,et al.  Detection theory: A user's guide, 2nd ed. , 2005 .

[17]  W. Wallace On the use of distractors for testing recognition memory. , 1980, Psychological bulletin.

[18]  Effects of spectacles on recognition memory for faces: Evidence from a distractor-free test , 1993 .

[19]  M. Kubovy,et al.  The effects of payoffs and prior probabilities on indices of performance and cutoff location in recognition memory , 1978, Memory & cognition.

[20]  Matthew G. Rhodes,et al.  On the dynamic nature of response criterion in recognition memory: effects of base rate, awareness, and feedback. , 2007, Journal of experimental psychology. Learning, memory, and cognition.

[21]  E. Hirshman,et al.  Decision processes in recognition memory: criterion shifts and the list-strength paradigm. , 1995, Journal of experimental psychology. Learning, memory, and cognition.

[22]  I. Dobbins,et al.  Regulating recognition decisions through incremental reinforcement learning , 2009, Psychonomic bulletin & review.

[23]  D. L. Hintzman On explaining the mirror effect. , 1994 .

[24]  T. Zandt ROC curves and confidence judgments in recognition memory. , 2000 .

[25]  Scott D. Brown The pervasive problem of criterion setting: (520592012-150) , 2010 .

[26]  I. Dobbins,et al.  Confidence-accuracy inversions in scene recognition: a remember-know analysis. , 1998, Journal of experimental psychology. Learning, memory, and cognition.

[27]  John T Wixted,et al.  On the nature of the decision axis in signal-detection-based models of recognition memory. , 2002, Journal of experimental psychology. Learning, memory, and cognition.

[28]  John T Wixted,et al.  Cognitive theories as reinforcement history surrogates: The case of likelihood ratio models of human recognition memory , 2002, Animal learning & behavior.

[29]  Michael A. Skelly,et al.  “Nonparametric”A’ and other modern misconceptions about signal detection theory , 2003, Psychonomic bulletin & review.

[30]  Neil A. Macmillan,et al.  Detection Theory: A User's Guide , 1991 .

[31]  D G Pelli,et al.  The VideoToolbox software for visual psychophysics: transforming numbers into movies. , 1997, Spatial vision.

[32]  Caren M. Rotello,et al.  Memory strength and the decision process in recognition memory , 2007, Memory & cognition.

[33]  Michael Wilson,et al.  MRC psycholinguistic database: Machine-usable dictionary, version 2.00 , 1988 .

[34]  Scott A. Huettel,et al.  Functional Significance of Striatal Responses during Episodic Decisions: Recovery or Goal Attainment? , 2010, The Journal of Neuroscience.

[35]  Geoffrey R. Loftus,et al.  Accounts of the confidence-accuracy relation in recognition memory , 2000, Psychonomic bulletin & review.

[36]  A. Benjamin,et al.  Distractor plausibility and criterion placement in recognition , 2004 .

[37]  W P Wallace,et al.  Recognition failure of recallable words and recognizable words. , 1978, Journal of experimental psychology. Human learning and memory.

[38]  B. Underwood Word Recognition Memory and Frequency Information. , 1972 .

[39]  Karl K. Szpunar,et al.  Laboratory-based and autobiographical retrieval tasks differ substantially in their neural substrates , 2009, Neuropsychologia.

[40]  D H Brainard,et al.  The Psychophysics Toolbox. , 1997, Spatial vision.

[41]  C. C. Chandler,et al.  Studying related pictures can reduce accuracy, but increase confidence, in a modified recognition test , 1994, Memory & cognition.

[42]  J. Wixted,et al.  On the difference between strength-based and frequency-based mirror effects in recognition memory. , 1998, Journal of experimental psychology. Learning, memory, and cognition.

[43]  James L. McClelland,et al.  Elsevier Editorial System(tm) for Journal of Memory and Language Manuscript Draft Title: Differentiating the Differentiation Models: a Comparison of the Retrieving Effectively from Memory Model (rem) and the Subjective Likelihood Model (slim) Differentiating the Differentiation Models: a Comparison , 2022 .