Metacognitive inferences in source memory judgements: the role of perceived differences in item recognition

Experimental validation of a multinomial processing tree model for analyzing eyewitness identification decisions

To improve police protocols for lineup procedures, it is helpful to understand the processes underlying eyewitness identification performance. The two-high threshold (2-HT) eyewitness identification model is a multinomial processing tree model that measures four latent cognitive processes on which eyewitness identification decisions are based: two detection-based processes (the detection of culprit presence and absence) and two non-detection-based processes (biased and guessing-based selection). The model takes into account the full 2 × 3 data structure of lineup procedures, that is, suspect identifications, filler identifications and rejections in both culprit-present and culprit-absent lineups. Here the model is introduced and the results of four large validation experiments are reported, one for each of the processes specified by the model. The validation experiments served to test whether the model’s parameters sensitively reflect manipulations of the processes they were designed to measure. The results show that manipulations of exposure duration of the culprit’s face at encoding, lineup fairness, pre-lineup instructions and ease of rejection of culprit-absent lineups were sensitively reflected in the parameters representing culprit-presence detection, biased suspect selection, guessing-based selection and culprit-absence detection, respectively. The results of the experiments thus validate the interpretations of the parameters of the 2-HT eyewitness identification model.

A validation of the two-high threshold eyewitness identification model by reanalyzing published data

The two-high threshold (2-HT) eyewitness identification model serves as a new measurement tool to measure the latent cognitive processes underlying eyewitness identification performance. By simultaneously taking into account correct culprit identifications, false innocent-suspect identifications, false filler identifications in culprit-present and culprit-absent lineups as well as correct and false lineup rejections, the model capitalizes on the full range of data categories that are observed when measuring eyewitness identification performance. Thereby, the model is able to shed light on detection-based and non-detection-based processes underlying eyewitness identification performance. Specifically, the model incorporates parameters for the detection of culprit presence and absence, biased selection of the suspect and guessing-based selection among the lineup members. Here, we provide evidence of the validity of each of the four model parameters by applying the model to eight published data sets. The data sets come from studies with experimental manipulations that target one of the underlying processes specified by the model. Manipulations of encoding difficulty, lineup fairness and pre-lineup instructions were sensitively reflected in the parameters reflecting culprit-presence detection, biased selection and guessing-based selection, respectively. Manipulations designed to facilitate the rejection of culprit-absent lineups affected the parameter for culprit-absence detection. The reanalyses of published results thus suggest that the parameters sensitively reflect the manipulations of the processes they were designed to measure, providing support of the validity of the 2-HT eyewitness identification model.

Guess what? Different source-guessing strategies for old versus new information

The probability-matching account states that learned specific episodic contingencies of item types and source dominate over general schematic expectations in source guessing. However, recent evidence from Bell et al. [(2020). Source attributions for detected new items: Persistent evidence for schematic guessing. Quarterly Journal of Experimental Psychology, 73(9), 1407-1422] suggest that this only applies to source guessing for information that is recognised as belonging to a previously encoded episode. When information was detected as being new, participants persisted in applying schematic knowledge about the sources' profession. This dissociation in source guessing for detected-old and detected-new information may have been fostered by the specific source-monitoring paradigm by Bell et al. (2020) in which sources were a group of individuals in a certain profession rather than fixed persons from that profession for whom episodic contingencies are more likely to persist also for new information. The aim of the present study was to test whether source guessing for detected-old versus detected-new information also dissociates in a more typical source-monitoring task, the doctor-lawyer paradigm, in which one individual doctor and one lawyer present profession-related information. Despite this change in paradigm, source guessing was based on the item-source contingency only for detected-old information, whereas schematic knowledge persisted for detected-new information. The present study thus adds evidence for persistent schema-based source guessing for new information.

The metamemory expectancy illusion in source monitoring affects metamemory control and memory

In source monitoring, schematic expectations affect both memory and metamemory. In metamemory judgments, people predict better source memory for items that originated from an expected source (e.g., oven in the kitchen) than for items that originated from an unexpected source (e.g., hairdryer in the kitchen; expectancy effect; Schaper et al., 2019a). By contrast, actual source memory is either unaffected by expectations or better for unexpected sources (inconsistency effect; Kuhlmann & Bayen, 2016). Thus, the metamemory expectancy effect is illusory. This research is the first to test the hypotheses that such metamemory monitoring of source memory affects metamemory control (i.e., measures taken to achieve a desired level of memory; Nelson & Narens, 1990) and memory. Due to their expectancy illusion, people should choose to restudy unexpected source-item pairs more often. Three participant groups (n = 36 each) studied expected and unexpected source-item pairs. One group rendered metamemory judgments and chose pairs for restudy. A second group made restudy choices only. These two groups then restudied the chosen pairs. A third group did not make restudy choices and restudied a random half of the pairs. All participants completed a source-monitoring test. As predicted, participants chose unexpected pairs more often for restudy based on their illusory conviction that they would remember unexpected sources more poorly. These restudy choices concurred with an inconsistency effect on source memory not shown in the group without restudy choices. Thus, the metamemory illusion related to control and memory in source monitoring.

Is knowledge reliance in source guessing a cognitive trait? Examining stability across time and domain

When people need to infer the source of information in the absence of memory, they may rely on general knowledge (e.g., stereotypes) to guess the source. Prior research documented task-related determinants and individual differences of stereotype reliance in source guessing, but little is known about the underling nature of this process. In two experiments, we tested whether a cognitive trait could account for the knowledge reliance in source guessing. Participants performed two distinct study-test cycles of a classical source-monitoring paradigm in which two person sources present stereotypical information that in a later test phase had to be attributed to its origin. In Experiment 1, both tasks used item material from the same knowledge domain (age stereotypes) and were either separated by 10 minutes or 7 days. In Experiment 2, we used item material from two different knowledge domains (Task 1: age stereotypes; Task 2: gender stereotypes). Although cross-task correlations of source-guessing parameters from Bayesian-hierarchical multinomial processing tree model analyses showed only weak positive correlations, absolute source guessing remained fairly stable within individuals across time (Experiment 1) and knowledge domains (Experiment 2). Considering statistical challenges of the assessment of relative stability via correlations, we suggest based on the stricter absolute stability criterion that source guessing rather encompasses trait-like features. We discuss implications regarding the generalizability and nature of source guessing in comparison to other cognitive processes involved in source attribution, which were highly stable in both experiments.

Bald and Bad?

According to (a) the beauty ideal of a full head of hair and (b) the physical attractiveness stereotype (PAS; "what is beautiful is good"), bald men should appear less attractive than nonbald men, not only physically but also socially. To explain inconsistent results on this prediction in previous research, we suggest two antagonistic processes: the automatic activation of the PAS at the implicit level and its suppression at the explicit level, the latter process selectively triggered by individuating information about the target person. In line with this account, we only found negative social attractiveness ratings for bald men by same-aged women when individuating target information was lacking (Experiment 1). In contrast, irrespective of whether individuating information was available or not, we reliably found evidence for the PAS in different implicit paradigms (the implicit association test in Experiment 2 and a source monitoring task in Experiment 3). We conclude that individuating information about bald men suppresses PAS application, but not PAS activation.

Emotional valence of stimuli modulates false recognition: Using a modified version of the simplified conjoint recognition paradigm

False recognition results from the interplay of multiple cognitive processes, including verbatim memory, gist memory, phantom recollection, and response bias. In the current study, we modified the simplified Conjoint Recognition (CR) paradigm to investigate the way in which the valence of emotional stimuli affects the cognitive process and behavioral outcome of false recognition. In Study 1, we examined the applicability of the modification to the simplified CR paradigm and model. Twenty-six undergraduate students (13 females, aged 21.00±2.30years) learned and recognized both the large and small categories of photo objects. The applicability of the paradigm and model was confirmed by a fair goodness-of-fit of the model to the observational data and by their competence in detecting the memory differences between the large- and small-category conditions. In Study 2, we recruited another sample of 29 undergraduate students (14 females, aged 22.60±2.74years) to learn and recognize the categories of photo objects that were emotionally provocative. The results showed that negative valence increased false recognition, particularly the rate of false "remember" responses, by facilitating phantom recollection; positive valence did not influence false recognition significantly though enhanced gist processing.

Inconsistency effects in source memory and compensatory schema-consistent guessing

The attention–elaboration hypothesis of memory for schematically unexpected information predicts better source memory for unexpected than expected sources. In three source-monitoring experiments, the authors tested the occurrence of an inconsistency effect in source memory. Participants were presented with items that were schematically either very expected or very unexpected for their source. Multinomial processing tree models were used to separate source memory, item memory, and guessing bias. Results show an inconsistency effect in source memory accompanied by a compensatory schema-consistent guessing bias when expectancy strength is high, that is, when items are very expected or very unexpected for their source.

Analyzing Stochastic Dependence of Cognitive Processes in Multidimensional Source Recognition

Stochastic dependence among cognitive processes can be modeled in different ways, and the family of multinomial processing tree models provides a flexible framework for analyzing stochastic dependence among discrete cognitive states. This article presents a multinomial model of multidimensional source recognition that specifies stochastic dependence by a parameter for the joint retrieval of multiple source attributes together with parameters for stochastically independent retrieval. The new model is equivalent to a previous multinomial model of multidimensional source memory for a subset of the parameter space. An empirical application illustrates the advantages of the new multinomial model of joint source recognition. The new model allows for a direct comparison of joint source retrieval across conditions, it avoids statistical problems due to inflated confidence intervals and does not imply a conceptual imbalance between source dimensions. Model selection criteria that take model complexity into account corroborate the new model of joint source recognition.

Supra-personal cognitive control and metacognition

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We propose a ‘dual systems’ framework for thinking about metacognition.

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System 1 metacognition is for ‘intra-personal’ cognitive control.

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System 2 metacognition is for ‘supra-personal’ cognitive control.

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The latter allows agents to share metacognitive representations.

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This sharing creates benefits for the group and facilitates cumulative culture.

The human mind is extraordinary in its ability not merely to respond to events as they unfold but also to adapt its own operation in pursuit of its agenda. This ‘cognitive control’ can be achieved through simple interactions among sensorimotor processes, and through interactions in which one sensorimotor process represents a property of another in an implicit, unconscious way. So why does the human mind also represent properties of cognitive processes in an explicit way, enabling us to think and say ‘I’m sure’ or ‘I’m doubtful’? We suggest that ‘system 2 metacognition’ is for supra-personal cognitive control. It allows metacognitive information to be broadcast, and thereby to coordinate the sensorimotor systems of two or more agents involved in a shared task.

Increase of beta-amyloid and C-reactive protein in liver transplant recipients with postoperative cognitive dysfunction

BACKGROUND

Postoperative cognitive dysfunction (POCD) is an adverse condition characterized by declined cognitive functions following surgeries and anesthesia. POCD has been associated with increased hospital stay and mortality. There are histological similarities to Alzheimer's disease. Most early studies were conducted in patients receiving cardiac surgery. Since there is no information about POCD in liver transplant recipients, we measured the incidence of POCD in patients after liver transplantation and examined the correlation between neurological dysfunction and biological markers of dementia-based diseases.

METHODS

We studied 25 patients who had a liver transplan-tation between July 2008 and February 2009. Patients with prior encephalopathy or risk factors associated with the development of POCD were excluded from the study. Five validated neuropsychiatric tests were used for diagnosis. The diagnosis was based on one standard deviation decline in two of the five neuropsychiatric tests. The correlation between patient variables and the development of POCD was examined. Serum levels of beta-amyloid and C-reactive protein were measured by standard ELISA and compared between patients with and without POCD.

RESULTS

POCD was present in 11 (44%) of the 25 patients. Patients with POCD had significantly higher MELD scores, were more often Child-Pugh class C and received more blood transfusion during surgery. The serum beta-amyloid protein and C-reactive protein concentrations were significantly increased at 24 hours after surgery in the POCD group.

CONCLUSIONS

The incidence of POCD in our group of liver transplant patients was greater than that reported in other surgical patients. The increase in the serum biomarkers of dementia in the POCD patients supports the hypothesis that chronic cognitive defects are due to a process similar to that seen in Alzheimer's disease.

The role of metacognition in prospective memory: anticipated task demands influence attention allocation strategies

The present study investigates how individuals distribute their attentional resources between a prospective memory task and an ongoing task. Therefore, metacognitive expectations about the attentional demands of the prospective-memory task were manipulated while the factual demands were held constant. In Experiments 1a and 1b, we found attentional costs from a prospective-memory task with low factual demands to be significantly reduced when information about the low to-be-expected demands were provided, while prospective-memory performance remained largely unaffected. In Experiment 2, attentional monitoring in a more demanding prospective-memory task also varied with information about the to-be-expected demands (high vs. low) and again there were no equivalent changes in prospective-memory performance. These findings suggest that attention-allocation strategies of prospective memory rely on metacognitive expectations about prospective-memory task demands. Furthermore, the results suggest that attentional monitoring is only functional for prospective memory to the extent to which anticipated task demands reflect objective task demands.

Generation Difficulty and Memory for Source

The role of the word predictability from sentence context for reality monitoring and external source monitoring was examined in two experiments. In a reality-monitoring task, discrimination of an internal source was better in the hard than in the easy condition. It is probable that extra cognitive operations engaged during word generation in the hard condition were effective cues for reality-monitoring judgements. In contrast, in an external source-monitoring task (recognition memory of item's colour), the hard condition resulted in worse source memory for generated words than did the easy condition. This result is consistent both with an item–context trade-off hypothesis and a processing hypothesis. Greater effort involved at the time of generation might limit resources available for encoding of an external source. It is also possible that for generated words, the hard condition promoted conceptual processing instead of perceptual processing; therefore the item's colour was not effectively encoded.

Threshold models of recognition and the recognition heuristic

According to the recognition heuristic (RH) theory, decisions follow the recognition principle: Given a high validity of the recognition cue, people should prefer recognized choice options compared to unrecognized ones. Assuming that the memory strength of choice options is strongly correlated with both the choice criterion and recognition judgments, the RH is a reasonable strategy that approximates optimal decisions with a minimum of cognitive effort (Davis-Stober, Dana, & Budescu, 2010). However, theories of recognition memory are not generally compatible with this assumption. For example, some threshold models of recognition presume that recognition judgments can arise from two types of cognitive states: (1) certainty states in which judgments are almost perfectly correlated with memory strength and (2) uncertainty states in which recognition judgments reflect guessing rather than differences in memory strength. We report an experiment designed to test the prediction that the RH applies to certainty states only. Our results show that memory states rather than recognition judgments affect use of recognition information in binary decisions.

Influences of Source - Item Contingency and Schematic Knowledge on Source Monitoring: Tests of the Probability-Matching Account

The authors investigated conditions under which judgments in source-monitoring tasks are influenced by prior schematic knowledge. According to a probability-matching account of source guessing (Spaniol & Bayen, 2002), when people do not remember the source of information, they match source guessing probabilities to the perceived contingency between sources and item types. When they do not have a representation of a contingency, they base their guesses on prior schematic knowledge. The authors provide support for this account in two experiments with sources presenting information that was expected for one source and somewhat unexpected for another. Schema-relevant information about the sources was provided at the time of encoding. When contingency perception was impeded by dividing attention, participants showed schema-based guessing (Experiment 1). Manipulating source - item contingency also affected guessing (Experiment 2). When this contingency was schema-inconsistent, it superseded schema-based expectations and led to schema-inconsistent guessing.

Toward a complete decision model of item and source recognition: A discrete-state approach

In source-monitoring experiments, participants study items from two sources (A and B). At test, they are presented Source A items, Source B items, and new items. They are asked to decide whether a test item is old or new (item memory) and whether it is a Source A or a Source B item (source memory). Hautus, Macmillan, and Rotello (2008) developed models, couched in a bivariate signal detection framework, that account for item and source memory across several data sets collected in a confidence-rating response format. The present article enlarges the set of candidate models with a discrete-state model. The model is a straightforward extension of Bayen, Murnane, and Erdfelder's (1996) multinomial model of source discrimination to confidence ratings. On the basis of the evaluation criteria adopted by Hautus et al., it provides a better account of the data than do Hautus et al.'s models.

Selecting for memory? The influence of selective attention on the mnemonic binding of contextual information

Not all of what is experienced is remembered later. Behavioral evidence suggests that the manner in which an event is processed influences which aspects of the event will later be remembered. The present experiment investigated the neural correlates of "selective encoding," or the mechanisms that support the encoding of some elements of an event in preference to others. Event-related MRI data were acquired while volunteers selectively attended to one of two different contextual features of study items (color or location). A surprise memory test for the items and both contextual features was subsequently administered to determine the influence of selective attention on the neural correlates of contextual encoding. Activity in several cortical regions indexed later memory success selectively for color or location information, and this encoding-related activity was enhanced by selective attention to the relevant feature. Critically, a region in the hippocampus responded selectively to attended source information (whether color or location), demonstrating encoding-related activity for attended but not for nonattended source features. Together, the findings suggest that selective attention modulates the magnitude of activity in cortical regions engaged by different aspects of an event, and hippocampal encoding mechanisms seem to be sensitive to this modulation. Thus, the information that is encoded into a memory representation is biased by selective attention, and this bias is mediated by cortical-hippocampal interactions.

Multinomial Processing Tree Models

Multinomial processing tree (MPT) models have become popular in cognitive psychology in the past two decades. In contrast to general-purpose data analysis techniques, such as log-linear models or other generalized linear models, MPT models are substantively motivated stochastic models for categorical data. They are best described as tools (a) for measuring the cognitive processes that underlie human behavior in various tasks and (b) for testing the psychological assumptions on which these models are based. The present article provides a review of MPT models and their applications in psychology, focusing on recent trends and developments in the past 10 years. Our review is nontechnical in nature and primarily aims at informing readers about the scope and utility of MPT models in different branches of cognitive psychology.

Measuring Source Memory

Abstract. The investigation of source monitoring (SM) as a special faculty of episodic memory has gained much attention in recent years. However, several measures of source memory have been used in research practice that show empirical and theoretical shortcomings: First, they often confound various cognitive processes like source memory, item memory and response bias, and second, they do not do justice to the multitude of processes involved in SM according to the framework of Johnson, Hashtroudi, and Lindsay (1993) . We therefore review model-based measurement approaches, focusing on multinomial models, and we distinguish between theorizing about source memory and the pragmatics of source memory measurement as two partly separate goals of research. Whereas signal detection models seem to be more adequate theories of the underlying source monitoring process, multinomial models have some pragmatic advantages that nevertheless recommend them as viable measurement tools.