Cognitive Processing最新文献

Metaphorical sentences are assumed to be related to more costly processes than their literal counterparts. However, given their frequent use in our daily lives, metaphorical sentences "must come with a benefit" (Noveck et al. Metaphor Symb 16:109-121. https://doi.org/10.1080/10926488.2001.9678889 , 2001). In this paper, we investigated whether metaphorical sentences were better remembered than their literal counterparts. In addition, we were interested in assessing whether the relevance of the metaphors impacted this recall. Anchoring this hypothesis in the appraisal theory, we hypothesized that food-related metaphorical sentences may be particularly relevant when one is hungry, and consequently, be better remembered in that particular physiological state. Participants were presented with randomized metaphorical sentences and their literal counterparts and were later asked to remember the missing word in both metaphorical and literal sentences. General mixed model analyses revealed that metaphorical sentences were better remembered. However, there was no significant effect of hunger. We discuss these results in relation to (1) the metaphor literature and (2) the appraisal theory of emotion.

Verification of the effectiveness of motor imagery (MI) has mainly focused on the method of implementing MI, and few studies have assessed individual factors. This study examined the individual differences in MI effects from the viewpoint of the multiple components of working memory. Forty-six healthy subjects (mean age 20.8 years) performed the Stroop Test (central executive within working memory) and reverse chanting (phonological loop within working memory). Then, F-waves were measured at rest for 30 s, the Purdue Pegboard was performed with the non-dominant hand to evaluate finger dexterity (Peg score) before MI, F-waves were measured during 30 s of kinesthetic MI, and the Peg score was evaluated after MI. For statistical analysis, the amplitude F/M ratio and Peg score were used as dependent variables, and the subjects were divided into Good and Poor groups according to cognitive function. The results showed an interaction for the amplitude F/M ratio and Peg score when grouped by reverse inverse chanting. In the subsequent simple main effect analysis, the Peg score was significantly improved after MI in both groups. The amplitude F/M ratio was significantly increased during MI compared to the resting state only in the Poor phonological loop group. Conversely, there was no interaction when the groups were divided by Stroop interference. No relationship was found between individual differences in central executive and changes in hand finger dexterity and spinal motor nerve excitability induced by MI. However, there may be a relationship between individual differences in phonological loops and changes in MI-induced finger dexterity and spinal motor nerve excitability.

Task-switching is commonly used to investigate working memory and attentional control processes. The current study compares predictive versus non-predictive task-sequencing effects on task-switching performance. Participants completed four blocks of the Consonant-Vowel/Odd-Even (CVOE) task: Two single task pure blocks, a predictable switch block where task switching occurred every two trials, and a random switch block where switching was unpredictable. In addition to mean error rates and response times (RTs), we assessed sequence effects on local switch costs (i.e., switch vs. nonswitch trials) and global costs (i.e., nonswitch vs. pure trials) for both error rates and RTs along with their underlying distributions. Overall, we show that while predictive and random switching produced similar patterns for mean error rates and RTs, a dissociation occurred in RT switch costs. When switching was random, local costs were inflated. In contrast, predictive switching increased global costs. Increased local costs for random versus predictive switching reflect an increase in task-set reconfiguration processes as participants struggle to reconfigure to an unpredictable task type in working memory on a subsequent trial. Separately, increased global costs for predictive switching reflect declines in task-set maintenance processes, as participants must maintain both task types in working memory while simultaneously monitoring their progress through the trial sequencing.

People's preferences for the utilitarian outcome in sacrificial moral dilemmas, where a larger group of individuals are saved at the cost of a few, have been argued to be influenced by various factors. Taking expected utility (EU) theory into consideration, we investigate whether the expected effectiveness of actions elucidate certain inconsistencies in moral judgments. Additionally, we also explore whether participants' role in the dilemma as the executor or a superior who merely makes a decision, which is carried out by a subordinate, influences judgments-a factor generally overlooked by classical EU models. We test these hypotheses using a modified moral dilemma paradigm with a choice between two actions, one highly successful and the other more likely to fail. Both actions are either expected to result in a favorable outcome of saving five individuals by sacrificing one or an unfavorable outcome of sacrificing five to save one. When the efficient action is anticipated to lead to a favorable outcome, in line with EU models, people almost invariably choose the efficient action. However, in conditions where the EUs associated with efficient and inefficient actions are close to each other, people's choice for favored outcome is above chance when they act as agents themselves. We discuss the implications of our results for existing theories of moral judgments.

Driving is a complex task necessitating an intricate interplay of sensory, motor, and cognitive abilities. Extensive research has underscored the role of neurocognitive functions, including attention, memory, executive functions, and visuospatial skills, in driving safety and performance. Despite evidence suggesting cognitive training's potential in enhancing driving abilities, comprehensive cognitive training's impact on driving performance in young adult drivers remains unexplored. Our study aimed to fill this gap by implementing an intensive, 8-week, multidomain computerized cognitive training program and assessing its transfer effects on the driving performance of young adult drivers, using a high-fidelity simulator. The study employed a randomized controlled trial design, with passive control group. The mixed-design analysis of variance (ANOVA) revealed a notable interaction between the time of testing and the respective participant groups concerning driving performance. Post hoc analyses showed that, compared to the control group, participants undergoing cognitive training demonstrated significantly fewer traffic infractions in the post-training evaluation. These findings suggest that cognitive training could be a useful tool for enhancing driving safety and performance in young adult drivers. Further research should aim to address the limitations posed by the absence of an active control group.

Advocates of the science of reading have invoked the simple view of reading (SVR) to justify an approach that foregrounds decoding in early reading instruction. SVR describes reading comprehension as the product of decoding and listening comprehension. The current study examined the complexity of the SVR, focusing on the phonological and orthographic decoding in third-grade readers of Chinese. One hundred and forty-three students participated in this study. The measures included phonological decoding (pinyin invented spelling), orthographic decoding, listening comprehension and reading comprehension. Drawing upon regression analyses and multivariate path models, the study found that phonological decoding at both segmental and suprasegmental processing significantly predicted Chinese reading comprehension, yet a more significant effect of orthographic decoding surfaced. And the best-fitting model suggested listening comprehension was better characterized as a mediator rather than a covariance with decoding component in the decoding-reading relation when orthographic decoding was incorporated into decoding component to evaluate the validity of the SVR in Chinese. The results imply that orthographic decoding is a legitimate decoding component and that the two decoding constructs alone are insufficient for higher-level reading ability (reading comprehension) since the contribution appears to be mediated through the path route of oral language capacity (indexed by listening comprehension). This enriches the current understanding of the SVR in non-alphabetic languages and indicates that decoding training on both phonological and orthographic dimension should be highlighted in early Chinese reading instruction.

Despite significant public concerns voiced about wearing face masks and reports from healthcare workers of adverse effects on cognition, research into potential adverse effects remains limited. The present trial investigated the effects of wearing a surgical face mask for prolonged periods on cognitive functioning and mood. We tested 42 university students (18-36 years old) using a controlled counterbalanced crossover design that involved a mask session and a control session, separated by 1 week. The two sessions were identical except that on the day of the mask session, participants were asked to wear a surgical mask for at least 8 h and to continue wearing it while visiting our laboratory, during which cognitive performance and mood were assessed as per the control session. Results showed that participants reported feeling less happy and more tense during the mask session compared to no-mask control. Additionally, cognitive performance differed between the two sessions for a selective attention task, reflecting slower response latencies during the mask session, which for the most part appeared to be driven by those who felt anxious wearing the mask. Although significant differences emerged for only two of six mood scales and one of eight cognitive tests, the evidence of adverse effects in a university population signals a need for research investigating vulnerable populations. Individuals with elevated anxiety may be particularly important to target.Trail Registration: This randomized controlled trial was retrospectively registered (ACTRN12620001215910). Date registered: 16/11/2020, retrospectively registered.

Critical thinking as one of the key skills for success in the 21st-century has been considered by many scholars in teacher education. This study tries to examine the interaction of critical thinking disposition with two other key characteristics of successful teachers: cognitive flexibility and self-efficacy. To this end, a sample of pre-service English as a Foreign Language (EFL) teachers was selected for this study. Based on the findings, a positive and strong relationship between cognitive flexibility and critical thinking disposition, and a positive and robust correlation between self-efficacy and critical thinking disposition were observed. Hence, it can be suggested that teacher-educationists can use this link for designing teacher-training courses with tailored tasks for both in and pre-service teachers. The main contribution of the findings might be beneficial for homogenizing teacher-training courses around the globe with the 21st-century trends. In addition, this line of research can be followed by empirical studies for checking the effectiveness of tailored tasks for provoking teachers' critical thinking dispositions, cognitive flexibility, and self-efficacy in teaching activities.

In this work, we propose a Distributional Semantic resource enriched with linguistic and lexical information extracted from electronic dictionaries. This resource is designed to bridge the gap between the continuous semantic values represented by distributional vectors and the discrete descriptions provided by general semantics theory. Recently, many researchers have focused on the connection between embeddings and a comprehensive theory of semantics and meaning. This often involves translating the representation of word meanings in Distributional Models into a set of discrete, manually constructed properties, such as semantic primitives or features, using neural decoding techniques. Our approach introduces an alternative strategy based on linguistic data. We have developed a collection of domain-specific co-occurrence matrices derived from two sources: a list of Italian nouns classified into four semantic traits and 20 concrete noun sub-categories and Italian verbs classified by their semantic classes. In these matrices, the co-occurrence values for each word are calculated exclusively with a defined set of words relevant to a particular lexical domain. The resource includes 21 domain-specific matrices, one comprehensive matrix, and a Graphical User Interface. Our model facilitates the generation of reasoned semantic descriptions of concepts by selecting matrices directly associated with concrete conceptual knowledge, such as a matrix based on location nouns and the concept of animal habitats. We assessed the utility of the resource through two experiments, achieving promising outcomes in both the automatic classification of animal nouns and the extraction of animal features.

This study explores the impact of inductive and deductive aural vocabulary pre-teaching on word recognition from speech (WRS) among 72 Iranian EFL intermediate learners from a language institute. Participants were randomly divided into three groups: Group A (inductive), Group B (deductive), and Group C (routine instruction of the language institute). Each group consisted of 24 participants, with 12 male and 12 female intermediate EFL learners. Assessments included pre-test, immediate post-test, and delayed post-test. Statistical analyses, including mixed ANOVA, one-way ANOVA, Scheffe tests, and paired samples t-tests, were conducted. Results indicated superior performance in experimental groups with no significant difference between inductive and deductive methods, showcasing lasting effects on WRS. This study provides valuable insights for language educators, learners, curriculum designers, and institutes to enhance EFL listening proficiency through aural vocabulary instructions.