Cognitive Processes Research Articles

Reducing the Influence of Time Pressure on Risky Choice

Abstract: While the impact of time pressure on decision-making is extensively studied, how individuals regulate their behavior under such conditions is less understood. This study addressed this gap by prompting participants to use cognitive reappraisal, an emotion regulation strategy. Participants were instructed to reinterpret their emotions during the decision-making process and asked to answer within 1,000 ms. Findings revealed that cognitive reappraisal mitigated the effects of time pressure in gain-framed trials by decreasing risk aversion that is usually induced by time pressure. A post hoc moderated mediation analysis indicated that this was attributed to the dual influence of cognitive reappraisal: less emotional intensity toward options and less overall emotional reliance during the cognitive process, both modulating risky preferences. However, this modulation was not observed in loss-framed trials. These results enhance our understanding of cognitive reappraisal’s role in moderating the behavioral impact of time pressure and suggest interventions to reduce affect heuristics in decision-making.

Are Social Media Notifications Distracting?

Abstract: Visual working memory (VWM), due to its temporary nature, is highly volatile. VWM encoding may be easily disrupted by cues from our visually rich media environment, such as social media logos and notification badges. Yet, to what extent these social media-related cues adversely affect our cognitive processing is not well understood. In three experiments, participants performed a change-detection task with a memory array that contained colored stimuli. Next to the memory array, social media logos with or without notification badges might appear in conjunction with the memory array in critical blocks (Experiment 1) or in critical trials (Experiment 2 and 3). The presence of social media logos with notification badges adversely affected change detection performance in Experiment 1, but not in Experiment 2 or 3. Overall, the findings seem to indicate that the presence of social media logos does not interfere with visual working memory performance.

The Antecedents of Transformer Models

Transformer models of language represent a step change in our ability to account for cognitive phenomena. Although the specific architecture that has garnered recent interest is quite young, many of its components have antecedents in the cognitive science literature. In this article, we start by providing an introduction to large language models aimed at a general psychological audience. We then highlight some of the antecedents, including the importance of scale, instance-based memory models, paradigmatic association and systematicity, positional encodings of serial order, and the learning of control processes. This article offers an exploration of the relationship between transformer models and their precursors, showing how they can be understood as a next phase in our understanding of cognitive processes.

Artificial Intelligence and Strategic Decision-Making: Evidence from Entrepreneurs and Investors

This paper explores how artificial intelligence (AI) may impact the strategic decision-making (SDM) process in firms. We illustrate how AI could augment existing SDM tools and provide empirical evidence from a leading accelerator program and a start-up competition that current large language models can generate and evaluate strategies at a level comparable to entrepreneurs and investors. We then examine implications for the key cognitive processes underlying SDM—search, representation, and aggregation. Our analysis suggests that AI has the potential to enhance the speed, quality, and scale of strategic analysis, while also enabling new approaches, like virtual strategy simulations. However, the ultimate impact on firm performance will depend on competitive dynamics as AI capabilities progress. We propose a framework connecting AI use in SDM to firm outcomes and discuss how AI may reshape sources of competitive advantage. We conclude by considering how AI could both support and challenge core tenets of the theory-based view of strategy. Overall, our work maps out an emerging research frontier at the intersection of AI and strategy. History: This paper has been accepted for the Strategy Science Special Issue on Theory-Based View. Funding: The authors are grateful to their collaborating organizations and to the University of Michigan, Bocconi University Junior Researchers’ Grant, and the INSEAD eLab Research Fund for financial support.

Computational Thinking Assessment in Primary and Secondary Education: A Meta-synthesis of tools, Methods and Pedagogical Approaches

Despite the widespread adoption of computational thinking (CT) across educational levels, challenges persist in its assessment due to diverse definitions, frameworks, and its practical application in classroom settings. This meta-synthesis investigates the assessment of computational thinking (CT) in primary and secondary education, synthesizing evidence from 12 reviews across five international databases, focusing on tools, methods, and pedagogical practices employed in assessing CT, with the aim to outline practical approaches for evaluating CT components. The review delves into the primary focuses of these syntheses, the CT skills and components assessed, and the methods and tools utilized, identifying gaps in current practices. The findings highlight a prevalent focus on programming skills, with less emphasis on cognitive processes and collaborative aspects of CT. The synthesis also points to the need for developing assessment tools and methods that encompass the broader spectrum of CT skills, suggesting avenues for future research and practical application in educational settings.

Orbitofrontal control of the olfactory cortex regulates olfactory discrimination learning.

Serving as an integral node for cognitive processing and value-based decision-making, the orbitofrontal cortex (OFC) plays a multifaceted role in associative learning and reward-driven behaviours through its widespread synaptic integration with both subcortical structures and sensory cortices. Despite the OFC's robust innervation of the olfactory cortex, the functional implications and underlying mechanisms of this top-down influence remain largely unexplored. In this study, we demonstrated that the OFC formed both direct excitatory and indirect inhibitory synaptic connections with pyramidal neurons in the anterior piriform cortex (aPC). OFC projection predominantly regulated spontaneous and odour-evoked excitatory activity in the aPC of awake mice. Importantly, suppression of this OFC-aPC projection disrupted olfactory discrimination learning, potentially due to a consequent decrease in the excitability of aPC principal output neurons following inhibition of this projection. Whole-cell recordings revealed that olfactory learning increased the intrinsic excitability of aPC neurons while concurrently decreasing OFC input to these neurons. These findings underscore the pivotal influence of orbitofrontal modulation over the olfactory cortex in the context of olfactory learning and provide insight into the associated neurophysiological mechanisms. KEY POINTS: The orbitofrontal cortex (OFC) densely innervates the anterior piriform cortex (aPC) through direct excitatory synaptic connections. The OFC regulates both spontaneous and odour-evoked excitatory activities in the aPC of awake mice. Inhibition of OFC projections disrupts olfactory discrimination learning, probably due to reduced excitability of aPC main output neurons. Following olfactory learning, the intrinsic excitability of aPC neurons increases while the OFC-aPC input decreases, highlighting the importance of adaptable OFC input for olfactory learning. These results provide new perspectives on how the OFC's top-down control modulates sensory integration and associative learning.

Expressions of customer rumination in online posts and firm responses

AbstractWhen faced with service failures, customers tend to ruminate, i.e., engage in repetitive negative thoughts about service failures and their causes/consequences. Some customers express these ruminative thoughts in online posts, making the internal cognitive process of rumination publicly visible to prospective customers who read the posts. This research proposes a novel conceptualization and operationalization of customer expressions of rumination as the repetitive use of words related to (a) service failure aspects and (b) service failure causes/consequences. Across two field studies, one survey, and two experiments, this research demonstrates that rumination expressions in online posts about service failures are linked to lower sales, weaker prospective customers’ purchase intention, and more “likes” of the post. Responses expressing empathetic apologies are more effective in handling rumination expressions about service failure aspects, whereas responses mentioning compensation are more effective in handling rumination expressions about service failure causes/consequences. We urge managers to recognize the visibility and harmfulness of rumination expressions in digital outlets and provide solutions to minimize their damage.

Ontological Airspace-Situation Awareness for Decision System Support

Air Traffic Management (ATM) has become complicated mainly due to the increase and variety of input information from Communication, Navigation, and Surveillance (CNS) systems as well as the proliferation of Unmanned Aerial Vehicles (UAVs) requiring Unmanned Aerial System Traffic Management (UTM). In response to the UTM challenge, a decision support system (DSS) has been developed to help ATM personnel and aircraft pilots cope with their heavy workloads and challenging airspace situations. The DSS provides airspace situational awareness (ASA) driven by knowledge representation and reasoning from an Avionics Analytics Ontology (AAO), which is an Artificial Intelligence (AI) database that augments humans’ mental processes by means of implementing AI cognition. Ontologies for avionics have also been of interest to the Federal Aviation Administration (FAA) Next Generation Air Transportation System (NextGen) and the Single European Sky ATM Research (SESAR) project, but they have yet to be received by practitioners and industry. This paper presents a decision-making computer tool to support ATM personnel and aviators in deciding on airspace situations. It details the AAO and the analytical AI foundations that support such an ontology. An application example and experimental test results from a UAV AAO (U-AAO) framework prototype are also presented. The AAO-based DSS can provide ASA from outdoor park-testing trials based on downscaled application scenarios that replicate takeoffs where drones play the role of different aircraft, i.e., where a drone represents an airplane that takes off and other drones represent AUVs flying around during the airplane’s takeoff. The resulting ASA is the output of an AI cognitive process, the inputs of which are the aircraft localization based on Automatic Dependent Surveillance–Broadcast (ADS-B) and the classification of airplanes and UAVs (both represented by drones), the proximity between aircraft, and the knowledge of potential hazards from airspace situations involving the aircraft. The ASA outcomes are shown to augment the human ability to make decisions.

Gender-modulated influence of BDNF concentration and Val66Met polymorphism on cognitive outcomes in chronic limb ischemia patients

IntroductionWhile numerous studies have established associations between brain-derived neurotrophic factor (BDNF) and cognitive functioning, limited research has delved into the role of BDNF concerning cognitive outcomes in atherosclerosis-related conditions. This study aimed to investigate the correlations between cognitive performance, serum BDNF levels, and the BDNF Val66Met polymorphism in individuals diagnosed with chronic limb ischemia (CLI).Participants and procedureThe study encompassed 159 CLI patients (52 females, 107 males) aged 59-73 years. Genetic analysis involved assessing the BDNF Val66Met single-nucleotide polymorphism using a TaqMan SNP Genotyping Assay and the ViiA™ 7 Real-Time PCR System. Serum BDNF levels were quantified. Cognitive functioning was evaluated through a computerized battery of tests, including the simple reaction test (SRT) for speed and accuracy assessment, verbal memory test (VMT) for short and long-term memory evaluation, and the GoNoGo test for cognitive control and inhibition.ResultsGender differences in cognitive performance were observed, with women excelling in VMT, while men demonstrated superior performance in SRT and the GoNoGo test. No statistically significant differences were noted between the Met/Met or Met/Val and Val/Val subgroups. However, notable differences emerged in female Met carriers, exhibiting superior VMT scores but more incorrect Go responses in the GoNoGo test. Conversely, female Val homozygotes showed significantly more incorrect NoGo responses compared to male Val homozygotes. In men carrying the Met allele, higher BDNF concentrations correlated with improved GoNoGo test results (r = 0.248, p = 0.01). Conversely, in women with the Val/Val variant, lower BDNF concentrations were associated with better VMT scores.ConclusionsThis study underscores the sex-specific impact of BDNF serum levels and the BDNF polymorphism on cognitive processes among CLI patients. The findings highlight the nuanced influence of BDNF in shaping cognitive functioning, emphasizing the need for further research into these sex-dependent associations.

Interactive effects of ARRB2 and CHRNA5 genetic polymorphisms on cognitive function in Chinese male methamphetamine use disorder patients.

Both β-arrestin2 and nicotinic acetylcholine receptor (nAChR) have been implicated in cognitive processes, particularly in relation to psychiatric disorders, including addiction. Previous studies have suggested that nAChR may be regulated by β-arrestin2. However, no study has investigated the interaction of β-arrestin2 and nAChR on cognition. We aimed to examine the main and interactive effects of their respective encoding genes, ARRB2 and CHRNA5, on cognitive function in MUD patients. We recruited 559 patients with methamphetamine use disorder (MUD) and 459 healthy controls, assessed their cognitive functioning using the Chinese version of the Repeatable Battery for the Assessment of Neuropsychological Status (RBANS), and genotyped ARRB2 rs1045280 and CHRNA5 rs3829787 polymorphisms in MUD patients. Compared to healthy controls, MUD patients scored significantly lower on all RBANS indexes. Neither ARRB2 rs1045280 nor CHRNA5 rs3829787 had main effects on cognitive function in MUD patients, but there were significant interactive effects between the two single nucleotide polymorphisms (SNPs) on multiple RBANS indexes, including immediate memory, visuospatial/constructional, delayed memory, and total score. In detail, among carriers of CHRNA5 rs3829787 T allele, ARRB2 rs1045280 TT carriers had higher RBANS scores than the C allele carriers, whereas among carriers of CHRNA5 rs3829787 CC genotype, ARRB2 rs1045280 TT carriers performed worse in RBANS. Our study identified for the first time an interactive effect between ARRB2 and CHRNA5 on cognitive function in MUD patients, which would enlarge our knowledge of genetic interaction on cognitive function.

Decoding decision-making: The interplay of cognitive processes and working capital management constraints in new ventures

ABSTRACT This research delves into the relationship between managerial cognitive frameworks, particularly construal levels, working capital management constraints, and new venture performance. We posit that higher construal levels positively influence venture performance, while working capital management constraints have a detrimental effect, reflecting challenges in resource allocation and cash flow. Our study also suggests that these constraints can temper the benefits of high construal levels on performance. Using a mixed-method approach, we gather data from recently IPOed firms (Study 1) and an MBA cohort experiment (Study 2). Our findings elucidate the intricate interplay between cognitive orientation and financial constraints, offering novel insights into new venture operational management. This research enriches venture financing literature and offers valuable insights for decision-makers navigating the entrepreneurial realm.

Communication, Trust and Imagination. Ways to Understand the Relationship between Director and Actor

Imagination is the essence of creativity in both theatre and film, but it manifests itself differently in these two arts. In theatre, the audience actively participates in creating the world of the play. The stage is a canvas where imagination fills in the gaps. Cinema, on the other hand, often strives for hyperrealism. The camera captures actual locations, detailed sets, and authentic environments. The space becomes an integral part of storytelling. The cinema screen is perceived as a window through which the audience has access to a real world that is not limited to what is seen in the frame – it continues to exist beyond what is accessible. Imagination not only shapes our perception and reactions in everyday life but is also the driving force behind acting and directing. Furthermore, the viewer’s perception is inherently subjective, making this subjectivity a part of the creative process. Thus, the means of communication become the essence, creating distinct relationships and communication bridges. In the crews of both film and theatre, the most important and challenging relationship is probably the one between director and actor. This collaboration is based on mutual trust, imagination, empathy, and openness. The authenticity of the performance and the ability to reveal the depth of the character are essential, with the actor’s mental processes playing a crucial role in achieving this goal – primarily under the director’s guidance. Throughout this essay, I explore this relationship.

Exploring the Cognitive Processes of Preparation for a Spelling Bee Game to Enhance Vocabulary Learning in a Foreign Language

This study investigates the cognitive processes associated with preparation for a spelling bee game to enhance vocabulary learning in a foreign language. It draws upon the Information Processing Theory, which involves attention, perception, and memory processes. During their freshman year of college in the Department of English, a group of 30 Saudi learners, at the same level of English, ranging in age from 18 to 20 years old, were provided with a weekly set of words to memorize as part of their Reading Course. Following twelve weeks of practice, memorization, and oral performance, a spelling bee was organized for the ten students who achieved the highest scores in the spelling tests. Subsequently, individual interviews were conducted with each of the ten participants in order to understand the cognitive mechanisms underlying their preparation and memorization for the event. The study's findings reveal that most participants in the spelling bee game actively engage in key stages of information processing, including encoding, storing, and retrieving information. Additionally, learners were observed to evolve from merely acquiring factual vocabulary knowledge to applying it practically through repeated practice and memorization for the spelling bee. By engaging multiple senses—such as visual and auditory perception—alongside verbal memory, most participants develop the procedural knowledge needed to spell words accurately and effortlessly, effectively transferring words from short-term to long-term memory.

Key Proteins in Rat Cerebral Cortex: Application of Cornu aspersum Extract as a Neuroprotective Agent in Alzheimer’s Type Dementia

Alzheimer’s disease (AD) is the most widespread neurodegenerative disorder. Recently, it was found that mucus extract from Cornu aspersum has beneficial effects on memory and cognitive processes in a rat scopolamine model of AD. The present study elucidated the mechanisms of action of standardized mucus snail extract (SE) enriched with a fraction above 20 kDa on Alzheimer-type dementia in rats. Using proteomic analysis on two-dimensional polyacrylamide gel electrophoresis (2D–PAGE) on rat cortex extracts, we compared protein expression in both groups: the first group was treated intraperitoneally with scopolamine (Sco, 2 mg/kg, 11 days) and the second (Sco + SE) group was treated intraperitoneally with Sco (Sco, 2 mg/kg) and protected by SE (0.5 mL/100 g bw) applied daily orally for 11 days. Brain cortex was separated and the expressions of various proteins related to memory and cognitive functions were identified. We found that the expression of Ubiquitin carboxyl-terminal hydrolase isozyme L1, Calbindin, Vacuolar ATP synthase catalytic subunit A, Tropomyosin beta chain, 14-3-3 zeta/delta, Kinesin-1 heavy chain, and Stathmin-4 significantly differs in SE-protected rats as compared to dement animals treated only by Sco, and these brain proteins might be potential therapeutic targets for Alzheimer’s-type dementia treatment.

Dissecting the causal role of early inferior frontal activation in reading.

Cognitive models of reading assume that speech production occurs after visual and phonological processing of written words. This traditional view is at odds with more recent magnetoencephalography studies showing that the left posterior inferior frontal cortex (pIFC) classically associated with spoken production responds to print at 100-150 ms after word-onset, almost simultaneously with posterior brain regions for visual and phonological processing. Yet the theoretical significance of this fast neural response remains open to date. We used transcranial magnetic stimulation (TMS) to investigate how the left pIFC contributes to the early stage of reading. In Experiment 1, 23 adult participants (14 females) performed three different tasks about written words (oral reading, semantic judgment and perceptual judgment) while single-pulse TMS was delivered to the left pIFC, fusiform gyrus or supramarginal gyrus at different time points (50 to 200 ms after word-onset). A robust double dissociation was found between tasks and stimulation sites - oral reading, but not other control tasks, was disrupted only when TMS was delivered to pIFC at 100 ms. This task-specific impact of pIFC stimulation was further corroborated in Experiment 2, which revealed another double dissociation between oral reading and picture naming. These results demonstrate that the left pIFC specifically and causally mediates rapid computation of speech motor codes at the earliest stage of reading and suggest that this fast sublexical neural pathway for pronunciation, although seemingly dormant, is fully functioning in literate adults. Our results further suggest that these left-hemisphere systems for reading overall act faster than known previously.Significance Statement Recent neuroimaging data suggest that left posterior inferior frontal cortex, classically associated with spoken production, responds to print simultaneously with left fusiform and supramarginal gyri, each responsible for visual and phonological processing, contrary to traditional serial cascade models of reading. While the region is now known to mediate different aspects of cognitive processing, the functional significance of this fast neural response remains unclear. Using transcranial magnetic stimulation, we show that early inferior frontal activation plays a specific and causal role in speeded oral reading at 100 ms after word-onset. This fast sublexical neural pathway for pronunciation, although seemingly dormant, is fully functioning in literate adults. We also propose that the left-hemisphere reading systems act differently and faster than known previously.

Lateral prefrontal theta oscillations causally drive a computational mechanism underlying conflict expectation and adaptation.

Adapting our behavior to environmental demands relies on our capacity to perceive and manage potential conflicts within our surroundings. While evidence implicates the involvement of the lateral prefrontal cortex and theta oscillations in detecting conflict stimuli, their causal role in conflict expectation remains elusive. Consequently, the exact computations and neural mechanisms underlying these cognitive processes still need to be determined. We employed an integrative approach involving cognitive computational modeling, fMRI, TMS, and EEG to establish a causal link between oscillatory brain function, its neurocomputational role, and the resulting conflict processing and adaptation behavior. Our results reveal a computational process underlying conflict expectation, which correlates with BOLD-fMRI and theta activity in the superior frontal gyrus (SFG). Modulation of theta activity via rhythmic TMS applied over the SFG induces endogenous theta activity, which in turn enhances computations associated with conflict expectation. These findings provide evidence for the causal involvement of SFG theta activity in learning and allocating cognitive resources to address forthcoming conflict stimuli.

Can Critical-thinking Skills be Measured by Analyzing Metacognition?

Metacognition refers to the capacity to comprehend and manage one's own cognitive processes, enabling the recognition of biases and presumptions that might influence them. Numerous published studies indicate that through metacognition, enhancements in critical-thinking skills allow individuals to query information, assess data, and make more evidence-grounded decisions—a cornerstone of critical and analytical thinking. This study aims to delineate the association between metacognition and critical-thinking skills via a meta-analysis. The data sources encompass articles published on Scopus between 2013 and 2023, identified using the keywords "Metacogni*" AND "Critical Thinking". This meta-analysis included 60 studies from diverse global locations. Employing a random-effects model, the analysis evaluated both effect size and potential publication biases using Jamovi 2.2.5 and OpenMEE software. The outcomes affirm a significant correlation between metacognition and critical-thinking skills, highlighting a robust effect of metacognition on critical-thinking skills, reflected in a significant measure of r = 0.649. Thus, increasing metacognitive abilities will improve critical-thinking abilities.

Axiology of Legal Trust: From the Constitutional Dimension to the Practice of Mediation

The article discusses the issue of legal trust as current topic of modern Russian legal discourse. The social nature of trust in law in its axiological dimension is explored. The significance of the sociocultural basis for analyzing the axiology of legal trust as a value of constitutional law is substantiated. The value basis of trust finds its expression in the practical sphere, which is discussed in the article using the example of mediation. Trust is a key resource in cognitive processes. To study the practice of mediation through the prism of trust, the features of the cultural and historical development of countries are used. Using the example of the experience of various civilizations, the authentic nature of the emerging mediation activity is substantiated.

Building a valuable professional development course: instructor effort vs. perceived student value of activities in an online biotechnology course

Providing undergraduate and graduate students with the appropriate preparation for transitioning to careers in their field after graduation is a key goal of higher education institutions, with many programs employing professional development workshops or courses to assist students and provide hands-on skills in this area. Although a wide variety of activities could benefit students, instructor and career specialist time is limited. Here, we describe an online biotechnology professional development course for undergraduate and graduate students, covering career exploration and the job search process, and the students’ perceptions of the activities offered based on survey data. Overall response to the course was positive, with students at various stages of their education indicating appreciation of most of the course assignments. Interestingly, students ranked the activities that took the most instructor time, namely review of application materials, mock interviews, and career panels, as the most valuable for their personal development. The career exploration aspects of the course influenced students to be open to new possibilities. However, students struggled to make time to complete the assignments for a fully online, largely asynchronous course. Discussion of the value of the course activities, their relevance to social cognitive career theory and cognitive information processing, and suggestions for smooth implementation are provided.

Early Identification of Cognitive Impairment in Community Environments Through Modeling Subtle Inconsistencies in Questionnaire Responses: Machine Learning Model Development and Validation.

The underdiagnosis of cognitive impairment hinders timely intervention of dementia. Health professionals working in the community play a critical role in the early detection of cognitive impairment, yet still face several challenges such as a lack of suitable tools, necessary training, and potential stigmatization. This study explored a novel application integrating psychometric methods with data science techniques to model subtle inconsistencies in questionnaire response data for early identification of cognitive impairment in community environments. This study analyzed questionnaire response data from participants aged 50 years and older in the Health and Retirement Study (waves 8-9, n=12,942). Predictors included low-quality response indices generated using the graded response model from four brief questionnaires (optimism, hopelessness, purpose in life, and life satisfaction) assessing aspects of overall well-being, a focus of health professionals in communities. The primary and supplemental predicted outcomes were current cognitive impairment derived from a validated criterion and dementia or mortality in the next ten years. Seven predictive models were trained, and the performance of these models was evaluated and compared. The multilayer perceptron exhibited the best performance in predicting current cognitive impairment. In the selected four questionnaires, the area under curve values for identifying current cognitive impairment ranged from 0.63 to 0.66 and was improved to 0.71 to 0.74 when combining the low-quality response indices with age and gender for prediction. We set the threshold for assessing cognitive impairment risk in the tool based on the ratio of underdiagnosis costs to overdiagnosis costs, and a ratio of 4 was used as the default choice. Furthermore, the tool outperformed the efficiency of age or health-based screening strategies for identifying individuals at high risk for cognitive impairment, particularly in the 50- to 59-year and 60- to 69-year age groups. The tool is available on a portal website for the public to access freely. We developed a novel prediction tool that integrates psychometric methods with data science to facilitate "passive or backend" cognitive impairment assessments in community settings, aiming to promote early cognitive impairment detection. This tool simplifies the cognitive impairment assessment process, making it more adaptable and reducing burdens. Our approach also presents a new perspective for using questionnaire data: leveraging, rather than dismissing, low-quality data.