Publications by authors named "Ian G Dobbins"

Recent work highlights the ability of verbal machine learning classifiers to distinguish between accurate and inaccurate recognition memory decisions (Dobbins, 2022; Dobbins & Kantner, 2019; Seale-Carlisle, Grabman, & Dodson, 2022). Given the surge of interest in these modeling techniques, there is an urgent need to investigate verbal classifiers' limitations - particularly in applied contexts such as when police collect eyewitness's confidence statements. We find that confirmatory feedback (e.

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Humans have the highly adaptive ability to learn from others' memories. However, because memories are prone to errors, in order for others' memories to be a valuable source of information, we need to assess their veracity. Previous studies have shown that linguistic information conveyed in self-reported justifications can be used to train a machine-learner to distinguish true from false memories.

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Article Synopsis
  • Items with higher values are recognized and recalled better than lower value items, but this is influenced more by learned strategies rather than automatic processing.
  • Experiments showed that giving specific instructions to focus on high-value items significantly increased recognition, while tasks that required more cognitive effort hindered the value-directed encoding effects.
  • A notable finding reveals that when asked about the value of recognized items, participants often relied on recognition strength as a cue, potentially leading to misconceptions about the true value, which could impact behavioral economics.
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The recognition memory receiver operating characteristic (ROC) is typically asymmetric with a characteristic elevation of the left-hand portion. Whereas the unequal variance signal detection model (uvsd) assumes the asymmetry results because old item evidence is noisier than new item evidence, the dual process signal detection model (dpsd) assumes it results because old items convey more useful information than new items. To test these assumptions, the models were fit to old/new recognition data and their evidence parameters were used to predict performance on a novelty, three-alternative forced-choice (N3AFC) recognition task.

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Machine learners trained on verbal justifications of recognition decisions reliably predict recognition accuracy. If these recognition language classifiers are recollection sensitive, they should generalize beyond the single-item, verbal recognition paradigms upon which they were trained. To test this, three classifiers were trained to distinguish justification language in three different single-item verbal recognition paradigms, learning to distinguish the language justifying hits from false alarms, high from medium confidence hits, and remember from know judgements.

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Dual process recognition models assume recognition depends upon context recollection and/or item familiarity. While most assume recollection is more highly valued or weighted than familiarity during judgment, we tested a continuous dual process (CDP) model that instead assumes recollection and familiarity are equally weighted during recognition judgment. Experiments 1a and 1b used a joint rating scale in which each probe was rated for recollection and familiarity strength, which were then used to predict overall recognition confidence.

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We examined affective consequences arising from the kinds of memory retrieval failures that often accompany social interaction. To do so, we measured the influence of cued-recall outcomes for biographical information on the rated attractiveness of faces. The data demonstrate that retrieval of names (Experiment 1a) and professions (Experiment 1b) increases the rated attractiveness of target faces relative to faces that failed to produce recall of associative information.

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Stimuli that are recognized from a prior encounter elicit larger pupil dilations than those that are not. This study tests an account of this recognition dilation response (RDR) that assumes newly encountered recognition signals, like new percepts, elicit attentional orienting responses. Because orienting is moderated by motivational significance and expectation, the RDR was tested for these properties; manipulating incentives for "old" versus "new" judgments, and isolating the effects of runs of "old" versus "new" decisions on the subsequent RDR, in two experiments.

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Under cognitive load theory, time pressure/urgency-induced arousal is a major contributor to pupil dilation during cognition. However, pupillometric encoding studies have failed to consider the possible role of time pressure/urgency effects, instead often assuming that encoding dilations directly reflect encoding strength. To isolate possible encoding strength and time pressure effects, we manipulated levels of processing (deep vs.

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During recognition memory decisions, external hints or cues alter the accuracy and confidence of correct rejections (valid > uncued > invalid). In contrast, although hits show analogous accuracy effects, hit confidence remains largely unaffected by cue validity. Prior research suggested this confidence validity dissociation (CVD) may depend upon the presence of recollection during hits.

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The natural language accompanying recognition judgments is a largely untapped though potentially rich source of information about the kinds of processing that may support recognition memory. The current report illustrates a series of methods using machine learning and receiver operating characteristics (ROCs) to examine whether the language participants use to justify their 'old' and 'new' recognition decisions (viz., memory justifications) predicts accuracy.

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Prior stimulus exposure often increases later ratings of positive affect (e.g., pleasantness ratings).

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Confidence ratings during old-new recognition memory tasks are thought to index the strength of memory evidence elicited by test probes. However, various subject-specific factors may also influence reported confidence, including perceived self-efficacy and idiosyncratic interpretation of the confidence scale. To measure the contribution of subject-specific variables to confidence ratings, we performed regression analyses on extant data from three recognition experiments encompassing procedural variations in encoding and stimuli, testing the degree to which the person making the judgment (the "subject" factor), versus whether or not the judgment is accurate, influences reported confidence.

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Recognition memory tests typically consist of randomly intermixed studied and nonstudied items that subjects classify as old or new, often while indicating their confidence in these classifications. Under most decision theories, confidence ratings index an item's memory strength-the extent to which it elicits evidence of prior occurrence. Because the test probes are randomly ordered, these theories predict that confidence judgments should be sequentially independent: confidence on trial n should not predict confidence on n + 1.

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Outside the laboratory, we sometimes revise our recognition judgments of others-realizing, for example, that we have accidentally failed to greet an acquaintance we just passed in the hallway. These recognition reversals have rarely been studied. Here, using a basic noisy-accumulation framework, we simulated recognition response reversals in which initial speeded recognition judgments were followed by an opportunity to revise the initial judgment.

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Recognition judgments can benefit from the use of environmental cues that signal the general likelihood of encountering familiar versus unfamiliar stimuli. While incorporating such cues is often adaptive, there are circumstances (e.g.

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Optimally discriminating familiar from novel stimuli demands a decision-making process informed by prior expectations. Here we demonstrate that pupillary dilation (PD) responses during recognition memory decisions are modulated by expectations, and more specifically, that pupil dilation increases for unexpected compared to expected recognition. Furthermore, multi-level modeling demonstrated that the time course of the dilation during each individual trial contains separable early and late dilation components, with the early amplitude capturing unexpected recognition, and the later trailing slope reflecting general judgment uncertainty or effort.

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Adaptively biasing recognition judgments in light of environmental cues improves net accuracy. Based on previous work suggesting that strategically shifting biases on a trial-wise basis should be cognitively demanding, the authors predicted that older adults would not achieve the same accuracy benefits from environmental cues as the young. However, despite showing clear declines in cognitive control as indexed by complex span, older adults demonstrated similar accuracy gains and similar alterations of response probabilities with cues of 75% reliability (Experiment 1) and more complex cues spanning 3 levels of reliability (Experiment 2).

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Reward responses in the medial temporal lobes and dopaminergic midbrain boost episodic memory formation in healthy adults, and weak memory for emotionally positive material in depression suggests this mechanism may be dysfunctional in major depressive disorder (MDD). To test this hypothesis, we performed a study in which unmedicated adults with MDD and healthy controls encoded drawings paired with reward or zero tokens during functional magnetic resonance imaging. In a recognition test, participants judged whether drawings were previously associated with the reward token ('reward source') or the zero token ('zero source').

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The Remember/Know procedure, developed by Tulving (1985) to capture the distinction between the conscious correlates of episodic and semantic retrieval, has spawned considerable research and debate. However, only a handful of reports have examined the recognition content beyond this dichotomous simplification. To address this, we collected participants' written justifications in support of ordinary old/new recognition decisions accompanied by confidence ratings using a 3-point scale (high/medium/low).

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The role of lateral parietal cortex during recognition memory is heavily debated. We examined parietal activation during an Explicit Memory Cueing recognition paradigm that biases participants towards expecting novel or familiar stimuli on a trial-by-trial basis using anticipatory cues ("Likely Old", "Likely New"), compared to trials with neutral cues ("????"). Three qualitatively distinct patterns were observed in the left lateral parietal cortex.

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Cortical regions supporting cognitive control and memory judgment are structurally immature in adolescents. Here we studied adolescents (13-15 y.o.

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The putative role of the lateral parietal lobe in episodic memory has recently become a topic of considerable debate, owing primarily to its consistent activation for studied materials during functional magnetic resonance imaging studies of recognition. Here we examined the performance of patients with parietal lobe lesions using an explicit memory cueing task in which probabilistic cues ("Likely Old" or "Likely New"; 75% validity) preceded the majority of verbal recognition memory probes. Without cues, patients and control participants did not differ in accuracy.

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