In two minds: dual-process accounts of reasoning

Decision-making under stress: Executive functions, analytical intelligence, somatic markers, and personality traits in young adults

The main goal of the study was to scrutinize mediating and moderating mechanisms identified in line with the predictions of Somatic Marker Hypothesis (SMH) and Dual Process Theory of the effect of acute stress on decision making. The sample group of the research comprised of 61 (31 females, 30 males) healthy university students aged between 18 and 23 (x̄ = 21, SD = 1.28). Data measurement tools were Skin Conductance Response Measurement, Iowa Gambling Test, Wisconsin Card Sorting Test, Wechsler Memory Scale-III Spatial Span Subtest, Stroop Test TBAG Form, Wechsler Adult Intelligence Matrix Reasoning Subtest, Stress Rating Scale, The State-Trait Anxiety Inventory, Big Five Personality Traits Scale, Ways of Coping Inventory, Beck Depression Inventory. The findings indicated that acute stress gives rise to decision-making failures by suppressing the SCR emphasized in SMH and mental processes defined in System 2. Furthermore, neuroticism had a moderating role in the relationship between stress and decision-making. Accordingly, the abovementioned theories cannot separately be sufficient to explain decision-making under stress; but, the predictions of these theories can complement each other to thoroughly make out the physiological and cognitive mechanisms of decision-making.

Intrinsic motivation in cognitive architecture: intellectual curiosity originated from pattern discovery

Studies on reinforcement learning have developed the representation of curiosity, which is a type of intrinsic motivation that leads to high performance in a certain type of tasks. However, these studies have not thoroughly examined the internal cognitive mechanisms leading to this performance. In contrast to this previous framework, we propose a mechanism of intrinsic motivation focused on pattern discovery from the perspective of human cognition. This study deals with intellectual curiosity as a type of intrinsic motivation, which finds novel compressible patterns in the data. We represented the process of continuation and boredom of tasks driven by intellectual curiosity using "pattern matching," "utility," and "production compilation," which are general functions of the adaptive control of thought-rational (ACT-R) architecture. We implemented three ACT-R models with different levels of thinking to navigate multiple mazes of different sizes in simulations, manipulating the intensity of intellectual curiosity. The results indicate that intellectual curiosity negatively affects task completion rates in models with lower levels of thinking, while positively impacting models with higher levels of thinking. In addition, comparisons with a model developed by a conventional framework of reinforcement learning (intrinsic curiosity module: ICM) indicate the advantage of representing the agent's intention toward a goal in the proposed mechanism. In summary, the reported models, developed using functions linked to a general cognitive architecture, can contribute to our understanding of intrinsic motivation within the broader context of human innovation driven by pattern discovery.

Understanding reaction to corporate activism: The moderating role of polarization

In our polarized societies, more companies are taking a stand on divisive sociopolitical issues. However, given the mixed findings from previous studies, it remains unclear whether Corporate Activism (CA) is more likely to hurt or help a company's performance and reputation, or shape the public's attitudes toward the sociopolitical issue involved. To better understand the impact of CA in polarized societies, it is valuable to study moderating factors, especially those linked to polarization. A meta-analysis of 72 scholarly works is conducted to examine the impact of CA on various outcomes (e.g. ads and social media engagement, cognitive and attitudinal reactions, public's intentions and actions, emotional reactions, social and ethical engagement, workplace, and employee perceptions) and the role of moderators (a sociopolitical issue's political leaning and controversy level, political orientation of the target audience, key demographics). The analysis reveals a positive, albeit small, effect size (0.085 [95% CI (0.0542, 0.1158)]) with the most impact on two outcomes: cognitive and attitudinal reactions, and emotional reactions. It further reveals that companies adopting liberal-leaning CAs elicit more favorable responses than those adopting conservative CAs and that liberals respond positively to CA, while conservatives are more neutral. However, when there is alignment between the CA's political leaning and the audience's political orientation, conservatives have a stronger positive response than liberals. Also, younger audiences view CA more positively. Finally, per national culture, while power distance and individualism positively moderate the reaction to CA, uncertainty avoidance has a negative effect.

Selective processing of clinical information related to correct and incorrect diagnoses: An eye-tracking experiment

INTRODUCTION

Diagnostic errors are often attributed to erroneous selection and interpretation of patients' clinical information, due to either cognitive biases or knowledge deficits. However, whether the selection or processing of clinical information differs between correct and incorrect diagnoses in written clinical cases remains unclear. We hypothesised that residents would spend more time processing clinical information that was relevant to their final diagnosis, regardless of whether their diagnosis was correct.

METHODS

In this within-subjects eye-tracking experiment, 19 internal or emergency medicine residents diagnosed 12 written cases. Half the cases contained a correct diagnostic suggestion and the others an incorrect suggestion. We measured how often (i.e. number of fixations) and how long (i.e. dwell time) residents attended to clinical information relevant for either suggestion. Additionally, we measured confidence and time to diagnose in each case.

RESULTS

Residents looked longer and more often at clinical information relevant for the correct diagnostic suggestion if they received an incorrect suggestion and were able to revise this suggestion to the correct diagnosis (dwell time: M: 6.3 seconds, SD: 5.1 seconds; compared to an average of 4 seconds in other conditions; number of fixations: M: 25 fixations, SD: 20; compared to an average of 16-17 fixations). Accordingly, time to diagnose was longer in cases with an incorrect diagnostic suggestion (M: 86 seconds, SD: 47 seconds; compared to an average of 70 seconds in other conditions). Confidence (range: 64%-67%) did not differ depending on residents' accuracy or the diagnostic suggestion.

DISCUSSION

Selectivity in information processing was not directly associated with an increase in diagnostic errors but rather seemed related to recognising and revising a biased suggestion in favour of the correct diagnosis. This could indicate an important role for case-specific knowledge in avoiding biases and diagnostic errors. Future research should examine information processing for other types of clinical information.

The role of facial cues in signalling cooperativeness is limited and nuanced

Humans display a remarkable tendency to cooperate with strangers; however, identifying prospective cooperation partners accurately before entering any new relationship is essential to mitigate the risk of being exploited. Visual appearance, as inferrable, for example, from facial images on job portals and dating sites, may serve as a potential signal of cooperativeness. This experimental study examines whether static images enable the correct detection of an individual's propensity to cooperate. Participants first played the Prisoner's Dilemma (PD) game, a standard cooperation task. Subsequently, they were asked to predict the cooperativeness of participants from a prior PD study relying solely on their static facial photographs. While our main results indicate only marginal accuracy improvements over random guessing, a more detailed analysis reveals that participants were more successful at identifying cooperative tendencies similar to their own. Despite no detectable main effect in our primary treatment variations (time pressure versus time delay), participants exhibited increased accuracy in identifying male cooperators under time pressure. These findings point towards a limited yet nuanced role of static facial images in predicting cooperativeness, advancing our understanding of non-behavioral cues in cooperative interactions.

Probabilistic Representation Differences between Decisions from Description and Decisions from Experience

For mathematically identical risky decisions, different choices can be made depending on whether information about outcomes and their probabilities is learned by description or by experience, known as the description-experience gap. However, it is unclear whether different ways of obtaining information lead to different representation forms of probability, resulting in a description-experience gap. The current study investigates the representation formats of the alternative options' probability for decisions from description and decisions from experience. The experiments measured the relative error of probability estimation in percentage and frequency forms for the two types of decisions in low and medium-to-large probability situations. The results demonstrate that for decisions from description in medium-to-large probability scenarios, the estimation error was lower in percentage form than in frequency form, with equally near-perfect estimates in small-probability scenarios. Nevertheless, in decisions from experience, the accuracy of estimation in percentage form was lower than in frequency form in both low and medium-to-large probability situations. This suggests that decision makers in decisions from description tend to represent the probability information in percentage form. However, in decisions from experience, they tend to represent probability in frequency form. The utilization of different formats for probability representation is one of the factors that contribute to the description-experience gap.

What Affects the Value of Our Time? The Case of Buying a Present vs. Buying for Ourselves and the Impact of Decision-Making Styles

We study how the buying purpose affects the trade-off between time and money. We consider the case of buying something for ourselves versus buying a gift and the decision whether to spend time traveling to a cheaper store to save money. We hypothesized that when purchasing a gift, people make less effort to save money, and therefore will be less willing to spend time traveling to a cheaper store when they buy a gift. In experiments with several scenarios, we fail to find support for this hypothesis. We also explore the impact of telling subjects that the purchase is made abroad. This is hypothesized to increase the valuation of the buyer's time. We also hypothesize that the interaction of being abroad and buying a gift will be negative. The data support both hypotheses. Subjects answered 15 questions about their decision-making style (rational, intuitive, and spontaneous). Subjects with more rational decision-making exhibit lower time value, which is likely to be closer to the real one. Subjects with more rational decision-making also show more strongly that time abroad is more valuable. These results suggest that questions about decision-making style are correlated with decision-making in scenarios of realistic purchase decisions.

Early morning hour and evening usage habits increase misinformation-spread

Social media manipulation poses a significant threat to cognitive autonomy and unbiased opinion formation. Prior literature explored the relationship between online activity and emotional state, cognitive resources, sunlight and weather. However, a limited understanding exists regarding the role of time of day in content spread and the impact of user activity patterns on susceptibility to mis- and disinformation. This work uncovers a strong correlation between user activity time patterns and the tendency to spread potentially disinformative content. Through quantitative analysis of Twitter (now X) data, we examine how user activity throughout the day aligns with diurnal behavioural archetypes. Evening types exhibit a significantly higher inclination towards spreading potentially disinformative content, which is more likely at night-time. This knowledge can become crucial for developing targeted interventions and strategies that mitigate misinformation spread by addressing vulnerable periods and user groups more susceptible to manipulation.

Single session and repeated anodal transcranial direct current stimulation over the right dorsolateral prefrontal cortex increases reflective thinking but not working memory updating performance

Background

Anodal transcranial direct current stimulation (tDCS) over the right dorsolateral prefrontal cortex (DLPFC) has shown to have effects on different domains of cognition yet there is a gap in the literature regarding effects on reflective thinking performance.

Objective

The current study investigated if single session and repeated anodal tDCS over the right DLPFC induces effects on judgment and decision-making performance and whether these are linked to working memory (updating) performance or cognitive inhibition.

Methods

Participants received anodal tDCS over the right DLPFC once (plus sham tDCS in a second session) or twice (24 h apart). In the third group participants received a single session of sham stimulation only. Cognitive characteristic measures were administered pre-stimulation (thinking disposition, impulsivity, cognitive ability). Experimental tasks included two versions of the Cognitive Reflection Test (numeric vs verbal-CRT), a set of incongruent base-rate vignettes, and two working memory tests (Sternberg task and n-back task). Forty-eight participants (mean age = 26.08 ± 0.54 years; 27 females) were recruited.

Results

Single sessions of tDCS were associated with an increase in reflective thinking performance compared to the sham conditions, with stimulation improving scores on incongruent base rate tasks as well as marginally improving numeric CRT scores (compared to sham), but not thinking tasks without a numeric component (verbal-CRT). Repeated anodal stimulation only improved numeric CRT scores. tDCS did not increase working memory (updating) performance. These findings could not be explained by a practice effect or a priori differences in cognitive characteristics or impulsivity across the experimental groups.

Conclusion

The current results demonstrate the involvement of the right DLPFC in reflective thinking performance which cannot be explained by working memory (updating) performance or general cognitive characteristics of participants.

Measuring climate change perception in China using mental images: A nationwide open-ended survey

Current knowledge about public climate change perception mainly covers belief, concern, and attitudes. However, how this discourse is interpreted using individuals' own frame of reference remains largely unknown, particularly in many large emitters from non-Annex I countries such as China. This study, for the first time, performs a nationwide open-ended survey covering 4,037 respondents and collected 12,100 textual answers. Using a semiautomated coding method, we find seven mental images that exclusively represent the Chinese interpretation of the climate change issue, including global warming, distant icons, natural disasters, environmental degradation, cause, solution, and weather. Analysis of influencing factors shows that females, those with lower education levels, lower income, and older individuals tend to connect climate change with natural weather phenomena. Younger and well-educated residents in developed cities are more aware of various consequences and anthropogenic causes of climate change. People with stronger climate change beliefs, policy support, and personal experience of extreme weather are more likely to mention disastrous impacts, carbon emission as causes, and potential solutions. Employing the multilevel regression and post-stratification technique, we map the prevalence of mental images in China at the prefecture-city level. The results reveal significant geographical heterogeneity, with estimated national means ranging from a high of 55% (weather) to a low of 11% (solution). Our findings reveal diverse perspectives and a widespread misconception of climate change in China, suggesting the need for tailored clarification strategies to gain public consent.

An Integrated theory of false insights and beliefs under psychedelics

Psychedelics are recognised for their potential to re-orient beliefs. We propose a model of how psychedelics can, in some cases, lead to false insights and thus false beliefs. We first review experimental work on laboratory-based false insights and false memories. We then connect this to insights and belief formation under psychedelics using the active inference framework. We propose that subjective and brain-based alterations caused by psychedelics increases the quantity and subjective intensity of insights and thence beliefs, including false ones. We offer directions for future research in minimising the risk of false and potentially harmful beliefs arising from psychedelics. Ultimately, knowing how psychedelics may facilitate false insights and beliefs is crucial if we are to optimally leverage their therapeutic potential.

The developmental cognitive mechanism of learning algebraic rules from the dual-process theory perspective

Rule learning is an important ability that enables human beings to adapt to nature and develop civilizations. There have been many discussions on the mechanism and characteristics of algebraic rule learning, but there are still controversies due to the lack of theoretical guidance. Based on the dual-process theory, this study discussed the following arguments for algebraic rule learning across human and animal studies: whether algebraic rule learning is simply Type 1 processing, whether algebraic rule learning is a domain-general ability, whether algebraic rule learning is shared by humans and animals, and whether an algebraic rule is learned consciously. Moreover, we propose that algebraic rule learning is possibly a cognitive process that combines both Type 1 and Type 2 processing. Further exploration is required to establish the essence and neural basis of algebraic rule learning.

The Roles of Rule Type and Word Term in the Deductive Reasoning of Adults with and without Dyslexia

Despite its importance to everyday functioning, reasoning is underexplored in developmental dyslexia. The current study investigated verbal deductive reasoning on the Wason selection task, not previously used in dyslexia research despite its well-established pedigree. Reasoning rule was manipulated, with the conditional rules varying in the logical values presented. The word frequency and imageability of the word terms was also manipulated. Twenty-six adults with dyslexia and 31 adults without dyslexia completed Wason selection task problems. No group difference in reasoning accuracy or completion time was found. However, the participants were most accurate when reasoning with the rule type "If p, then not q" and least accurate with the rule type "If p then q". More trials were also answered correctly when the word terms were highly imageable but of average word frequency. These findings are in line with the general reasoning literature. Dyslexia status did not interact with either rule type or word term type. The study expands upon previous research by testing verbal deductive reasoning in dyslexia, highlighting the role of imageability in facilitating reasoning performance for all, regardless of the presence or absence of dyslexia. Implications for the design of educational materials are considered.

Heightened SAM- and HPA-axis activity during acute stress impairs decision-making: A systematic review on underlying neuropharmacological mechanisms

Individuals might be exposed to intense acute stress while having to make decisions with far-reaching consequences. Acute stress impairs processes required for decision-making by activating different biological stress cascades that in turn affect the brain. By knowing which stress system, brain areas, and receptors are responsible for compromised decision-making processes, we can effectively find potential pharmaceutics that can prevent the deteriorating effects of acute stress. We used a systematic review procedure and found 44 articles providing information on this topic. Decision-making processes could be subdivided into 4 domains (cognitive, motivational, affective, and predictability) and could be referenced to specific brain areas, while mostly being impaired by molecules associated with the sympathetic-adrenal-medullar and hypothalamic-pituitary-adrenal axes. Potential drugs to alleviate these effects included α1 and β adrenoceptor antagonists, α2 adrenoceptor agonists, and corticotropin releasing factor receptor1/2 antagonists, while consistent stress-like effects were found with yohimbine, an α2 adrenoceptor antagonist. We suggest possible avenues for future research.

Language models, like humans, show content effects on reasoning tasks

reasoning is a key ability for an intelligent system. Large language models (LMs) achieve above-chance performance on abstract reasoning tasks but exhibit many imperfections. However, human abstract reasoning is also imperfect. Human reasoning is affected by our real-world knowledge and beliefs, and shows notable "content effects"; humans reason more reliably when the semantic content of a problem supports the correct logical inferences. These content-entangled reasoning patterns are central to debates about the fundamental nature of human intelligence. Here, we investigate whether language models-whose prior expectations capture some aspects of human knowledge-similarly mix content into their answers to logic problems. We explored this question across three logical reasoning tasks: natural language inference, judging the logical validity of syllogisms, and the Wason selection task. We evaluate state of the art LMs, as well as humans, and find that the LMs reflect many of the same qualitative human patterns on these tasks-like humans, models answer more accurately when the semantic content of a task supports the logical inferences. These parallels are reflected in accuracy patterns, and in some lower-level features like the relationship between LM confidence over possible answers and human response times. However, in some cases the humans and models behave differently-particularly on the Wason task, where humans perform much worse than large models, and exhibit a distinct error pattern. Our findings have implications for understanding possible contributors to these human cognitive effects, as well as the factors that influence language model performance.

The influence of viewing time on visual diagnostic accuracy: Less is more

BACKGROUND

Understanding the factors that contribute to diagnostic errors is critical if we are to correct or prevent them. Some scholars influenced by the default interventionist dual-process theory of cognition (dual-process theory) emphasise a narrow focus on individual clinician's faulty reasoning as a significant contributor. In this paper, we examine the validity of claims that dual process theory is a key to error reduction.

METHODS

We examined the relationship between a clinical experience (staff and resident physicians) and viewing time on accuracy for categorising chest X-rays (CXRs) and electrocardiograms (ECGs). In two studies, participants categorised images as normal or abnormal, presented at viewing times of 175, 250, 500 and 1000 ms, to encourage System 1 processing. Study 2 extended viewing times to 1, 5, 10 and 20 s to allow time for System 2 processing and a diagnosis. Descriptives and repeated measures analysis of variance were used to analyse the proportion of true and false positive rates (TP and FP) as well as correct diagnoses.

RESULTS

In Study 1, physicians were able to detect abnormal CXRs (0.78) and ECGs (0.67) with relatively high accuracy. The effect of experience was found for ECGs only, as staff physicians (0.71, 95% CI = 0.66-0.75) had higher ECG TP than resident physicians (0.63, 95% CI = 0.58-0.68) in Study 1, and staff had lower ECG FP (0.10, 95% CI = 0.03-0.18) than resident physicians (0.27, 95% CI = 0.20-0.33) in Study 2. In other comparisons, experience was equivocal for ECG FPs and CXR TPs and FPs. In Study 2, overall diagnostic accuracy was similar for both ECGs and CXRs, (0.74). There were small interactions between experience and time for TP in ECGs and FP in CXRs, which are discussed further in the discussion and offer insights into the relationship between processing and experience.

CONCLUSION

Overall, our findings raise concerns about the practical application of models that link processing type to diagnostic error, or to specific diagnostic error reduction strategies.

Hear me out: the role of competent and warm vocal tones in risk communication

Risk communication involves conveying potential risks to the audience. It's crucial for shaping behavior and influencing individual well-being. Previous research predominantly focused on verbal and written aspects of risk communication, with less emphasis on nonverbal cues like vocal tone. Addressing this gap, our study explores the impact of competent and warm vocal tones on risk communication across two risky decision-making paradigms, the Balloon Analogue Risk Task (BART) in Study 1 and the Gambling Task in Study 2. Results show that competent and warm vocal tones are more persuasive than neutral tones, and their effectiveness varies in different decision-making scenarios. Additionally, participants' perceived competence and warmth of vocal tones mediate this persuasiveness. This study enhances our theoretical understanding of risk communication by incorporating the impact of vocal tones. Also, it carries practical implications for marketers and practitioners, demonstrating the importance of using voice as a medium to persuade in real-world scenarios.

How do students reason about statistical sampling with computer simulations? An integrative review from a grounded cognition perspective

Interactive computer simulations are commonly used as pedagogical tools to support students' statistical reasoning. This paper examines whether and how these simulations enable their intended effects. We begin by contrasting two theoretical frameworks-dual processes and grounded cognition-in the context of people's conceptions about statistical sampling, setting the stage for the potential benefits of simulations in learning such conceptions. Then, we continue with reviewing the educational literature on statistical sampling simulations. Our review tentatively suggests benefits of the simulations for building statistical habits of mind. However, challenges seem to persist when more specific concepts and skills are investigated. With and without simulations, students have difficulty forming an aggregate view of data, interpreting sampling distributions, showing a process-based understanding of the law of large numbers, making statistical inferences, and context-independent reasoning. We propose that grounded cognition offers a framework for understanding these findings, highlighting the bidirectional relationship between perception and conception, perceptual design features, and guided perceptual routines for supporting students' meaning making from simulations. Finally, we propose testable instructional strategies for using simulations in statistics education.

Closing the Gap: How Psychological Distance Influences Willingness to Engage in Risky COVID Behavior

Pandemics, and other risk-related contexts, require dynamic changes in behavior as situations develop. Human behavior is influenced by both explicit (cognitive) and implicit (intuitive) factors. In this study, we used psychological distance as a lens to understand what influences our decision-making with regard to risk in the context of COVID-19. This study was based on the rationale that our relational needs are more concrete to us than the risk of the virus. First, we explored the impact of social-psychological distance on participants' risk perceptions and behavioral willingness. As hypothesized, we found that close social relationships of agents promoted willingness to engage in risky behavior. In the second phase, we tested an intervention designed to increase the concreteness of information about virus transmission as a mechanism to mitigate the bias of social influence. We found that the concreteness intervention resulted in significantly reduced willingness to engage in risky behavior. As such, communications aimed at changing the behavior of citizens during times of increased risk or danger should consider conceptually concrete messaging when communicating complex risk, and hence may provide a valuable tool in promoting health-related behavior.

Don't throw the associative baby out with the Bayesian bathwater: Children are more associative when reasoning retrospectively under information processing demands

Causal reasoning is a fundamental cognitive ability that enables individuals to learn about the complex interactions in the world around them. However, the mechanisms that underpin causal reasoning are not well understood. For example, it remains unresolved whether children's causal inferences are best explained by Bayesian inference or associative learning. The two experiments and computational models reported here were designed to examine whether 5- and 6-year-olds will retrospectively reevaluate objects-that is, adjust their beliefs about the causal status of some objects presented at an earlier point in time based on the observed causal status of other objects presented at a later point in time-when asked to reason about 3 and 4 objects and under varying degrees of information processing demands. Additionally, the experiments and models were designed to determine whether children's retrospective reevaluations were best explained by associative learning, Bayesian inference, or some combination of both. The results indicated that participants retrospectively reevaluated causal inferences under minimal information-processing demands (Experiment 1) but failed to do so under greater information processing demands (Experiment 2) and that their performance was better captured by an associative learning mechanism, with less support for descriptions that rely on Bayesian inference. RESEARCH HIGHLIGHTS: Five- and 6-year-old children engage in retrospective reevaluation under minimal information-processing demands (Experiment 1). Five- and 6-year-old children do not engage in retrospective reevaluation under more extensive information-processing demands (Experiment 2). Across both experiments, children's retrospective reevaluations were better explained by a simple associative learning model, with only minimal support for a simple Bayesian model. These data contribute to our understanding of the cognitive mechanisms by which children make causal judgements.

Adieu Bias: Debiasing Intuitions Among French Speakers

Recent debiasing studies have shown that a short, plain-English explanation of the correct solution strategy can improve reasoning performance. However, these studies have predominantly focused on English-speaking populations, who were tested with problem contents designed for an English-speaking test environment. Here we explore whether the key findings of previous debiasing studies can be extended to native French speakers living in continental Europe (France). We ran a training session with a battery of three reasoning tasks (i.e., base-rate neglect, conjunction fallacy, and bat-and-ball) on 147 native French speakers. We used a two-response paradigm in which participants first gave an initial intuitive response, under time pressure and cognitive load, and then gave a final response after deliberation. Results showed a clear training effect, as early as the initial (intuitive) stage. Immediately after training, most participants solved the problems correctly, without the need for a deliberation process. The findings confirm that the intuitive debiasing training effect extends to native French speakers.

Temperament Based Personality Types in Community-Dwelling Older Adults: A Latent Profile Analysis

Three adaptive trait-based personality types have been replicated across ages, cultures, clinical problems and clustering methods: Resilient, Undercontrolled and Overcontrolled type (RUO). Recently there is growing interest in and importance of biopsychosocial transdiagnostic factors underlying personality types, such as temperamental reactivity and self-regulation. Latter can be understood in terms of Behavioural Inhibition (BIS), Behavioural Activation Systems (BAS) and Effortful Control (EC). The occurrence of temperament based RUO types has not yet been confirmed in older adults with or without a mental disorder. Therefore, based on a person-centered approach, the current study investigates whether RUO types can be corroborated in older adults based on the aforementioned temperamental factors. Latent profile analysis yielded two distinct personality profiles in community-dwelling over-60s, which we tentatively labeled a resilient (n = 167) and overcontrolled/inhibited type (n = 241). Compared to the resilient type, the overcontrolled/inhibited type scored lower on EC and higher on BIS. We could not corroborate an undercontrolled type (profiles scored equally on BAS). Group comparisons revealed that overcontrolled/inhibited older adults demonstrated significantly more clinical symptoms, higher emotional instability, lower scores on adaptive traits, less resilience and were significantly more likely to use passive and avoidant coping styles, compared to resilient older adults.

The Partial Mediator Role of Satisficing Decision-Making Style Between Trait Emotional Intelligence and Compassion Fatigue in Healthcare Professionals

Background: Compassion fatigue (CF) represents a relevant issue for healthcare professionals. Currently, it is still unclear which psychological mechanism might lead to CF and which might protect workers from that. Decision-making styles, as well as emotional intelligence, might partially account for the presence of CF. Specifically, we hypothesized that a satisficing decision-making style would mediate the relationship between emotional intelligence and CF.Methods: A cross-sectional online survey was conducted on physicians and nurses from Italian Medical Departments. Three self-reported questionnaires were administered to collect data in accordance with our aims. A mediation model with Structural Equation Modeling on the relationship between trait emotional intelligence (TEI) and CF through the maximizing decision-making style was performed.Results: We found a significant relationship between TEI and CF (β = -0.28, SE = 0.04, p < .001). The maximizing style partially mediated this relationship (β = -0.04, SE = 0.01, p < .001). Moreover, negative relationships were found between sex (male), working hours, sleep quality, and CF. Conversely, a positive relationship between age and CF was demonstrated.Conclusions: Being emotionally intelligent resulted as a protective factor for developing CF, while the decision-making styles shaped the risk of developing CF.

Autistic adults show enhanced generosity to socially distant others

LAY ABSTRACT

Autistic people show differences in their social behaviour. But how autism affects decisions to share resources, an important part of cooperation, was previously unclear. In our study, participants made decisions about how to share money with different people, including people they felt close to, such as a friend, and people they felt less close to, such as a stranger. We found that compared to a group of non-autistic participants, autistic adults shared more money overall and this was driven by greater generosity to strangers. The results suggest that autistic adults were more generous because they made fair decisions (an equal split of the money) more consistently regardless of how close they felt to the person they were sharing with. By showing that autistic adults display greater generosity, our results could help to change public perceptions of autism and potentially improve opportunities for autistic people.

Specificity and sensitivity of the fixed-point test for binary mixture distributions

When two cognitive processes contribute to a behavioral output-each process producing a specific distribution of the behavioral variable of interest-and when the mixture proportion of these two processes varies as a function of an experimental condition, a common density point should be present in the observed distributions of the data across said conditions. In principle, one can statistically test for the presence (or absence) of a fixed point in experimental data to provide evidence in favor of (or against) the presence of a mixture of processes, whose proportions are affected by an experimental manipulation. In this paper, we provide an empirical diagnostic of this test to detect a mixture of processes. We do so using resampling of real experimental data under different scenarios, which mimic variations in the experimental design suspected to affect the sensitivity and specificity of the fixed-point test (i.e., mixture proportion, time on task, and sample size). Resampling such scenarios with real data allows us to preserve important features of data which are typically observed in real experiments while maintaining tight control over the properties of the resampled scenarios. This is of particular relevance considering such stringent assumptions underlying the fixed-point test. With this paper, we ultimately aim at validating the fixed-point property of binary mixture data and at providing some performance metrics to researchers aiming at testing the fixed-point property on their experimental data.

Reasoning More Efficiently with Primary Knowledge Despite Extraneous Cognitive Load

Geary's evolutionary approach in educational psychology differentiates between primary (low cognitive costs and motivational advantage) and secondary knowledge (high cognitive costs and no motivational benefit). Although these features have been well demonstrated in previous work, the underlying mechanisms remain unclear. To investigate it, in a reasoning task, the present study varies (i) the content of the problems (primary knowledge vs. secondary; e.g., food vs. grammar rules), (ii) the intrinsic cognitive load (conflict or non-conflict syllogism, the former requiring more cognitive resources to be properly processed than the latter) and (iii) the extraneous cognitive load (via a Dot Memory Task with three modalities: low, medium and high cognitive load). Analyses assessed the influence of these variables on performance, problem solving speed and perceived cognitive load. Results confirmed the positive impact of primary knowledge on efficiency, particularly when intrinsic cognitive load was high. Surprisingly, the extraneous cognitive load did not influence the performance in secondary knowledge content but that in primary knowledge content: the higher the additional load was, the better the performance was, only for primary knowledge and especially for syllogisms with high intrinsic load. Findings support evolutionary theory as secondary knowledge would overload cognitive resources, preventing participants from allocating sufficient resources to solve problems. Primary knowledge would allow participants to process the additional load and to increase their performance despite this. This study also raises the hypothesis that a minimum cognitive load is necessary for participants to be invested in the task.

Examining the relationship between metacognitive trust in thinking styles and supernatural beliefs

Conflicting findings have emerged from research on the relationship between thinking styles and supernatural beliefs. In two studies, we examined this relationship through meta-cognitive trust and developed a new: (1) experimental manipulation, a short scientific article describing the benefits of thinking styles: (2) trust in thinking styles measure, the Ambiguous Decisions task; and (3) supernatural belief measure, the Belief in Psychic Ability scale. In Study 1 (N = 415) we found differences in metacognitive trust in thinking styles between the analytical and intuitive condition, and overall greater trust in analytical thinking. We also found stronger correlations between thinking style measures (in particular intuitive thinking) and psychic ability and paranormal beliefs than with religious beliefs, but a mixed-effect linear regression showed little to no variation in how measures of thinking style related to types of supernatural beliefs. In Study 2, we replicated Study 1 with participants from the United States, Canada, and Brazil (N = 802), and found similar results, with the Brazilian participants showing a reduced emphasis on analytical thinking. We conclude that our new design, task, and scale may be particularly useful for dual-processing research on supernatural belief.

The effects of explicit reasoning on moral judgements

We report four experiments that investigate explicit reasoning and moral judgements. In each experiment, some subjects responded to the "footbridge" version of the trolley problem (which elicits stronger moral intuitions), whereas others responded to the "switch" version (which elicits weaker moral intuitions). Experiments 1-2 crossed the type of trolley problem with four reasoning conditions: control, counter-attitudinal, pro-attitudinal, and mixed reasoning (both types of reasoning). Experiments 3-4 examine whether moral judgements vary based on (a) when reasoners engage in counter-attitudinal reasoning, (b) when they make the moral judgement, and (c) by the type of moral dilemma. These two experiments comprised five conditions: control (judgement only), delay-only (2-minute wait then judgement), reasoning-only (reasoning then judgement), reasoning-delay (reasoning, then 2-minute delay, then judgement), and delayed-reasoning (2-minute delay, then reasoning, then judgement). These conditions were crossed with the type of trolley problem. We find that engaging in some form of counter-attitudinal reasoning led to less typical judgements (regardless of when it occurs), but this effect was mostly restricted to the switch version of the dilemma (and was strongest in the reasoning-delay conditions). Furthermore, neither pro-attitudinal reasoning nor delayed judgements on their own impacted subjects' judgements. Reasoners therefore seem open to modifying their moral judgements when they consider opposing perspectives but might be less likely to do so for dilemmas that elicit relatively strong moral intuitions.

You must separate: How perceived importance and language intensity promote waste separation

Waste threatens human health and the environment. How can we persuade people to participate in waste separation? In order to address this challenge, the present experimental study (N = 280) investigated the effects of perceived importance (high, medium, low) and language intensity (assertive, non-assertive) on people's intention to separate waste based on the social influence theory and the value-identity-personal norm model. The results showed that high perceived importance and assertive language were positively and significantly associated with waste separation intention. Furthermore, the mediating analysis revealed that environmental self-identity and personal norm were serial mediators in the relationship between perceived importance and waste separation intention. Therefore, strengthening perceived importance and enhancing internalization processes (environmental self-identity and personal norm) contribute to promoting waste separation intention. The findings of this study provide both theoretical and practical contributions to promote waste separation.

COVID-19 Personal Protective Behaviors during Large Social Events: The Value of Behavioral Observations

Within the context of reopening society in the summer of 2021, as the UK moved away from 'lockdowns', the Government of Wales piloted the return of organized 'mass gatherings' of people at a number of test events. The current study reports behavioral observations that were made at two of the test events to inform this process. The researchers were particularly interested in four key factors: how (1) context within a venue, (2) environmental design, (3) staffing and social norms, and (4) time across an event, affected the personal protective behaviors of social distancing and face-covering use. Data collection was undertaken by trained observers. Adherence to protective behaviors was generally high, but there is clear evidence that these behaviors were shaped in a systematic way by the environment, situational cues, and the passage of time during the events. Some instances of large-scale non-adherence to personal protective behaviors were documented. An analysis within a dual-process framework suggests ways to understand and respond to supporting target health behaviors in groups of people where intervention is deemed valuable, such as in complex or ambiguous contexts. This is one of the first studies to include a 'true' behavioral measure in understanding human responses to COVID-19. It demonstrates that behavioral observations can add precision and granularity to understanding human behavior in complex real-world contexts. Given the significant physical and mental health burden created acutely and chronically by COVID-19, this work has implications for how governments and organizations support target populations in other complex challenges facing us today, such as in sustainability, and healthy lifestyle behaviors. An individual's intentions are not always matched by their actions, and so the findings support a balanced liberal paternalistic approach where system-level changes support appropriate individual-level decisions to engender collective responsibility and action.

Bittersweet memories and somatic marker hypothesis: adaptive control in emotional recall facilitates long-term decision-making in the Iowa Gambling Task

The somatic marker hypothesis states that emotional recall and its somatic influence guide long-term decision-making. However, the mechanism through which decision-making benefits from emotional recall is unclear; whether emotional recall and the induced affect increase the regulatory demand or amplify the affect state that requires inhibition. It is unclear if controlling the automatic flow of emotion in recall improves adaptive decision-making. Two studies examine the hypothesis that affect control in emotional recall facilitates inhibitory control and benefits long-term decision-making. In Experiment 1 (n = 137), affect control was assessed in emotional recall to examine if switching of affect in recall of positive and negative valence (order: positive-negative memory recall vs. negative-positive memory recall) is linked with long-term decision-making. Results for long-term decision-making showed that negative-positive recall sequence was associated with higher long-term decision-making, whereas automatic frequency-based decision-making remained unaffected by the recall sequence. In experiment 2 (n = 71, all male), emotional recall (positive vs. negative), recall specificity (i.e., specific vs. overgeneralized recall), and post-recall mood regulation (post-recall positive mood regulation vs. no regulation) was expected to facilitate long-term decision-making. Results showed that emotional recall and post-recall mood regulation (i.e., negative recall - positive mood and positive recall - negative mood) were associated with higher long-term decision-making (decks C' and D'). Results of frequency decision-making showed that positive emotional recall, and poor recall specificity led to infrequent punishment deck choices (decks B' and D'). Hierarchical regression indicated that emotional recall increased infrequent deck choices and accounted for 10% of choices made, recall specificity increased the explanatory power to 19%, and higher recall specificity was associated with fewer infrequent punishment deck choices. Affect control engaged via negative emotional recall, post-recall mood regulation, and recall specificity might be a potential mechanism through which affect control in emotional recall might facilitate long-term decision-making.

Mapping the Cognitive Biases Related to Vaccination: A Scoping Review of the Literature

INTRODUCTION

Human behavior and understanding of the vaccine ecosystem play a critical role in the vaccination decision-making process. The objective of this study was to understand different cognitive biases that may lead to vaccine acceptance or hesitancy.

METHODS

The eligibility criteria for this scoping review was vaccination-related cognitive bias studies published in the English language from inception to April 2022 and available on PubMed, Embase, and Google Scholar. It included all geographical locations and individuals of all age groups and excluded studies focusing on (i) clinical trials of vaccines, (ii) vaccine research conduct bias, (iii) cognitive delay, or (iv) statistical biases. The search method also included reviewing references in the retrieved articles.

RESULTS

Overall, 58 articles were identified, and after screening, 19 were included in this study. Twenty-one cognitive biases with the potential to affect vaccination decision-making were observed. These biases were further grouped into three broad categories: cognitive biases seen while processing vaccine-related information, during vaccination-related decision-making, and due to prior beliefs regarding vaccination.

CONCLUSIONS

This review identified critical cognitive biases affecting the entire process of vaccination that can influence research and public health efforts both positively and negatively. Recognizing and mitigating these cognitive biases is crucial for maintaining the population's level of trust in vaccination programs around the world.

Reflective learning conversations model for simulation debriefing: a co-design process and development innovation

BACKGROUND

Health practitioners must be equipped with effective clinical reasoning skills to make appropriate, safe clinical decisions and avoid practice errors. Under-developed clinical reasoning skills have the potential to threaten patient safety and delay care or treatment, particularly in critical and acute care settings. Simulation-based education which incorporates post-simulation reflective learning conversations as a debriefing method is used to develop clinical reasoning skills while patient safety is maintained. However, due to the multidimensional nature of clinical reasoning, the potential risk of cognitive overload, and the varying use of analytic (hypothetical-deductive) and non-analytic (intuitive) clinical reasoning processes amongst senior and junior simulation participants, it is important to consider experience, competence, flow and amount of information, and case complexity related factors to optimize clinical reasoning while attending group- based post-simulation reflective learning conversations as a debriefing method. We aim to describe the development of a post-simulation reflective learning conversations model in which a number of contributing factors to achieve clinical reasoning optimization were addressed.

METHODS

A Co-design working group (N = 18) of doctors, nurses, researchers, educators, and patients' representatives collaboratively worked through consecutive workshops to co-design a post-simulation reflective learning conversations model to be used for simulation debriefing. The co-design working group established the model through a theoretical and conceptual-driven process and multiphasic expert reviews. Concurrent integration of appreciative inquiry, plus/delta, and Bloom's Taxonomy methods were considered to optimize simulation participants' clinical reasoning while attending simulation activities. The face and content validity of the model were established using the Content Validity Index CVI and Content Validity Ratio CVR methods.

RESULTS

A Post-simulation reflective learning conversations model was developed and piloted. The model was supported with worked examples and scripted guidance. The face and content validity of the model were evaluated and confirmed.

CONCLUSIONS

The newly co-designed model was established in consideration to different simulation participants' seniority and competence, flow and amount of information, and simulation case complexity. These factors were considered to optimize clinical reasoning while attending group-based simulation activities.

How can we apply decision-making theories to wild animal behavior? Predictions arising from dual process theory and Bayesian decision theory

Our understanding of decision-making processes and cognitive biases is ever increasing, thanks to an accumulation of testable models and a large body of research over the last several decades. The vast majority of this work has been done in humans and laboratory animals because these study subjects and situations allow for tightly controlled experiments. However, it raises questions about how this knowledge can be applied to wild animals in their complex environments. Here, we review two prominent decision-making theories, dual process theory and Bayesian decision theory, to assess the similarities in these approaches and consider how they may apply to wild animals living in heterogenous environments within complicated social groupings. In particular, we wanted to assess when wild animals are likely to respond to a situation with a quick heuristic decision and when they are likely to spend more time and energy on the decision-making process. Based on the literature and evidence from our multi-destination routing experiments on primates, we find that individuals are likely to make quick, heuristic decisions when they encounter routine situations, or signals/cues that accurately predict a certain outcome, or easy problems that experience or evolutionary history has prepared them for. Conversely, effortful decision-making is likely in novel or surprising situations, when signals and cues have unpredictable or uncertain relationships to an outcome, and when problems are computationally complex. Though if problems are overly complex, satisficing via heuristics is likely, to avoid costly mental effort. We present hypotheses for how animals with different socio-ecologies may have to distribute their cognitive effort. Finally, we examine the conservation implications and potential cognitive overload for animals experiencing increasingly novel situations caused by current human-induced rapid environmental change.

Response generation, not response execution, influences feelings of rightness in reasoning

It has been argued that the experience of ease (i.e., the ability to quickly generate an initial response) during processing influences one's likelihood of engaging reflectively when reasoning. This is a key facet of Metacognitive Reasoning Theory (MRT) and numerous studies have found support for this claim by showing that answers that come to mind quickly, are associated with higher feelings of rightness (FORs), and less reflective processing. However, the possibility remains that the critical determinant of FORs may be the speed of executing a response and not generating a response, given the nature of the evidence for this claim. Across two experiments, we manipulated the duration of the response execution to identify whether participants' FOR judgements are at least partially based on factors occurring after the initial mental generation of an answer. We found no evidence that FORs nor reflection are influenced by a manipulation of response execution. Broadly, the present investigation provides evidence that the relation between speed of response and FORs is likely due to the speed with which an answer is generated internally, and not the response execution phase. These findings are consistent with Metacognitive Reasoning Theory and provide further support for the suggestion that answer fluency is the critical variable in determining FORs. All data, scripts, and materials can be found at https://osf.io/f48az/.

Breeding by intervening: Exploring the role of associations and deliberation in consumer acceptance of different breeding techniques

New plant breeding techniques may play an important role in improving food quality, global food security and sustainability. Previous breeding techniques have, however, met with substantial resistance from society. This study examined the role of associations and deliberation in the evaluation of breeding techniques. Breeding techniques studied included conventional breeding, gene-editing, genetic modification (cisgenesis and transgenesis), marker-assisted breeding and synthetic biology. By using focus group discussions that included individual tasks, we found that when participants relied on their spontaneous associations, gene-editing was evaluated similarly as genetic modification. However, after information provision and group discussion, gene-editing was preferred over genetic modification. Perceived naturalness was found to be the main reason for obtaining different levels of acceptance, not only between gene-editing and genetic modification but across all breeding techniques examined. These findings highlight the importance of associations and show that beliefs about naturalness remain crucial in understanding how consumers evaluate breeding techniques.

Deliberate practice of diagnostic clinical reasoning reveals low performance and improvement of diagnostic justification in pre-clerkship students

PURPOSE

Diagnostic errors are a large burden on patient safety and improving clinical reasoning (CR) education could contribute to reducing these errors. To this end, calls have been made to implement CR training as early as the first year of medical school. However, much is still unknown about pre-clerkship students' reasoning processes. The current study aimed to observe how pre-clerkship students use clinical information during the diagnostic process.

METHODS

In a prospective observational study, pre-clerkship medical students completed 10-11 self-directed online simulated CR diagnostic cases. CR skills assessed included: creation of the differential diagnosis (Ddx), diagnostic justification (DxJ), ordering investigations, and identifying the most probable diagnosis. Student performances were compared to expert-created scorecards and students received detailed individualized formative feedback for every case.

RESULTS

121 of 133 (91%) first- and second-year medical students consented to the research project. Students scored much lower for DxJ compared to scores obtained for creation of the Ddx, ordering tests, and identifying the correct diagnosis, (30-48% lower, p < 0.001). Specifically, students underutilized physical exam data (p < 0.001) and underutilized data that decreased the probability of incorrect diagnoses (p < 0.001). We observed that DxJ scores increased 40% after 10-11 practice cases (p < 0.001).

CONCLUSIONS

We implemented deliberate practice with formative feedback for CR starting in the first year of medical school. Students underperformed in DxJ, particularly with analyzing the physical exam data and pertinent negative data. We observed significant improvement in DxJ performance with increased practice.

Neural underpinnings of processing combinatorial unstated meaning and the influence of individual cognitive style

We investigated the neurocognitive mechanisms underlying the processing of combinatorial unstated meaning. Sentences like "Charles jumped for 5 minutes." engender an iterative meaning that is not explicitly stated but enriched by comprehenders beyond simple composition. Comprehending unstated meaning involves meaning contextualization-integrative meaning search in sentential-discourse context. Meanwhile, people differ in how they process information with varying context sensitivity. We hypothesized that unstated meaning processing would vary with individual socio-cognitive propensity indexed by the Autism-Spectrum Quotient (AQ), accompanied by differential cortical engagements. Using functional magnetic resonance imaging, we examined the processing of sentences with unstated iterative meaning in typically-developed individuals and found an engagement of the fronto-parietal network, including the left pars triangularis (L.PT), right intraparietal (R.IPS), and parieto-occipital sulcus (R.POS). We suggest that the L.PT subserves a contextual meaning search, while the R.IPS/POS supports enriching unstated iteration in consideration of event durations and interval lengths. Moreover, the activation level of these regions negatively correlated with AQ. Higher AQ ties to lower L.PT activation, likely reflecting weaker context sensitivity, along with lower IPS activation, likely reflecting weaker computation of events' numerical-temporal specifications. These suggest that the L.PT and R.IPS/POS support the processing of combinatorial unstated meaning, with the activation level modulated by individual cognitive styles.

Not all mentally stimulating activities are alike: insights from a 4-factor model and implications for late-life cognition

It is not yet known which specific qualities of cognitively stimulating activities are most likely to enhance cognitive reserve in older adults. Taking an inductive approach to this problem, we asked 504 older adults with subjective and/or cognitive impairment to complete the Cognitively Stimulating Activities Questionnaire (CSA-Q). Exploratory factor analysis identified a 4-factor structure within a split-half sample, after which confirmatory factor analysis cross-validated the model. Retaining 12 CSA-Q items, the 4 factors were dubbed CSA-Processing, CSA-Challenging, CSA-Connecting and CSA-Socializing. Resulting factor weights were analyzed relative to cognitive reserve proxies and neuropsychological domains. All factors except CSA-Challenging were positively linked to cognitive reserve. Neuropsychologically, CSA-Challenging was modestly and positively correlated with processing speed and executive function, while CSA-Processing was positively correlated with executive function. CSA-Socializing had a small positive correlation with processing speed. Our findings offer new insights into late-life stimulating activities, laying the groundwork for longitudinal and intervention studies.

Competition Anxiety in Combat Sports and the Importance of Mental Toughness

Combat sports require participants to engage in potentially dangerous forms of contact-based competition. Pressure to succeed, coupled with the risk of severe injury can induce significant levels of anxiety, which if uncontrolled, can negatively impact performance and possibly promote unsporting conduct. The present study examined competitive anxiety levels of combat sports athletes and determined whether self-reported scores were associated with mental toughness and Sportspersonship attitudes. A cross-sectional survey design was used whereby participants (N = 194) completed a battery of questionnaires measuring competitive combat sport experiences, demographic details, Sportspersonship traits (compliance towards rules, respect for opponents, and game perspective), and competition anxiety (somatic, cognitive, and self-confidence; reported retrospectively). Results suggest that mentally tough athletes experience lower levels of cognitive and somatic anxiety, and higher self-confidence, prior to competitions. Findings also found that athletes endorsing more altruistic and respectful attitudes in sport (Sportspersonship) reported higher levels of competition anxiety. The findings demonstrate that mental toughness is allied to positive attributes and could potentially be operationalized to improve both the retention and performance of combat sports athletes. Thus, the authors advocate the use of mental toughness coaching interventions within combat sports.

A good architecture for fast and slow thinking, but exclusivity is exclusively in the past

No doubt older work in the dual-process tradition overemphasized the importance and frequency of the override function, and the working model in this target article provides a useful corrective. The attempt to motivate the model using the so-called exclusivity assumption is unnecessary, because no recent dual-process model in the reasoning literature has rested strongly on this assumption.

Follow-up on the U.S. Central Intelligence Agency's (CIA) remote viewing experiments☆

OBJECTIVES

Since 1972, the U.S. Central Intelligence Agency (CIA) commissioned several research programs on remote viewing (RV) that were progressively declassified from 1995 to 2003. The main objectives of this research were to statistically replicate the original findings and address the question: What are the underlying cognitive mechanisms involved in RV? The research focused on emotional intelligence (EI) theory and intuitive information processing as possible hypothetical mechanisms.

METHODS

We used a quasi-experimental design with new statistical control techniques based on structural equation modeling, analysis of invariance, and forced-choice experiments to accurately objectify results. We measured emotional intelligence with the Mayer-Salovey-Caruso Emotional Intelligence Test. A total of 347 participants who were nonbelievers in psychic experiences completed an RV experiment using targets based on location coordinates. A total of 287 participants reported beliefs in psychic experiences and completed another RV experiment using targets based on images of places. Moreover, we divided the total sample into further subsamples for the purpose of replicating the findings and also used different thresholds on standard deviations to test for variation in effect sizes. The hit rates on the psi-RV task were contrasted with the estimated chance.

RESULTS

The results of our first group analysis were nonsignificant, but the analysis applied to the second group produced significant RV-related effects corresponding to the positive influence of EI (i.e., hits in the RV experiments were 19.5% predicted from EI) with small to moderate effect sizes (between 0. 457 and 0.853).

CONCLUSIONS

These findings have profound implications for a new hypothesis of anomalous cognitions relative to RV protocols. Emotions perceived during RV sessions may play an important role in the production of anomalous cognitions. We propose the Production-Identification-Comprehension (PIC) emotional model as a function of behavior that could enhance VR test success.

Histology as a paradigm for a science-based learning experience: Visits by histology education spirits of past, present, and future

The term "histology" was coined a little over 200 years ago and the subject has always relied on microscopy as its defining technology. Microscopy was and still is an essential approach for the description of cellular components and their arrangements in living organisms. For more than a century and a half, histology or microanatomy has also been part of the basic science education for biomedical students. Traditionally, it has been taught in two major components, a didactic transfer of information, either in a lecture or self-learning format, and in active-learning laboratory sessions. These two modes of histology instruction conform with the dual-processing theory of learning, one being more automatic and depending mainly on rote memorization, whereas the other is analytical, requiring more advanced reasoning skills. However, these two components of histology education are not separate and independent, but rather complementary and part of a multi-step learning process that encourages a scientific analysis of visual information and involves higher-level learning skills. Conventional, as well as modern electronic instruction methods (e-learning) have been used in complementary ways to support the integrated succession of individual learning steps as outlined in this manuscript. However, as recent curricular reforms have curtailed instructional time, this traditional format of teaching histology is no longer sustainable and a reflective reassessment of the role of histology in modern biomedical education is a timely necessity.

Cognitive Bias and Dissonance in Surgical Practice: A Narrative Review

A cognitive bias describes "shortcuts" subconsciously applied to new scenarios to simplify decision-making. Unintentional introduction of cognitive bias in surgery may result in surgical diagnostic error that leads to delayed surgical care, unnecessary procedures, intraoperative complications, and delayed recognition of postoperative complications. Data suggest that surgical error secondary to the introduction of cognitive bias results in significant harm. Thus, debiasing is a growing area of research which urges practitioners to deliberately slow decision-making to reduce the effects of cognitive bias.

The Potential of Instagram to Reduce Stigmatization of People with Psoriasis: A Randomized Controlled Pilot Study

Psoriasis is a stigmatized skin disease. This randomized controlled trial aimed to evaluate an Instagram based stigma-reduction intervention targeting daily Instagram users aged 18 to 49 years without psoriasis. After stratification for baseline characteristics (t0), stigmatization of psoriasis was assessed using a questionnaire and a photo-rating task immediately before (t1) and after (t2) the intervention and two weeks post-intervention (t3). Data from 54 participants, recruited in a university setting and via Instagram, were analysed. For 10 min between t1 and t2, the intervention group (n = 26) and the control group (n = 28) scrolled through two different Instagram accounts. Psoriasis-sensitizing content was displayed to the intervention group while beauty-glorifying posts were shown to the control group. Results indicated significantly less Disease-related Misconceptions in the intervention group in comparison to the control group at t2 (U = 145.50, Z = -3.79, p < 0.001) and at t3 (U = 177.00, Z = -3.25, p = 0.003). Moreover, the intervention group showed a significant reduction over time in Stereotype Endorsement (F(2, 50) = 13.40, p < 0.001, partial η² = 0.35) and Disease-related Misconceptions (χ2(2) = 12.64, p = 0.002). These findings suggest that addressing psoriasis on Instagram has the potential to effectively reduce the related stigmatization. Further studies are necessary to assess the impact of social media on stigmatization concerning psoriasis in more depth.

Examining Homophily, Language Coordination, and Analytical Thinking in Web-Based Conversations About Vaccines on Reddit: Study Using Deep Neural Network Language Models and Computer-Assisted Conversational Analyses

BACKGROUND

Vaccine hesitancy has been deemed one of the top 10 threats to global health. Antivaccine information on social media is a major barrier to addressing vaccine hesitancy. Understanding how vaccine proponents and opponents interact with each other on social media may help address vaccine hesitancy.

OBJECTIVE

We aimed to examine conversations between vaccine proponents and opponents on Reddit to understand whether homophily in web-based conversations impedes opinion exchange, whether people are able to accommodate their languages to each other in web-based conversations, and whether engaging with opposing viewpoints stimulates higher levels of analytical thinking.

METHODS

We analyzed large-scale conversational text data about human vaccines on Reddit from 2016 to 2018. Using deep neural network language models and computer-assisted conversational analyses, we obtained each Redditor's stance on vaccines, each post's stance on vaccines, each Redditor's language coordination score, and each post or comment's analytical thinking score. We then performed chi-square tests, 2-tailed t tests, and multilevel modeling to test 3 questions of interest.

RESULTS

The results show that both provaccine and antivaccine Redditors are more likely to selectively respond to Redditors who indicate similar views on vaccines (P<.001). When Redditors interact with others who hold opposing views on vaccines, both provaccine and antivaccine Redditors accommodate their language to out-group members (provaccine Redditors: P=.044; antivaccine Redditors: P=.047) and show no difference in analytical thinking compared with interacting with congruent views (P=.63), suggesting that Redditors do not engage in motivated reasoning. Antivaccine Redditors, on average, showed higher analytical thinking in their posts and comments than provaccine Redditors (P<.001).

CONCLUSIONS

This study shows that although vaccine proponents and opponents selectively communicate with their in-group members on Reddit, they accommodate their language and do not engage in motivated reasoning when communicating with out-group members. These findings may have implications for the design of provaccine campaigns on social media.

Priming effects of a slot machine game and amphetamine on probabilistic risk-taking in people with gambling disorder and healthy controls

INTRODUCTION

The Game of Dice Task (GDT) captures probabilistic risk-taking, which is an important feature of addictions and integral to gambling disorder (GD). No research appears to have assessed effects of gambling-specific priming manipulations or the pharmacological basis of such effects on the GDT.

AIMS

To investigate effects of slot machine gambling (Slots) and d-amphetamine (AMPH; 20 mg) on risk-taking in people with GD and healthy controls (HCs) (n = 30/group). The role of dopamine (DA) was assessed by pre-treating participants with the D2 receptor (D2R)-preferring antagonist, haloperidol (HAL; 3-mg) or mixed D1R-D2R antagonist, fluphenazine (FLU; 3-mg).

HYPOTHESES

Slots and AMPH will each increase risk-taking based on fewer (less probable) possible outcomes selected (POS) and poorer net monetary outcomes (NMO; gains minus losses) on the GDT, with stronger effects in Group GD. If DA mediates these effects, outcomes will vary with pre-treatment.

METHOD

Participants attended a pre-experimental baseline session and 4 test sessions. Antagonist Group (HAL, FLU) was manipulated between-participants. Pre-treatment (antagonist, placebo) was manipulated within-participants and counterbalanced over sessions for Slots and AMPH test phases. Moderator/mediator effects of trait and neuropsychological factors and GD severity (South Oaks Gambling Screen; SOGS) were explored via covariance.

RESULTS

AMPH led to an escalation in risky POS over trial blocks in both groups, regardless of pre-treatment. Cognitive inflexibility (high perseveration-proneness) moderated this effect in Group HC. In Group GD, SOGS selectively predicted riskier POS on AMPH sessions. Group GD achieved poorer NMO vs. Group HC on the pre-experimental baseline and Placebo-Slots sessions. Group HC selectively displayed poorer NMO on the Antagonist-Slots session.

CONCLUSIONS

The GDT can detect behavioral and pharmacological priming effects. Cognitive inflexibility and symptom severity moderate AMPH-induced risk-taking in HC and GD participants, respectively. Sensitization-related "wanting" of risk may contribute to the latter effect in people with GD.

Verification of the Japanese Version of Greene’s Moral Dilemma Task’s Validity and Reliability

The moral dilemma task developed by Greene et al., which comprises personal and impersonal moral dilemmas, is useful for clarifying people’s moral judgments. This study develops and validates a Japanese version of this questionnaire. Ten new questions were added to the Japanese version using back-translation, and its internal validity was tested. A second survey was conducted among the same participants one month after the first survey (n = 231). The intraclass correlation coefficient through retesting was found to be 0.781. Test-retest, internal consistency, and criterion-related validity were confirmed by retesting the Japanese version of the moral dilemma task. Moral judgments differed in gender, with women and men tending to be more utilitarian in situations where emotions were less and more likely to be involved, respectively. The association between age and deontological moral judgments was also observed.

Assortativity in cognition

In pairwise interactions, where two individuals meet and play a social game with each other, assortativity in cognition means that pairs where both decision-makers use the same cognitive process are more likely to occur than what happens under random matching. In this paper, we show theoretically that assortativity in cognition may arise as a consequence of assortativity in other dimensions. Moreover, we analyze an applied model where we investigate the effects of assortativity in cognition on the emergence of cooperation and on the degree of prosociality of intuition and deliberation, which are the typical cognitive processes postulated by the dual process theory in psychology. In particular, with assortativity in cognition, deliberation is able to shape the intuitive heuristic toward cooperation, increasing the degree of prosociality of intuition, and ultimately promoting the overall cooperation. Our findings rely on agent-based simulations, but analytical results are also obtained in a special case. We conclude with examples involving different payoff matrices of the underlying social games, showing that assortativity in cognition can have non-trivial implications in terms of its societal desirability.