Search Results (158)

Metacognitive monitoring plays a crucial role in self-regulated learning, as accurate monitoring enables effective control, which in turn impacts learning outcomes. Most studies on metacognitive monitoring have focused on learners’ monitoring abilities when they are explicitly prompted to monitor. However, in real-world educational settings, learners are more often prompted to control their learning, such as deciding whether to allocate additional time to a learning target. The primary goal of this study was to investigate whether retrieval is engaged when learners are explicitly prompted to control their learning processes by making study decisions. To address this, three experiments were conducted. In Experiment 1, participants (N = 39) studied 70 Swahili–English word pairs in a learning task. Each trial displayed a word pair for 8 s, followed by a distractor task (a two-digit mental addition) and a study decision intervention (choose “Study Again” or “Next”). After learning, participants provided a global judgment of learning (JOL), estimating their overall recall accuracy. Finally, they completed a cued recall test (Swahili cue). Responses were scored for accuracy and analyzed alongside study decisions, study decision reaction time (RT), and metacognitive judgments. Reaction times (RTs) for study decisions correlated positively with test accuracy, global judgments of learning (JOLs), and judgments of confidence (JOCs), suggesting retrieval likely underlies these decisions. Experiment 2 (N = 74, between-subjects) compared memory performance and intervention response time between single-study, restudy, retrieval (explicit recall prompt), and study decision (study decision prompt) groups to have better control over study time and cognitive processes. Although no significant group differences in test accuracy emerged, the retrieval group took longer to respond than the study decision group. Within-subject analyses revealed similar recall accuracy patterns: participants recalled successfully retrieved or “no restudy” items better than failed-retrieval or “restudy” items, implying shared cognitive processes underlying retrieval and study decision interventions. Experiment 3 (N = 74, within-subject, three learning conditions: single-study, retrieval, and study decision) replicated these findings, with no condition effects on test accuracy but longer RT for retrieval than study decisions. The similar recall accuracy patterns between retrieval and study decision interventions further supported shared cognitive processes underlying both tasks. Self-reports across experiments confirmed retrieval engagement in both retrieval and study decision interventions. Collectively, the results suggest that retrieval likely supports study decisions but may occur less frequently or less deeply than under explicit monitoring prompts. Additionally, this study explored objective, online measures to detect retrieval-based metacognitive monitoring. Full article

Background/Objectives: Prior research suggest that poor working memory significantly contributes to the growth of overweight and obesity. This study investigated the behavioral and neural aspects of general and food-specific working memory in females with overweight or obesity (OW/OB). Method: A total of 54 female participants, with 26 in the OW/OB group and 28 in the normal-weight (NW) group, completed a general and a food-related two-back task while an EEG was recorded. Results: In the general task, the OW/OB group showed significantly poorer performance (higher IES) than the NW group (p = 0.018, η² = 0.10), with reduced theta power during non-target trials (p = 0.040, η² = 0.08). No group differences were found for P2, N2, or P3 amplitudes. In the food-related task, significant group × stimulus interactions were observed. The OW/OB group showed significantly higher P2 amplitudes in high-calorie (HC) versus low-calorie (LC) food conditions (p = 0.005, η² = 0.15). LPC amplitudes were greater in the OW/OB group for HC targets (p = 0.036, η² = 0.09). Alpha power was significantly lower in OW/OB compared to NW in HC non-targets (p = 0.030, η² = 0.09), suggesting a greater cognitive effort. Conclusions: These findings indicate that individuals with OW/OB exhibit deficits in general working memory and heightened neural responses to high-calorie food cues, particularly during non-target inhibition. The results suggest an interaction between reward salience and cognitive control mechanisms in obesity. Full article

Background/Objectives: Food-related memory influences appetite regulation, with memory inhibition potentially reducing cravings. While obesity is linked to inhibitory deficits, how restrained eating affects memory suppression in healthy-weight individuals remains unclear. This study examined the cognitive and neural mechanisms of food-memory suppression in young women. Methods: Forty-two female participants completed a think/no-think task with high-/low-calorie food cues while an EEG was recorded. Event-related potentials (ERPs) were assessed and time–frequency analyses (theta/beta oscillations) were performed. Results: Restrained eaters showed reduced memory control for both food types. The ERP analysis revealed significant N200 amplitude differences between think/no-think conditions (p = 0.03) and a significant interaction between food calories and think/no-think conditions (p = 0.032). Theta oscillations differed by group, food calories, and conditions (p = 0.038), while beta oscillations reflected food-cue processing variations. Conclusions: In conclusion, restrained eaters exhibit distinct neural processing and attenuated food-memory suppression. These results elucidate the neurocognitive mechanisms underlying dietary behavior, suggesting that targeted interventions for maladaptive eating could strengthen memory inhibition. Full article

Multisensory integration is crucial for effective cognitive functioning, especially in complex tasks such as those requiring rapid audiovisual information processing. High-level martial arts routine athletes, trained in integrating visual and auditory cues for performance, may exhibit superior abilities in cross-audiovisual integration. This study aimed to explore whether these athletes demonstrate an expert advantage effect in audiovisual integration, particularly focusing on whether this advantage is due to enhanced automatic auditory processing. A total of 165 participants (81 male, 84 female) were included in three experiments. Experiment 1 (n = 63) used a cross-audiovisual Rapid Serial Visual Presentation (RSVP) paradigm to compare the martial arts routine athlete group (n = 31) with a control group (n = 33) in tasks requiring target stimulus identification under audiovisual congruent and incongruent conditions. Experiment 2 (n = 52) manipulated the synchronicity of auditory stimuli to differentiate between audiovisual integration and auditory alerting effects. Experiment 3 (n = 50) combined surprise and post-surprise tests to investigate the role of automatic auditory processing in this expert advantage. Experiment 1 revealed that martial arts routine athletes outperformed the control group, especially in semantically incongruent conditions, with significantly higher accuracy at both lag3 (p < 0.001, 95% CI = [0.165, 0.275]) and lag8 (p < 0.001, 95% CI = [0.242, 0.435]). Experiment 2 found no significant difference between groups in response to the manipulation of auditory stimulus synchronicity, ruling out an alerting effect. In Experiment 3, martial arts routine athletes demonstrated better performance in reporting unexpected auditory stimuli during the surprise test, indicating enhanced automatic processing capacity. Additionally, a significant improvement in working memory re-selection was observed in the martial arts routine group. The expert advantage effect observed in martial arts routine athletes is attributable to enhanced cross-audiovisual integration, independent of an auditory alerting mechanism. Long-term training improves the efficiency of working memory re-selection and the ability to inhibit conflicting information, suggesting that the expanded capacity for automatic auditory processing underpins their multisensory integration advantage. Full article

In this study, four types of fall detection systems for seniors living alone using x-y scatter and Doppler range images measured from frequency-modulated continuous wave (FMCW) millimeter-wave (mmWave) sensors were introduced. Despite advancements in fall detection, existing long short-term memory (LSTM)-based approaches often struggle with effectively distinguishing falls from similar activities of daily living (ADLs) due to their uniform treatment of all time steps, potentially overlooking critical motion cues. To address this limitation, an attention mechanism has been integrated. Data was collected from seven participants, resulting in a dataset of 669 samples, including 285 falls and 384 ADLs with walking, lying, inactivity, and sitting. Four LSTM-based architectures for fall detection were proposed and evaluated: Raw-LSTM, Raw-LSTM-Attention, HOG-LSTM, and HOG-LSTM-Attention. The histogram of oriented gradient (HOG) method was used for feature extraction, while LSTM networks captured temporal dependencies. The attention mechanism further enhanced model performance by focusing on relevant input features. The Raw-LSTM model processed raw mmWave radar images through LSTM layers and dense layers for classification. The Raw-LSTM-Attention model extended Raw-LSTM with an added self-attention mechanism within the traditional attention framework. The HOG-LSTM model included an additional preprocessing step upon the RAW-LSTM model where HOG features were extracted and classified using an SVM. The HOG-LSTM-Attention model built upon the HOG-LSTM model by incorporating a self-attention mechanism to enhance the model’s ability to accurately classify activities. Evaluation metrics such as Sensitivity, Precision, Accuracy, and F1-Score were used to compare four architectural models. The results showed that the HOG-LSTM-Attention model achieved the highest performance, with an Accuracy of 95.3% and an F1-Score of 95.5%. Optimal self-attention configuration was found at a 2:64 ratio of number of attention heads to channels for keys and queries. Full article

Spatial memory is a critical component of spatial cognition, particularly in unfamiliar environments. As navigation systems become integral to daily life, understanding how individuals with varying spatial abilities respond to different navigation modes is increasingly important. This study employed a virtual driving environment to examine how participants with varying spatial abilities (good or poor) performed under three navigation modes, namely visual, audio, and combined audio–visual navigation modes. A total of 78 participants were divided into two groups, good sense of direction (G-SOD) and poor sense of direction (P-SOD), according to their Santa Barbara Sense of Direction (SBSOD) scores. They were randomly assigned to one of the three navigation modes (visual, audio, audio–visual). Participants followed navigation cues and simulated driving behavior to the end point twice during the learning phase, then completed the route retracing task, recognizing scenes task and recognizing the order task. Significant main effects were found for both SOD group and navigation mode, with no interaction. G-SOD participants outperformed P-SOD participants in route retracing task. Audio navigation mode led to better performance in tasks involving complex spatial decisions, such as turn intersections and recognizing the order. The accuracy of recognizing scenes did not significantly differ across SOD groups or navigation modes. These findings suggest that audio navigation mode may reduce visual distraction and support more effective spatial encoding and that individual spatial abilities influence navigation performance independently of guidance type. These findings highlight the importance of aligning navigation modalities with users’ cognitive profiles and support the development of adaptive navigation systems that accommodate individual differences in spatial ability. Full article

Jurors and other legal decision-makers are often required to make judgments about the likely memory accuracy of another person. Legal systems tend to presume that decision-makers are well-placed to make such judgments (at least in the majority of cases) as a result of their own experiences with memory. However, existing research highlights weaknesses in our abilities to assess the memories of others and suggests that these weaknesses are not easily ameliorated through the provision of information. In this work we examine the accuracy of layperson assessments of “real” eyewitness identifications following observation of a mock crime. We examine whether novel instructions, characteristics and beliefs of assessors, and underlying reasoning strategies are associated with improved or impaired judgment accuracy. The results support prior research in demonstrating a tendency towards over-belief in the accuracy of identifications. They suggest that reliance on what witnesses have said rather than attempts to make inferences from their statements (e.g., in relation to the level of detail provided or non-verbal cues in testimony) is associated with greater accuracy in assessments and that some individual differences and beliefs about memory are also associated with greater accuracy. However, there was no evidence that the instructions tested were effective. We discuss the implications of results for procedure surrounding the evaluation of memory in the legal context. Full article

Following exposure to trauma, avoidance behavior can be protective but also contribute to severe symptoms and interfere with exposure-based therapy. Extinction of fear conditioning by exposure to the same environment or environmental cues that were present during the initial traumatic event but without including the aversive stimulus or stimuli is often used to study post-traumatic stress disorder (PTSD), a condition characterized by an inability to suppress conditioned fear responses. A limitation of this paradigm is that one cannot avoid the context or cues associated with the initial traumatic event. In contrast, in the passive avoidance test, one can escape the environment associated with the aversive stimulus. Genetic factors might modulate the ability to extinguish fear memory. In this study, we compared the effects of distinct human apoE isoforms on the extinction of contextual fear and passive avoidance memory, as well as on subsequent activity levels, depressive-like behavior, and hippocampal levels of tau, in targeted replacement mice. Full article

Background: Target enhancement and non-target suppression are two critical mechanisms underlying representational prioritization in visual working memory (VWM). However, it remains unclear how VWM load modulates these prioritization mechanisms. Methods: Using EEG combined with a retro-cue paradigm, this study investigated how representational prioritization emerges under low (Experiment 1) and high (Experiment 2) memory load conditions. Methods: Behavioral results showed that under low load, both target and non-target items benefited from retro-cue. ERP analyses revealed significantly larger P2 and P3b amplitudes in response to valid compared to neutral retro-cues, whereas no significant contralateral delay activity (CDA) component was observed. Under high load, cueing benefits were restricted to target items, whereas non-target items suffered impaired performance. ERP analyses again showed enhanced P2 and P3b amplitudes for valid compared to neutral retro-cues, but a significant CDA component was also observed. Time–frequency analyses further revealed frontal theta synchronization (ERS) and posterior alpha desynchronization (ERD) under both load conditions. Notably, theta–alpha phase–amplitude coupling (PAC) was significantly stronger for valid than neutral retro-cues under low load, whereas under high load, PAC did not significantly differ between cue conditions. Conclusions: Together, these findings suggest that target enhancement serves as a stable mechanism for representational prioritization, whereas non-target suppression critically depends on resource availability. VWM load systematically shapes representational prioritization through modulation of oscillatory timing characteristics and inter-regional neural coordination. Full article

Book covers are often the first component seen before a reader engages with a book’s contents; therefore, careful consideration is given to the text and image features that constitute their design. This study investigates the effects of the presentation of verbal (text) and visual (image) features on memorability and aesthetic evaluation in the context of book covers. To this aim, 50 participants took part in a memory recognition task in which the same book cover information was encoded in a learning phase, and either text or image features from the book covers acted as an informational cue for memory recognition and aesthetic evaluations. Our results revealed that image features significantly aided memory performance more than text features. Image features that were rated more beautiful were not better recognized as a result. However, differences in memory performance were found in relation to familiarity and, in a non-linear fashion, the extent to which the book’s contents could be inferred from the image’s informational content. Additionally, reading behavior was not found to influence memory performance. These results are discussed with regard to the interplay of text and image informational cues on book cover perception and provide implications for future studies. Full article

The development of automatic methods for early cognitive impairment (CI) detection has a crucial role to play in helping people obtain suitable treatment and care. Video-based analysis offers a promising, low-cost alternative to resource-intensive clinical assessments. This paper investigates visual features (eye blink rate (EBR), head turn rate (HTR), and head movement statistical features (HMSFs)) for distinguishing between neurodegenerative disorders (NDs), mild cognitive impairment (MCI), functional memory disorders (FMDs), and healthy controls (HCs). Following prior work, we improve the multiple thresholds (MTs) approach specifically for EBR calculation to enhance performance and robustness, while the HTR and HMSFs are extracted using methods from previous work. The EBR, HTR, and HMSFs are evaluated using an in-the-wild video dataset captured in challenging environments. This method leverages clinically validated cues and automatically extracts features to enable classification. Experiments show that the proposed approach achieves competitive performance in distinguishing between ND, MCI, FMD, and HCs on in-the-wild datasets, with results comparable to audiovisual-based methods conducted in a lab-controlled environment. The findings highlight the potential of visual-based approaches to complement existing diagnostic tools and provide an efficient home-based monitoring system. This work advances the field by addressing traditional limitations and offering a scalable, cost-effective solution for early detection. Full article

Recent cognitive literary studies of fiction have begun to reveal patterns in the ways authors engage readers’ bodily and environmentally grounded imaginations. This study brings fiction writers’ craft knowledge into conversation with neuroscientific, cognitive, and literary studies of multimodal imagery and other embodied responses to fiction reading. Developed through years of literary experiments, craft knowledge involves using language not just to engage readers’ senses but to broaden their understandings of how senses work. A close analysis of Edwidge Danticat’s craft techniques in Breath, Eyes, Memory (1994) affirms some recent literary and scientific findings on how language can activate readers’ sensory and motor systems. Danticat’s cues to readers’ imaginations present a relational, environmentally engaged kind of sensorimotor experience that may widen scientific understandings of how sensory and motor systems collaboratively ground cognition. By helping diverse readers imagine a young Haitian American woman’s movements, sensations, and emotions, Danticat’s craft also does political work, depicting the inner lives of characters under-represented in widely published fiction. Full article

Background: Executive function—the cognitive processes and abilities used to perform daily activities and solve real-world problems—is crucial for children’s development. However, existing assessments often lack ecological validity, limiting their ability to reflect real-world cognitive performance. This study aims to validate the Preschool Executive Task Assessment (PETA) as a performance-based ecological measure of executive functions in typically developing Israeli children. Methods: Thirty-six typically developing children participated. Parents completed a demographic questionnaire and the Child Evaluation Checklist, while children undertook two Wechsler Intelligence Scale for Children–Revised 95 subtests. Eligible participants completed three performance-based assessments: PETA, the Children’s Kitchen Task Assessment (CKTA), and the Do-Eat. Inter-rater reliability was examined using the intraclass correlation coefficient (ICC), and concurrent validity was assessed via correlations with the CKTA and Do-Eat scores. The Benjamini–Hochberg correction method was used to control false-positive findings. Results: Age showed weak-to-moderate correlations with key performance measures, including total score, completion time, and required cues (−0.48 < r < −0.37, p < 0.05), indicating improved PETA performance with age. Inter-rater reliability for the PETA was high (ICC = 0.84). Significant correlations were found between the PETA completion time and CKTA total score (r = 0.42, p = 0.014), and between working memory and the CKTA total score (r = −0.44, p = 0.008). Additionally, significant correlations were found between the PETA and the Do-Eat (−0.69 < r < 0.55). Conclusions: Although further research is needed to refine its use across diverse populations and settings with larger samples, these preliminary findings support the PETA’s reliability and validity as a performance-based executive function assessment in young children. This study advances ecologically valid assessments and aids clinicians in selecting appropriate tools for evaluating executive functions in early childhood. Full article

During the COVID-19 pandemic, social media platforms emerged as both vital information sources and conduits for the rapid spread of propaganda and misinformation. However, existing studies often rely on single-label classification, lack contextual sensitivity, or use models that struggle to effectively capture nuanced propaganda cues across multiple categories. These limitations hinder the development of robust, generalizable detection systems in dynamic online environments. In this study, we propose a novel deep learning (DL) framework grounded in fine-tuning the RoBERTa model for a multi-label, multi-class (ML-MC) classification task, selecting RoBERTa due to its strong contextual representation capabilities and demonstrated superiority in complex NLP tasks. Our approach is rigorously benchmarked against traditional and neural methods, including, TF-IDF with n-grams, Conditional Random Fields (CRFs), and long short-term memory (LSTM) networks. While LSTM models show strong performance in capturing sequential patterns, our RoBERTa-based model achieves the highest overall accuracy at 88%, outperforming state-of-the-art baselines. Framed within the diffusion of innovations theory, the proposed model offers clear relative advantages—including accuracy, scalability, and contextual adaptability—that support its early adoption by Information Systems researchers and practitioners. This study not only contributes a high-performing detection model but also delivers methodological and theoretical insights for combating propaganda in digital discourse, enhancing resilience in online information ecosystems. Full article

Background: Athletes with expertise in sports show extensive procedural and factual information, enhancing their ability to focus attention, use cues, and anticipate events. This study examined the differentiation of perceptual-cognitive skills by focusing on attentional cues, processing speed, and working memory. Methods: The component skill approach was used to assess differences in sports expertise levels using non-sport-specific cognitive measures of perceptual-cognitive skills. The study involved a total of 127 college athletes with a mean age of 20.23 years (SD = 3.08) and an average of 10.99 years of training. Among these participants, there were 43 female athletes with a mean age of 20.23 years (SD = 3.32) and 84 male athletes with a mean age of 20.22 years (SD = 2.98). We analyzed the cohort of students who did not engage in regular sports training, identifying them as the control group for our study. A multivariate analysis of variance (MANOVA) was employed to analyze the measures of the SPT and CBT perceptual-cognitive tasks, treating them as separate dependent variables. The categorization of elite levels and participants is outlined below: there are 41 semi-elite athletes, 70 competitive elite athletes, 12 successful elite athletes, and 4 world-class elite athletes. Results: There were no differences in semi-elite and competitive elite athletes’ perceptual-cognitive skills regarding visual-spatial reaction time (Wilks’ λ = 0.956, p > 0.05), but there was a significant difference in the working memory span (Wilks’ λ = 0.804, p < 0.05). Conclusions: The study reports that elite college athletes have higher working memory, which is crucial for sport performance, compared to semi-elite athletes. However, no between-group differences were observed in reaction time. Full article