The spacing effect in remote information-integration category learning.

The present experiments examined whether the temporal distribution of procedural category learning experiences would impact learning outcomes. Participants completed the remote category learning experiments on a smartphone in one of two learning conditions: massed or distributed. Consistent with expectations, distributed learners in both experiments reached higher accuracy levels than massed learners. In Experiment 1 the effect disappeared after accounting for reaction time differences, suggesting that it was driven by attentional mechanisms. In Experiment 2, the spacing advantage was only present for previously studied items during a post-learning test, suggesting a role of consolidation. In both experiments, it seems likely that temporal spacing helped participants discover the optimal information-integration categorization strategy. These results suggest that adult category learning is facilitated by temporal spacing. Future work may further explore the effects of temporal and contextual distinctiveness of learning experiences on category learning outcomes.

Stress Elevates Frontal Midline Theta in Feedback-based Category Learning of Exceptions.

Adapting behavior based on category knowledge is a fundamental cognitive function, which can be achieved via different learning strategies relying on different systems in the brain. Whereas the learning of typical category members has been linked to implicit, prototype abstraction learning, which relies predominantly on prefrontal areas, the learning of exceptions is associated with explicit, exemplar-based learning, which has been linked to the hippocampus. Stress is known to foster implicit learning strategies at the expense of explicit learning. Procedural, prefrontal learning and cognitive control processes are reflected in frontal midline theta (4-8 Hz) oscillations during feedback processing. In the current study, we examined the effect of acute stress on feedback-based category learning of typical category members and exceptions and the oscillatory correlates of feedback processing in the EEG. A computational modeling procedure was applied to estimate the use of abstraction and exemplar strategies during category learning. We tested healthy, male participants who underwent either the socially evaluated cold pressor test or a nonstressful control procedure before they learned to categorize typical members and exceptions based on feedback. The groups did not differ significantly in their categorization accuracy or use of categorization strategies. In the EEG, however, stressed participants revealed elevated theta power specifically during the learning of exceptions, whereas the theta power during the learning of typical members did not differ between the groups. Elevated frontal theta power may reflect an increased involvement of medial prefrontal areas in the learning of exceptions under stress.

Cognitive changes in conjunctive rule-based category learning: An ERP approach.

When learning rule-based categories, sufficient cognitive resources are needed to test hypotheses, maintain the currently active rule in working memory, update rules after feedback, and to select a new rule if necessary. Prior research has demonstrated that conjunctive rules are more complex than unidimensional rules and place greater demands on executive functions like working memory. In our study, event-related potentials (ERPs) were recorded while participants performed a conjunctive rule-based category learning task with trial-by-trial feedback. In line with prior research, correct categorization responses resulted in a larger stimulus-locked late positive complex compared to incorrect responses, possibly indexing the updating of rule information in memory. Incorrect trials elicited a pronounced feedback-locked P300 elicited which suggested a disconnect between perception, and the rule-based strategy. We also examined the differential processing of stimuli that were able to be correctly classified by the suboptimal single-dimensional rule ("easy" stimuli) versus those that could only be correctly classified by the optimal, conjunctive rule ("difficult" stimuli). Among strong learners, a larger, late positive slow wave emerged for difficult compared with easy stimuli, suggesting differential processing of category items even though strong learners performed well on the conjunctive category set. Overall, the findings suggest that ERP combined with computational modelling can be used to better understand the cognitive processes involved in rule-based category learning.

Learning categories via rules and similarity: comparing adults and children.

Two experiments explored the different strategies used by children and adults when learning new perceptual categories. Participants were asked to learn a set of categories for which both a single-feature rule and overall similarity would allow for perfect performance. Other rules allowed for suboptimal performance. Transfer stimuli (Experiments 1 and 2) and single features (Experiment 2) were presented after training to help determine how the categories were learned. In both experiments, we found that adults made significantly more optimal rule-based responses to the test stimuli than children. Children showed a variety of categorization styles, with a few relying on the optimal rules, many relying on suboptimal single-feature rules, and only a few relying on overall family resemblance. We interpret these results within a multiple systems framework, and we argue that children show the pattern they do because they lack the necessary cognitive resources to fully engage in hypothesis testing, rule selection, and verbally mediated category learning.

Psychedelic Experiences and Mindfulness are Associated with Improved Wellbeing.

Both psychedelics and mindfulness are recently emerging topics of interest in academia and popular culture. The Prevalence of personal meditation practices and recreational psychedelic use has consistently increased in the past decade. While clinical work has shown both to improve long-term wellbeing, data on naturalistic applications of psychedelics and mindfulness are lacking. The current study examined the relationship between psychedelic use, mindfulness, and multi-faceted wellbeing as an outcome. Hierarchical regression was used to quantify these associations on a sample of people (N = 1,219) who engage in both meditation practices and psychedelic use. Results show that both mindfulness and mystical experiences are associated with substantial increases in wellbeing. Psychedelics were found to be a moderator of the relationship between mystical experience wellbeing. These data are among the first to establish a strong relationship between personal mindfulness practice, recreational psychedelic use, and overall psychological wellbeing in a naturalistic framework.

Expanding the basic science debate: the role of physics knowledge in interpreting clinical findings.

Current research suggests a role for biomedical knowledge in learning and retaining concepts related to medical diagnosis. However, learning may be influenced by other, non-biomedical knowledge. We explored this idea using an experimental design and examined the effects of causal knowledge on the learning, retention, and interpretation of medical information. Participants studied a handout about several respiratory disorders and how to interpret respiratory exam findings. The control group received the information in standard "textbook" format and the experimental group was presented with the same information as well as a causal explanation about how sound travels through lungs in both the normal and disease states. Comprehension and memory of the information was evaluated with a multiple-choice exam. Several questions that were not related to the causal knowledge served as control items. Questions related to the interpretation of physical exam findings served as the critical test items. The experimental group outperformed the control group on the critical test items, and our study shows that a causal explanation can improve a student's memory for interpreting clinical details. We suggest an expansion of which basic sciences are considered fundamental to medical education.

Reexamining the "brain drain" effect: A replication of Ward et al. (2017).

The present study was a pre-registered direct replication of Ward et al.'s (2017) second experiment (OSF pre-registration found at: https://osf.io/5fq4r). This replication assigned both smartphone location (on desk, in pocket/bag, or outside of the testing room) and smartphone power (on, or off) for a total of six conditions. Participants completed an automated operation span (OSpan) task, a Cue-Dependent Go/No-Go task, and the smartphone attachment and dependency inventory. It was hypothesized that performance on an attention-demanding task (i.e., the OSpan task) would be worse for those in closer proximity to their smartphone (on desk) and that those with greater smartphone attachment and dependency would have a larger "brain drain" effect. Using the same tasks and conditions as in Ward et al.'s (2017) second experiment, the present study found that the "brain drain" effect did not replicate: there was no difference between smartphone location conditions on performance on either the o-span task or the go/no-go task. These findings demonstrate that the mere presence of one's smartphone may not be enough to affect cognitive performance. Understanding these effects is crucial in a time where smartphones are a basic necessity.

National identity predicts public health support during a global pandemic.

Changing collective behaviour and supporting non-pharmaceutical interventions is an important component in mitigating virus transmission during a pandemic. In a large international collaboration (Study 1, N = 49,968 across 67 countries), we investigated self-reported factors associated with public health behaviours (e.g., spatial distancing and stricter hygiene) and endorsed public policy interventions (e.g., closing bars and restaurants) during the early stage of the COVID-19 pandemic (April-May 2020). Respondents who reported identifying more strongly with their nation consistently reported greater engagement in public health behaviours and support for public health policies. Results were similar for representative and non-representative national samples. Study 2 (N = 42 countries) conceptually replicated the central finding using aggregate indices of national identity (obtained using the World Values Survey) and a measure of actual behaviour change during the pandemic (obtained from Google mobility reports). Higher levels of national identification prior to the pandemic predicted lower mobility during the early stage of the pandemic (r = -0.40). We discuss the potential implications of links between national identity, leadership, and public health for managing COVID-19 and future pandemics.

An investigation of idiom processing advantage using translated familiar idioms.

The facilitatory effect shown in native speakers processing idiomatic phrases compared to matched novel phrases may be explained by a dual route model. This postulates that all phrases are processed literally at first, and if a phrase was recognized as familiar during processing, it would then be processed by a faster retrieval-route; if the phrase was not perceived as familiar, it would continue to be processed literally by the slower computation-route. The goals of the current project were to test the dual route model and to decipher the underlying mechanism in retrieval-route activation. English idioms and translated Chinese idioms were presented to both native English speakers and Chinese-English bilinguals in a random order. Participants listened to the idiom up until the last word (e.g., "draw a snake and add"), then saw either the idiom ending (e.g., "feet") or the matched control ending (e.g., "hair"); to which they made lexical decision and reaction times were recorded. We examined the priming effect for idioms compared to controls across the two language groups. The results showed that the two groups processed idioms of different origins differently. Native English speakers' faster responses to English idioms than controls supported a dual route model; however, both native English and bilingual speakers' faster responses to Chinese idioms than controls called for a less straightforward interpretation. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

The Mindful Lawyer: Investigating the Effects of Two Online Mindfulness Programs on Self-Reported Well-Being in the Legal Profession.

OBJECTIVES: Two studies were conducted to determine whether mindfulness meditation could be an effective tool for improving well-being among legal professionals-a population plagued by high rates of depression, anxiety, and stress. METHODS: Study 1. Legal professionals completed questionnaires before and after an 8-week mindfulness program. Study 2. Lawyers were randomly assigned to either an experimental or waitlist condition. Questionnaires were administered at the beginning of the study and after experimental participants had completed a 30-day intervention. RESULTS: Study 1. Participants reported significant improvements in mood, resilience, trait mindfulness, stress, anxiety, and depression over time. Study 2. Post-intervention, experimental participants reported better mood, lower levels of stress, and higher levels of non-reactivity and observing than waitlist participants. CONCLUSIONS: Mindfulness and meditation may effectively improve well-being among legal professionals.

Better mood and better performance. Learning rule-described categories is enhanced by positive mood.

Theories of mood and its effect on cognitive processing suggest that positive mood may allow for increased cognitive flexibility. This increased flexibility is associated with the prefrontal cortex and the anterior cingulate cortex, both of which play crucial roles in hypothesis testing and rule selection. Thus, cognitive tasks that rely on behaviors such as hypothesis testing and rule selection may benefit from positive mood, whereas tasks that do not rely on such behaviors should not be affected by positive mood. We explored this idea within a category-learning framework. Positive, neutral, and negative moods were induced in our subjects, and they learned either a rule-described or a non-rule-described category set. Subjects in the positive-mood condition performed better than subjects in the neutral- or negative-mood conditions in classifying stimuli from rule-described categories. Positive mood also affected the strategy of subjects who classified stimuli from non-rule-described categories.

Online Mindfulness Training Increases Well-Being, Trait Emotional Intelligence, and Workplace Competency Ratings: A Randomized Waitlist-Controlled Trial.

A randomized waitlist-controlled trial was conducted to assess the effectiveness of an online 8-week mindfulness-based training program in a sample of adults employed fulltime at a Fortune 100 company in the United States. Baseline measures were collected in both intervention and control groups. Following training, the intervention group (N = 37) showed statistically significant increases in resilience and positive mood, and significant decreases in stress and negative mood. There were no reported improvements in the wait-list control group (N = 65). Trait mindfulness and emotional intelligence (EI) were also assessed. Following the intervention mindfulness intervention participants reported increases in trait mindfulness and increases on all trait EI facets with the exception of empathy. The control group did not report any positive changes in these variables, and reported reductions in resilience and increases in negative mood. Finally, both self and colleague ratings of workplace competencies were collected in the intervention group only and provided preliminary evidence that mindfulness training enhanced performance on key leadership competencies including competencies related to decisiveness and creativity. The present study demonstrates the effectiveness of an online-based mindfulness training program for enhancing well-being, self-perceptions of emotional intelligence, and workplace performance.

Can causal explanations about endothelial pathophysiology benefit patient education? A cluster randomized controlled trial in cardiac rehabilitation.

OBJECTIVE: To examine whether explaining causal links among endothelial pathophysiology, cardiac risk factors, symptoms and health behaviors (termed causal information) enhances patients' depth of knowledge about cardiovascular disease self-management and their perceptions of the cardiac rehabilitation and secondary prevention (CRSP) program. METHODS: Newly referred CRSP patients (N = 94) were cluster randomized to usual care (control; UC) or usual care with causal information (intervention; UC + CI). Depth of knowledge (factual vs. deep) was measured with an adapted cognitive-reasoning task. Patients' cardiovascular knowledge and beliefs about the efficacy of a CRSP program were assessed. RESULTS: After controlling for education level, patients in UC + CI demonstrated deeper knowledge about cardiovascular management than did those in UC. The UC + CI group showed higher factual knowledge than their counterparts after covarying education, occupation status and BMI. The UC + CI group also rated the CRSP program as more credible than those in UC, after controlling for age. Deep knowledge mediated the relationship between group conditions and perceived credibility of CRSP. CONCLUSION: Causal information can enhance the depth of patients' understanding of cardiovascular disease management and perceived treatment credibility of the CRSP program. PRACTICE IMPLICATIONS: Explaining causal links may help improve patient education delivery and enhance patient engagement in CRSP.

Learning rule-described and non-rule-described categories: a comparison of children and adults.

Three experiments investigated the ability of 3-, 5-, and 8-year-old children as well as adults to learn sets of perceptual categories. Adults and children performed comparably on categories that could be learned by either a single-dimensional rule or by associative learning mechanisms. However, children showed poorer performance relative to adults in learning categories defined by a disjunctive rule and categories that were nonlinearly separable. Increasing the task demands for adults resulted in child-like performance on the disjunctive categories. Decreasing the task demands for children resulted in more adult-like performance on the disjunctive categories. The authors interpret these results within a multiple-systems approach to category learning and suggest that children have not fully developed the same explicit category learning system as adults.

Familiarization may minimize age-related declines in rule-based category learning.

Being able to categorize promotes cognitive economy by reducing the amount of information that an individual needs to remember. This ability is particularly important in older adulthood, when executive functioning abilities are known to decline. Prior research has shown that older adults can learn simple categories quite well but struggle when learning more complex categories which place a demand on executive function resources. The goal of Experiments 1 to 3 was to assess whether familiarizing older adults with complex rule-based or non-rule-based categories prior to beginning a categorization task would minimize age-related categorization deficits. Both rule-based and non-rule-based category learning improved among older adults following pretraining, but the improvements to rule-based learning were more drastic, suggesting that executive functioning plays a heavier role in rule-based category learning. Findings provide a potential solution for improving the category learning abilities of older adults. (PsycINFO Database Record

Explaining the causal links between illness management and symptom reduction: Development of an evidence-based patient education strategy.

OBJECTIVE: To determine whether explaining the causal links between illness management and symptom reduction would help younger and older adults learn and apply health information. METHOD: Ninety younger and 51 older adults read about a fictitious disease with or without explanations about the cause-and-effects (causal information) of illness management. A knowledge test (applied vs. factual items) was administered immediately and 1-week following the presentation of health booklets. Reading comprehension, working memory and health literacy were assessed as covariate variables. RESULTS: Younger adults outperformed older individuals on the applied and factual items at both time points. After controlling for covariates, causal information facilitated the comprehension and application of health information for younger but not older adults. Reading comprehension was the best predictor of test performance in the older sample. CONCLUSIONS: Providing an explanation of why illness management is effective for reducing symptomatology can help improve knowledge and application of health information for younger individuals. For older adults, lowering the verbal demands of patient education materials may be a better way to help them learn new health information. PRACTICE IMPLICATIONS: Use of causal information as a teaching strategy in patient education may enhance individuals' ability to learn about and implement self-care strategies.

Category learning in older adulthood: A study of the Shepard, Hovland, and Jenkins (1961) tasks.

Shepard, Hovland, and Jenkins (1961) examined the categorization abilities of younger adults using tasks involving single-dimensional rule learning, disjunctive rule learning, and family resemblance learning. The current study examined category learning in older adults using this well-known category set. Older adults, like younger adults, found category tasks with a single relevant dimension the easiest to learn. In contrast to younger adults, older adults found complex disjunctive rule-based categories harder to learn than family resemblance based categories. Disjunctive rule-based category learning appeared to be the most difficult for older adults to learn because this category set placed the heaviest demands on working memory, which is known to be a cognitive function that declines with normal aging. The authors discuss why complex rule-based category learning is considered more difficult for older adults to learn relative to younger adults, drawing parallels to developmental research.

Category learning in rhesus monkeys: a study of the Shepard, Hovland, and Jenkins (1961) tasks.

In influential research, R. N. Shepard, C. I. Hovland, and H. M. Jenkins (1961) surveyed humans' categorization abilities using tasks based in rules, exclusive-or (XOR) relations, and exemplar memorization. Humans' performance was poorly predicted by cue-conditioning or stimulus-generalization theories, causing Shepard et al. to describe it in terms of hypothesis selection and rule application that were possibly supported by verbal mediation. The authors of the current article surveyed monkeys' categorization abilities similarly. Monkeys, like humans, found category tasks with a single relevant dimension the easiest and perceptually chaotic tasks requiring exemplar memorization the most difficult. Monkeys, unlike humans, found tasks based in XOR relations very difficult. The authors discuss the character and basis of the species difference in categorization and consider whether monkeys are the generalization-based cognitive system that humans are not.

Distinguishing prototype-based and exemplar-based processes in dot-pattern category learning.

The authors contrast exemplar-based and prototype-based processes in dot-pattern categorization. In Experiments 1A and 1B, participants provided similarity ratings of dot-distortion pairs that were distortions of the same originating prototype. The results show that comparisons to training exemplars surrounding the prototype create flat typicality gradients within a category and small prototype-enhancement effects, whereas comparisons to a prototype center create steep typicality gradients within a category and large prototype-enhancement effects. Thus, prototype and exemplar theories make different predictions regarding common versions of the dot-distortion task. Experiment 2 tested these different predictions by having participants learn dot-pattern categories. The steep typicality gradients, the large prototype effects, and the superior fit of prototype models suggest that participants refer to-be-categorized items to a representation near the category's center (the prototype), and not to the training exemplars that surround the prototype.