Predicting the memorability of scene pictures: Improved accuracy through one's own experience.

There are conflicting findings regarding the accuracy of metamemory for scene pictures. Judgements of stimulus memorability in general (memorability judgements [MJs]) have been reported to be unpredictive of actual image memorability. However, other studies have found that judgements of learning (JOLs)-predictions of one's own later memory performance for recently studied items-are moderately predictive of people's own actual recognition memory for pictures. The current study directly compared the relative accuracy and cue basis of JOLs and MJs for scene pictures. In Experiments 1 and 2, participants completed an MJ task and a JOL task in counterbalanced order. In the MJ task, they judged the general memorability of each picture. In the JOL task, they studied pictures and made JOLs during a learning phase, followed by a recognition memory test. Results showed that MJs were predictive of general scene memorability and relied on the same cues as JOLs, but MJ accuracy considerably improved after the JOL task. Experiment 3 demonstrated that prior learning experiences drove this increase in MJ accuracy. This work demonstrates that people can predict not only their own future memory performance for scene pictures with moderate accuracy but also the general memorability of scene pictures. In addition, experiences with one's own learning and memory support the ability to assess scene memorability in general. This research contributes to our understanding of the basis and accuracy of different metamemory judgements.

What is the airspeed velocity of an unladen swallow? modeling numerical judgments of realistic stimuli.

Research on processes of multiple-cue judgments usually uses artificial stimuli with predefined cue structures, such as artificial bugs with four binary features like back color, belly color, gland size, and spot shape. One reason for using artifical stimuli is that the cognitive models used in this area need known cues and cue values. This limitation makes it difficult to apply the models to research questions with complex naturalistic stimuli with unknown cue structure. In two studies, building on early categorization research, we demonstrate how cues and cue values of complex naturalistic stimuli can be extracted from pairwise similarity ratings with a multidimensional scaling analysis. These extracted cues can then be used in a state-of-the-art hierarchical Bayesian model of numerical judgments. In the first study, we show that predefined cue structures of artificial stimuli are well recovered by an MDS analysis of similarity judgments and that using these MDS-based attributes as cues in a cognitive model of judgment data from an existing experiment leads to the same inferences as when the original cue values were used. In the second study, we use the same procedure to replicate previous findings from multiple-cue judgment literature using complex naturalistic stimuli.

Agency effects on the binding of event elements in episodic memory.

Representing events in episodic memory in a coherent manner requires that their constituent elements are bound together. So far, only few moderators of these binding processes have been identified. Here we investigate whether the presence of an agentic element in an event facilitates binding. The results from six experiments provided no evidence for a facilitating effect of agency on the binding of event elements. In addition, binding effects were only found when event elements were presented simultaneously, but not when they were presented sequentially pairwise, contrary to previous findings. The results suggest that the presence of an agentic element in an event does not, or only to a very limited extent, contribute to the formation of coherent memory representations and that additional processes may be required when binding event elements across temporarily divided encoding episodes. These findings add to a growing body of research regarding moderators and processes relevant for the binding of event elements in episodic memory. Explanations of these findings and directions for future research are discussed.

The binding structure of event elements in episodic memory and the role of animacy.

Experienced events consist of several elements which need to be bound together in memory to represent the event in a coherent manner. Given such bindings, the retrieval of one event element should be related to the successful retrieval of another element of the same event, thus leading to a stochastic dependency of the retrieval of event elements. The way in which bindings are structured is not yet clearly established and only few moderators of the binding of event elements have been identified. We present results from three experiments aiming to distinguish between an integrated binding structure, in which event elements are bound into a unitary representation, and a hierarchical binding structure, in which event elements are preferentially bound to specific types of elements. Experiments 2 and 3 were additionally designed to identify animacy, an entity's property of being alive, as a potential moderator of the binding of event elements. We also offer a new approach for modelling dependencies of the retrieval of event elements which mitigates some limitations of previous approaches. Consistent with previous literature, we found dependencies of the retrieval of event elements if all of an event's constituent associations were shown. We found mixed evidence for integrated or hierarchical binding structures but found dependency of the retrieval of event elements to be sensitive to the presence of animacy in an event. The results suggest that binding structures may vary depending on moderators such as animacy or event structure awareness. Theoretical implications and directions for future research are discussed.

"You don't know what this means to me" - Uncovering idiosyncratic influences on metamemory judgments.

Studies of the mind often focus on general effects on cognitive processes, whereas influences of idiosyncratic interactions between participants and items evade experimental control or assessment. For instance, assessments of one's own learning and memory processes-metamemory judgments-are attributed to people's reliance on commonly shared characteristics of study materials (e.g., word frequency) or learning conditions (e.g., number of study opportunities). By contrast, few studies have investigated how idiosyncratic information such as the personal significance of items affects memory and metamemory. We propose that hitherto elusive idiosyncratic influences on metamemory can be measured by the C component of Egon Brunswik's (1952) lens model. In two experiments, we made randomly chosen items personally significant (Experiment 1) or assessed the personal significance of items (Experiment 2). Personal significance increased both metamemory judgments and memory performance. Including personal significance as a predictor in the lens model reduced C, whereas including familiarity from a previous encounter did not. Hence, at least part of the lens model's C parameter captures idiosyncratic influences on metamemory. The C parameter may serve as a useful tool for future research.

Salience effects in information acquisition: No evidence for a top-down coherence influence.

The Integrated Coherence-Based Decision and Search (iCodes) model proposed by Jekel et al. (Psychological Review, 125 (5), 744-768, 2018) formalizes both decision making and pre-decisional information search as coherence-maximization processes in an interactive network. Next to bottom-up attribute influences, the coherence of option information exerts a top-down influence on the search processes in this model, predicting the tendency to continue information search with the currently most attractive option. This hallmark "attraction search effect" (ASE) has been demonstrated in several studies. In three experiments with 250 participants altogether, a more subtle prediction of an extended version of iCodes including exogenous influence factors was tested: The salience of information is assumed to have both a direct (bottom-up) and an indirect (top-down) effect on search, the latter driven by the match between information valence and option attractiveness. The results of the experiments largely agree in (1) showing a strong ASE, (2) demonstrating a bottom-up salience effect on search, but (3) suggesting the absence of the hypothesized indirect top-down salience effect. Hence, only two of three model predictions were confirmed. Implications for various implementations of exogenous factors in the iCodes model are discussed.

Exemplar-based judgment or direct recall: On a problematic procedure for estimating parameters in exemplar models of quantitative judgment.

Exemplar models are often used in research on multiple-cue judgments to describe the underlying process of participants' responses. In these experiments, participants are repeatedly presented with the same exemplars (e.g., poisonous bugs) and instructed to memorize these exemplars and their corresponding criterion values (e.g., the toxicity of a bug). We propose that there are two possible outcomes when participants judge one of the already learned exemplars in some later block of the experiment. They either have memorized the exemplar and their respective criterion value and are thus able to recall the exact value, or they have not learned the exemplar and thus have to judge its criterion value, as if it was a new stimulus. We argue that psychologically, the judgments of participants in a multiple-cue judgment experiment are a mixture of these two qualitatively distinct cognitive processes: judgment and recall. However, the cognitive modeling procedure usually applied does not make any distinction between these processes and the data generated by them. We investigated potential effects of disregarding the distinction between these two processes on the parameter recovery and the model fit of one exemplar model. We present results of a simulation as well as the reanalysis of five experimental data sets showing that the current combination of experimental design and modeling procedure can bias parameter estimates, impair their validity, and negatively affect the fit and predictive performance of the model. We also present a latent-mixture extension of the original model as a possible solution to these issues.

Metamemory for pictures of naturalistic scenes: Assessment of accuracy and cue utilization.

Memory for naturalistic pictures is exceptionally good. However, little is known about people's ability to monitor the memorability of naturalistic pictures. We report the first systematic investigation into the accuracy and basis of metamemory in this domain. People studied pictures of naturalistic scenes, predicted their chances of recognizing each picture at a later test (judgment of learning, JOL), and completed a recognition memory test. Across three experiments, JOLs revealed substantial accuracy. This was due to people basing their JOLs on multiple cues, most of which predicted recognition memory. Identified cues include intrinsic picture attributes (e.g., peacefulness of scenes; scenes with or without persons) and extrinsic aspects of the study situation (e.g., presentation frequency; semantic distinctiveness of scenes with respect to the context). This work provides a better understanding of metamemory for pictures and it demonstrates close parallels between metamemory for naturalistic scenes and verbal materials.

The Love of Large Numbers Revisited: A Coherence Model of the Popularity Bias.

Preferences are often based on social information such as experiences and recommendations of other people. The reliance on social information is especially relevant in the case of online shopping, where buying decisions for products may often be based on online reviews by other customers. Recently, Powell, Yu, DeWolf, and Holyoak (2017, Psychological Science, 28, 1432-1442) showed that, when deciding between two products, people do not consider the number of product reviews in a statistically appropriate way as predicted by a Bayesian model but rather exhibit a bias for popular products (i.e., products with many reviews). In the present work, we propose a coherence model of the cognitive mechanism underlying this empirical phenomenon. The new model assumes that people strive for a coherent representation of the available information (i.e., the average review score and the number of reviews). To test this theoretical account, we reanalyzed the data of Powell and colleagues and ran an online study with 244 participants using a wider range of stimulus material than in the original study. Besides replicating the popularity bias, the study provided clear evidence for the predicted coherence effect, that is, decisions became more confident and faster when the available information about popularity and quality was congruent.

Cue integration in metamemory judgements is strategic.

People base judgements about their own memory processes on probabilistic cues such as the characteristics of study materials and study conditions. While research has largely focused on how single cues affect metamemory judgements, a recent study by Undorf, Söllner, and Bröder found that multiple cues affected people's predictions of their future memory performance (judgements of learning, JOLs). The present research tested whether this finding was indeed due to strategic integration of multiple cues in JOLs or, alternatively, resulted from people's reliance on a single unified feeling of ease. In Experiments 1 and 2, we simultaneously varied concreteness and emotionality of word pairs and solicited (a) pre-study JOLs that could be based only on the manipulated cues and (b) immediate JOLs that could be based both on the manipulated cues and on a feeling of ease. The results revealed similar amounts of cue integration in pre-study JOLs and immediate JOLs, regardless of whether cues varied in two easily distinguishable levels (Experiment 1) or on a continuum (Experiment 2). This suggested that people strategically integrated multiple cues in their immediate JOLs. Experiment 3 provided further evidence for this conclusion by showing that false explicit information about cue values affected immediate JOLs over and above actual cue values. Hence, we conclude that cue integration in JOLs involves strategic processes.

Metamemory viewed through the judgment lens.

Metamemory research makes extensive use of judgments, such as judgments of learning (JOLs). In a JOL, people predict their chance of remembering a recently studied item in a memory test. There is a general agreement that JOLs rely on probabilistic cues that are combined in an inference process. Accuracy as measured by the gamma correlation between JOLs and actual performance is usually mediocre, suggesting limited metacognitive abilities. In judgment and decision-making research, Brunswik's lens model is often used to decompose judgmental accuracy: A matching index G measures how adequately people's cue weights match the optimal weights, two reliability indices assess the predictability of judgments and environment, respectively, and a nonlinear component measures systematic variance not captured by the cues. We employed the lens model equation for the first time to analyze four published and one new JOL data sets. There was considerable interindividual variance in metamemory monitoring. Although gamma was on average higher than the Pearson correlation, it still underestimated metacognitive ability in terms of matching (G). Also, the nonlinear component was considerably higher than in other judgment domains, pointing to substantial item-person-interactions that we interpret as idiosyncratic encoding strategies. An exploratory cluster analysis suggests different metacognitive strategies used by subgroups of participants. We suggest the lens model as a potentially promising tool in metacognition research.

Testing Hypotheses About Binding in Context Memory With a Hierarchical Multinomial Modeling Approach.

In experiments on multidimensional source memory, a stochastic dependency of source memory for different facets of an episode has been repeatedly demonstrated. This may suggest an integrated representation leading to mutual cuing in context retrieval. However, experiments involving a manipulated reinstatement of one source feature have often failed to affect retrieval of the other feature, suggesting unbound features or rather item-feature binding. The stochastic dependency found in former studies might be a spurious correlation due to aggregation across participants varying in memory strength. We test this artifact explanation by applying a hierarchical multinomial model. Observing stochastic dependency when accounting for interindividual differences would rule out the artifact explanation. A second goal is to elucidate the nature of feature binding: Contrasting encoding conditions with integrated feature judgments versus separate feature judgments are expected to induce different levels of stochastic dependency despite comparable overall source memory if integrated representations include feature-feature binding. The experiment replicated the finding of stochastic dependency and, thus, ruled out an artifact interpretation. However, we did not find different levels of stochastic dependency between conditions. Therefore, the current findings do not reveal decisive evidence to distinguish between the feature-feature binding and the item-context binding account.

Noncompliance with online mood manipulations using film clips: how to detect and control for it.

The reliability of online mood manipulations is potentially undermined by participants' noncompliance behavior, e.g., skipping a part of the experiment or switching between web pages during the mood manipulation. The goal of the current research is to investigate (1) whether and how mood manipulations are threatened by noncompliance behavior, (2) whether it is confounded with the induced mood state as predicted by Affect Regulation Theory, and (3) what measures can be taken to control for the noncompliance. In two online-experiments, noncompliance behavior was assessed during the mood manipulation with movie clips by tracking interruptions of watching and page switches. The results support the affect regulation hypothesis demonstrating that people confronted with negative emotional content interrupted watching the video and switched between pages more often than people with positive content. Methodologically, this causes a threat to the internal validity of internet-based mood manipulation studies. To decrease the risk of noncompliance, the current study recommends to block skipping a part of the mood manipulation, detect page focus events and measure the time people stay on a page.

A new and unique prediction for cue-search in a parallel-constraint satisfaction network model: The attraction search effect.

A common assumption of many established models for decision making is that information is searched according to some prespecified search rule. While the content of the information influences the termination of search, usually specified as a stopping rule, the direction of search is viewed as being independent of the valence of the retrieved information. We propose an extension to the parallel constraint satisfaction network model (iCodes: integrated coherence-based decision and search), which assumes-in contrast to prespecified search rules-that the valence of available information influences search of concealed information. Specifically, the model predicts an attraction search effect in that information search is directed toward the more attractive alternative given the available information. In 3 studies with participants choosing between two options based on partially revealed probabilistic information, the attraction search effect was consistently observed for environments with varying costs for information search although the magnitude of the effect decreased with decreasing monetary search costs. We also find the effect in reanalyses of 5 published studies. With iCodes, we propose a fully specified formal model and discuss implications for theory development within competing modeling frameworks. (PsycINFO Database Record (c) 2018 APA, all rights reserved).

The effect of mood on integration of information in a multi-attribute decision task.

The exact effect of different moods on choosing strategies in multi-attribute decision tasks is yet unknown since previous work has found apparently contradicting results. Furthermore, different theoretical accounts lead to opposite expectations. While the "mood-as-information" theory states that a positive mood leads to heuristic processing of information and application of non-compensatory strategies, the "broaden-and-build" theory expects more non-compensatory decision-making in a negative mood. To test the predictions of those two theories, we conducted two experimental studies, in which both the mood and the type of information search were manipulated. The results rather support "mood-as-information" theory, so participants in the positive mood made non-compensatory choices more often than participants in the negative mood. The effect was only present in the open information board, where the information was presented simultaneously, but not in the closed Mouselab, where the information had to be searched in a sequential manner.

Simultaneous utilization of multiple cues in judgments of learning.

There is much evidence that metacognitive judgments, such as people's predictions of their future memory performance (judgments of learning, JOLs), are inferences based on cues and heuristics. However, relatively little is known about whether and when people integrate multiple cues in one metacognitive judgment or focus on a single cue without integrating further information. The current set of experiments systematically addressed whether and to what degree people integrate multiple extrinsic and intrinsic cues in JOLs. Experiment 1 varied two cues: number of study presentations (1 vs. 2) and font size (18 point vs. 48 point). Results revealed that people integrated both cues in their JOLs. Experiment 2 demonstrated that the two word characteristics concreteness (abstract vs. concrete) and emotionality (neutral vs. emotional) were integrated in JOLs. Experiment 3 showed that people integrated all four cues in their JOLs when manipulated simultaneously. Finally, Experiment 4 confirmed integration of three cues that varied on a continuum rather than in two easily distinguishable levels. These results demonstrate that people have a remarkable capacity to integrate multiple cues in metacognitive judgments. In addition, our findings render an explanation of cue effects on JOLs in terms of demand characteristics implausible.

Neurodevelopmental Outcome in Children With Single Ventricle After Total Cavopulmonary Connection.

BACKGROUND: The purpose of the present study was to assess a broad range of neuropsychological outcome variables in children with functionally single ventricle hearts after a total cavopulmonary connection and to examine potential risk factors for impaired neurodevelopment. PATIENTS & METHOD: A total of 104 patients aged 2 to 20 years underwent follow-up standardized psychological testing, including measures of intelligence, motor function, visuospatial abilities, behavioural outcome and health-related quality of life. RESULTS: With a mean fluid intelligence score of 93.0 and a mean crystallized intelligence score of 92.3, patients scored significantly lower on tests of intelligence compared to the general population (p<0.001). Reduced motor function was found in 34% of the patients (p<0.001), impaired visuospatial abilities in 51%; parents reported significantly more behavioural problems (p<0.001). There was no difference in the self-reported quality of life compared to the general population. Risk factors for reduced fluid intelligence were deep hypothermic circulatory arrest times (p=0.03) and complications causing suboptimal brain perfusion prior to the total cavopulmonary connection (e. g. seizures; p=0.04). CONCLUSIONS: Patients with functionally single ventricle hearts palliated with a total cavopulmonary connection are at an increased risk of neurodevelopmental delays and behavioural disorders. Nevertheless, they adapt well in terms of quality of life. Early diagnostics and interventions are necessary when developmental delays are suspected.

On a problematic procedure to manipulate response biases in recognition experiments: the case of "implied" base rates.

The experimental manipulation of response biases in recognition-memory tests is an important means for testing recognition models and for estimating their parameters. The textbook manipulations for binary-response formats either vary the payoff scheme or the base rate of targets in the recognition test, with the latter being the more frequently applied procedure. However, some published studies reverted to implying different base rates by instruction rather than actually changing them. Aside from unnecessarily deceiving participants, this procedure may lead to cognitive conflicts that prompt response strategies unknown to the experimenter. To test our objection, implied base rates were compared to actual base rates in a recognition experiment followed by a post-experimental interview to assess participants' response strategies. The behavioural data show that recognition-memory performance was estimated to be lower in the implied base-rate condition. The interview data demonstrate that participants used various second-order response strategies that jeopardise the interpretability of the recognition data. We thus advice researchers against substituting actual base rates with implied base rates.

Walking away from depression-motor activity increases ratings of mood and incentive drive in patients with major depression.

Reduced motor activity is associated with depression. Lewinsohn's cognitive behavioural model of depression assumes a lack of positive experience due to a reduced level of activity as a key aspect of depression. The acute relationship between motor activity and mood as well as between motor activity and incentive drive (the motivation to engage in activities) is unknown. An augmentation of mood and incentive drive could precede or follow motor activity. We examined (1) whether motor activity would be correlated with the course of depression and (2) the temporal relationship between motor activity and acute changes in mood and incentive drive. Motor activity was measured with actigraphy in 12 patients with depression for one week. Severity of depression was assessed before and at the end of the study with depression rating scales. The patients reported mood and incentive drive once per hour. With lag sequential analysis, the temporal relationship between motor activity and mood and incentive drive was evaluated. Higher motor activity was associated with depression improvement. Motor activity had an acute association with mood and incentive drive, especially one hour after activity. The results support the Lewinsohn's model of depression and underline the impact of behavioural activation in antidepressant treatment.

Distractor-based stimulus-response bindings retrieve decisions independent of motor programs.

Research on the distractor response binding (DRB) effect (Frings, Rothermund, & Wentura, 2007) suggests that distractors are integrated with target responses into an event file or stimulus-response (SR) episode. The whole event file is retrieved when the distractor is repeated and as a consequence distractors can retrieve previous responses. Nett, Bröder, and Frings (2015) argued that even decisions under uncertainty are integrated into event files and can later on be retrieved by distractors. However, their paradigm did not allow disentangling the retrieval of decisions from the retrieval of motor programs. Here we disentangled the retrieval of decisions and motor programs by assuring that retrieved decisions were not confounded by the repetitions of motor programs. In particular, in two experiments using a sequential prime-probe distractor priming task participants used other keys or other effectors for prime and probe responses; nevertheless repeated task-irrelevant distractors increased the probability that participants repeated the prime decision irrespective of motor programs. Thus, decision features can become part of an event-file and directly be retrieved by irrelevant information suggesting that bindings have an even higher flexibility and ubiquity than previously assumed.