Cognitive Load Research Articles

Does participating in online communities enhance the effectiveness and experience of micro-learning? Evidence from a randomized control trial

In the age of information explosion, people are increasingly accustomed to acquiring knowledge during fragmented periods of time, which has contributed to the growing popularity of micro-learning. However, when micro-learning takes place in non-formal or informal settings, it can be easily disrupted and may lack interaction, negatively impacting the learning experience and knowledge acquisition. This study examined the effect of learning communities on knowledge acquisition and learning experience in non-formal micro-learning settings. An 8-module micro-learning course was designed, and 80 participants were divided into an experimental group with a learning community and a control group without one. All participants completed a pre-test and post-test. The results showed significant improvements in post-test scores for both groups, with no notable difference in knowledge acquisition between them. Learners who took notes and repeatedly reviewed the learning content tended to have higher post-test scores. In addition, differences between the groups in terms of mental effort and satisfaction were insignificant. By the end of the course, the control group expressed a stronger desire to join a learning community. Community learners who made significant progress reported enjoying learning within the community, while those who did not regularly check community messages and experienced a decrease in test scores reported that excessive messaging caused distress. These findings have implications for course designers and researchers aiming to enhance micro-learning through online learning communities.

Pengukuran Beban Kerja Mental Mahasiswa Pekerja Fakultas Ekonomi Dan Bisnis Universitas Muhammadiyah Gresik Menggunakan Metode Nasa-TLX

Background – Mental workload is the difference between the workload demands of a task and capacity. Mental workload is a human evaluation or assessment of the limits of attentional load while carrying out tasks optimally, which is influenced by the workload demands of a task and the worker's capacity to handle the task, especially for students who carry out work activities while studying. Therefore, it is necessary to examine how much mental workload is actually borne by student workers so that the negative impacts it causes can be minimized. Aim – To measure the mental workload of student workers at the Faculty of Economics and Business, Muhammadiyah University of Gresik using the NASA-TLX method Design / methodology / approach – The research approach used is Quantitative Descriptive. Quantitative data was obtained from the results of questionnaire responses from student workers at the Faculty of Economics and Business, Muhammadiyah University of Gresik regarding the level of mental workload using the NASA-TLX method. Findings – High mental workload can have a negative impact on a person's mental health, especially for students who work while studying. Mental workload is defined as the difference between task demands and an individual's capacity to handle the task, focusing more on the mental aspect than the physical. Students who work while studying often experience fatigue, lack of time to rest and socialize, and experience sleep disorders and stress which can reduce their academic and work performance. Therefore, it is important to measure and analyze the level of mental workload experienced by student workers in order to reduce its negative impact. The method used to measure mental workload is NASA-TLX (Task Load Index). Conclusion – Student workers at the Faculty of Economics and Business, Muhammadiyah University of Gresik experience a high mental workload, with the time demand indicator (Temporal Demand/TD) having the highest weight and the level of effort (Effort/EF) getting the highest score. The time requirement (TD) indicator most dominantly influences their mental workload, while the level of frustration (FR) has the lowest influence. Overall, their average mental workload score was in the high category, namely 77.64. Research implication – This research is aimed at students who are studying while working, with the aim of measuring the level of mental load that objects experience. The load in question is a high mental workload, with indicators of time requirements (Temporal Demand/TD), level of effort (Effort/EF) and indicators of time requirements (TD), as well as levels of frustration (Frustration/FR). Limitations – The limitations of this research only include the mental workload variable on the research object (student workers)

Deciphering the temporal dynamics of consumer decisions: the interplay of cognitive load and response correctness

This study delves into the impact of visual marketing stimuli on consumer response times, focusing on the complexity and subjectivity of the questions posed. Conducted in Slovakia, the research involved 40 participants (20 men and 20 women, aged 30 to 50 years), all holding university degrees in economics to ensure consistent decision-making experience. Participants were presented with visual stimuli representing four well-known FMCG brands. The stimuli included simple brand preference questions and complex evaluative judgments of offer efficiency. Response times were measured in milliseconds and analyzed using statistical methods, including the Mann-Whitney U test and one-way ANOVA. Results revealed that responses to simple stimuli averaged 1212 ms, while complex stimuli elicited slower responses, averaging 2504 ms. A significant difference was observed for “No” answers in the offer evaluation tasks, with correct “No” responses taking 3000 ms compared to 2297 ms for incorrect ones (p < 0.05), highlighting the cognitive load involved in accurate decision-making. These findings provide valuable insights into the cognitive processes driving consumer decision-making and contribute to the theoretical understanding of how question complexity and subjectivity influence response times. AcknowledgmentThis paper was funded by research grant VEGA 1/0462/23 entitled “Circular economy in the context of societal demands and market limitations“ (100% share).

Analysis of the Laboratory and In-Competition Characteristics of Adolescent Motocross (MX) Riders: An In Situ Case Study

Motocross is one of the most popular high-speed motorcycle races, which takes place on a naturally closed track with significant challenges. This study aimed to characterize anthropometric, circulatory, and lower and upper limb muscle properties based on laboratory and race-recorded characteristics. Male competitors (n = 3) aged 14 years (MX) were included in the study. All three boys have national and international experience. Metabolic characteristics (ventilation, oxygen consumption, and carbon dioxide production) and heart rate (HR) were measured in the laboratory while HR and speed were measured while racing. No significant difference was found between the three competitors in terms of HR during the race. In terms of number of sprints (No. sprint) and maximum speed (Speedmax), we found the most successful runner (highest finisher) to have the most sprints and maximum speed. Comparing the metabolic characteristics, it was found that racing was between the respiratory breakpoint (VT1) and the respiratory compensation point (RCP), but, in several cases, crossed the anaerobic threshold. While motocross riders are exposed to extreme conditions and high physical demands, in motorsport, victories depend not only on the athlete’s physical abilities but also on several factors such as driving technique, mental effort, equipment efficiency and resistance, race strategy, and team competence.

Mental effort during mindless reading? Pupil fluctuations indicate internal processing during levels of inattention.

Mind wandering, an experience characterized by a reduced external focus of attention and an increased internal focus, has seen significant theoretical advancement in understanding its underlying cognitive processes. The levels-of-inattention hypothesis posits that in mind wandering, external attention is reduced in a graded fashion, reflecting different levels of weak versus deep attentional decoupling. However, it has remained unclear whether internal processing during mind wandering, and mindless reading in particular, requires effort and, if so, whether it is graded or distinct. To address this, we analyzed pupil size as a measure of cognitive load in the sustained-attention-to-stimulus task during text reading. We examined whether decoupled external attention is linked to an overall reduction in workload and whether internal focus of attention is graded or represents a distinct cognitive process. Overall, overlooking errors in the text was associated with a small pupil size, indicating reduced effortful processing. However, this effect varied with error type: overlooking high- or medium-level errors (weak decoupling) resulted in reduced pupil size, while overlooking low-level errors (deep decoupling) had no effect on pupil size. Moreover, detecting an error (at any processing level) elicited a task-evoked pupillary response, which was absent when it was overlooked. These findings suggest that weak decoupling reduces internal resource-demanding processing and are in line with the hypothesis that large pupils during deep decoupling may be associated with distinct states of effortful internal processing. They further support both the levels-of-inattention hypothesis and the notion that internal focus is a distinct mode of deeply decoupled processing. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Commentator Discussion: A novel, multimodal, intraoperative cognitive workload assessment of cardiac surgery team members

Commentator Discussion: A novel, multimodal, intraoperative cognitive workload assessment of cardiac surgery team members

SimpleSets: Capturing Categorical Point Patterns with Simple Shapes.

Points of interest on a map such as restaurants, hotels, or subway stations, give rise to categorical point data: data that have a fixed location and one or more categorical attributes. Consequently, recent years have seen various set visualization approaches that visually connect points of the same category to support users in understanding the spatial distribution of categories. Existing methods use complex and often highly irregular shapes to connect points of the same category, leading to high cognitive load for the user. In this paper we introduce SimpleSets, which uses simple shapes to enclose categorical point patterns, thereby providing a clean overview of the data distribution. SimpleSets is designed to visualize sets of points with a single categorical attribute; as a result, the point patterns enclosed by SimpleSets form a partition of the data. We give formal definitions of point patterns that correspond to simple shapes and describe an algorithm that partitions categorical points into few such patterns. Our second contribution is a rendering algorithm that transforms a given partition into a clean set of shapes resulting in an aesthetically pleasing set visualization. Our algorithm pays particular attention to resolving intersections between nearby shapes in a consistent manner. We compare SimpleSets to the state-of-the-art set visualizations using standard datasets from the literature.

The effect of blended learning on mathematics cognitive demand and cognitive load in learning calculus of several variables at universities in Tigray, Ethiopia

The overall objective of this study was to examine the effect of blended learning on improving students’ mathematical cognitive demand and their extraneous and germane cognitive load in learning calculus of several variables. Guided by constructivist and cognitive load theories, a quasi-experimental design was conducted in three public universities. A total of 67 second-year undergraduate mathematics students participated for 4 months. The study used a mixed research method with social constructivism augmented by pragmatism. Data were analysed using analysis of co-variance procedure and thematic analysis and discussed using both quantitative and qualitative methods. The findings revealed that the treatment group students’ mathematical cognitive demand (treatment (TG1) (M = 70.9, SD = 10.8) and treatment (TG2) (M = 69.3, SD = 20.5) were significantly higher than the posttest scores of students in the comparison group in CG (M = 58.8, SD = 13.5), (p = 0.00)) with effect size of 0.25. Moreover, their germane cognitive load had improved and extraneous cognitive load reduced significantly compared to the comparison group. To conclude, mathematics cognitive demand can be improved with blended learning. These findings imply that blending mathematics instruction in higher education institutions is useful to policymakers. The finding also revealed that cognitive load was found a negative and significant predictor of mathematics cognitive demand.

Restoration of grasping in an upper limb amputee using the myokinetic prosthesis with implanted magnets.

The loss of a hand disrupts the sophisticated neural pathways between the brain and the hand, severely affecting the level of independence of the patient and the ability to carry out daily work and social activities. Recent years have witnessed a rapid evolution of surgical techniques and technologies aimed at restoring dexterous motor functions akin to those of the human hand through bionic solutions, mainly relying on probing of electrical signals from the residual nerves and muscles. Here, we report the clinical implementation of an interface aimed at achieving this goal by exploiting muscle deformation, sensed through passive magnetic implants: the myokinetic interface. One participant with a transradial amputation received an implantation of six permanent magnets in three muscles of the residual limb. A truly self-contained myokinetic prosthetic arm embedding all hardware components and the battery within the prosthetic socket was developed. By retrieving muscle deformation caused by voluntary contraction through magnet localization, we were able to control in real time a dexterous robotic hand following both a direct control strategy and a pattern recognition approach. In just 6 weeks, the participant successfully completed a series of functional tests, achieving scores similar to those achieved when using myoelectric controllers, a standard-of-care solution, with comparable physical and mental workloads. This experience raised conceptual and technical limits of the interface, which nevertheless pave the way for further investigations in a partially unexplored field. This study also demonstrates a viable possibility for intuitively interfacing humans with robotic technologies.

Kinematic and neuromuscular characterization of cognitive involvement in gait control in healthy young adults.

The signature of cognitive involvement in gait control has rarely been studied using both kinematic and neuromuscular features. The present study aimed to address this gap. Twenty-four healthy young adults walked on an instrumented treadmill in a virtual environment under two optic flow conditions: normal (NOF) and perturbed (POF, continuous mediolateral pseudorandom oscillations). Each condition was performed under single-task and dual-task conditions of increasing difficulty (1-, 2-, 3-back). Subjective mental workload (raw NASA-TLX), cognitive performance (mean reaction time and d-prime), kinematic (steadiness, variability and complexity in the mediolateral and anteroposterior directions) and neuromuscular (duration and variability of motor primitives) control of gait were assessed. The cognitive performance and the number and composition of motor modules were unaffected by simultaneous walking, regardless of the optic flow condition. Kinematic and neuromuscular variability was greater under POF compared to NOF conditions. Young adults sought to counteract POF by rapidly correcting task-relevant gait fluctuations. The depletion of cognitive resources through dual-tasking led to reduced kinematic and neuromuscular variability and this occurred to the same extent regardless of simultaneous working memory (WM) load. Increasing WM load led to a prioritization of gait control in the mediolateral direction over the anteroposterior direction. The impact of POF on kinematic variability (step velocity) was reduced when a cognitive task was performed simultaneously, but this phenomenon was no modulated by WM load. Collectively, these results shed important light on how young adults adjust the processes involved in goal-directed locomotion when exposed to varying levels of task and environmental constraints.

Fronto-Central Changes in Multiple Frequency Bands in Active Tactile Width Discrimination Task.

The neural basis of tactile processing in humans has been extensively studied; however, the neurophysiological basis of human width discrimination remains relatively unexplored. In particular, the changes that occur in neural networks underlying active tactile width discrimination learning have yet to be described. Here, it is hypothesized that subjects learning to perform the active version of the width discrimination task would present changes in behavioral data and in the neurophysiological activity, specifically in networks of electrodes relevant for tactile and motor processing. The specific hypotheses tested here were that the performance and response latency of subjects would change between the first and the second blocks; the power of the different frequency bands would change between the first and the second blocks; electrode F4 would encode task performance and response latency through changes in the power of the delta, theta, alpha, beta, and low-gamma frequency bands; the relative power in the alpha and beta frequency bands in electrodes C3 and C4 (Interhemispheric Spectral Difference-ISD) would change because of learning between the first and the second blocks. To test this hypothesis, we recorded and analyzed electroencephalographic (EEG) activity while subjects performed a session where they were tested twice (i.e., two different blocks) in an active tactile width discrimination task using their right index finger. Subjects (n = 18) presented high performances (high discrimination accuracy) already in their first block, and therefore no significant improvements were found in the second block. Meanwhile, a reduction in response latency was observed between the two blocks. EEG recordings revealed an increase in power for the low-gamma frequency band (30-45 Hz) for electrodes F3 and C3 from the first to the second block. This change was correlated with neither performance nor latency. Analysis of the neural activity in electrode F4 revealed that the beta frequency band encoded the subjects' performance. Meanwhile, the delta frequency band in the same electrode revealed a complex pattern where blocks appeared clustered in two different patterns: an Upper Pattern (UP), where power and latency were highly correlated (Rho = 0.950), and a sparser and more uncorrelated Lower Pattern (LP). Blocks belonging to the UP or LP patterns did not differ in performance and were not specific to the first or the second block. However, blocks belonging to the LP presented an increase in response latency, increased variability in performance, and an increased ISD in alpha and beta frequency bands for the pair of electrodes C3-C4, suggesting that the LP may reflect a state related to increased cognitive load or task difficulty. These results suggest that changes in performance and latency in an active tactile width discrimination task are encoded in the delta, alpha, beta, and low-gamma frequency bands in a fronto-central network. The main contribution of this study is therefore related to the description of neural dynamics in frontal and central networks involved in the learning process of active tactile width discrimination.

The Role of Mental Work as a Mediator Between Work Stress and Employee Performance

In an increasingly competitive and dynamic world of work, employee performance is a key factor in achieving organizational goals. However, high employee performance is often accompanied by an increase in workload which can cause work stress. This research aims to determine whether work stress has an influence on employee performance through mental workload, the second hypothesis that work mental load can directly influence employee performance, the third hypothesis that work stress has an influence on employee performance and the fourth hypothesis that work stress has an influence on work mental load. This research uses the method that work stress has an influence on employee performance through mental workload, the second hypothesis that work mental load can directly influence employee performance, the third hypothesis that work stress has an influence on employee performance and the fourth hypothesis that work stress has an influence on work mental load. The research method used is a quantitative method with a mediation analysis approach using the help of Smart PLS statistical software. The research results show that (1) mental workload can play a partial role as a mediator between work stress and employee performance, (2) work stress is able to directly influence employee performance, (3) work stress is able to influence mental workload, (4) mental workload can affect employee performance. The implication of this research is that organizations can develop a more holistic approach in managing work stress and mental workload.

Minimize Mental Workload and Fatigue of Horizontal Directional Drilling Worker Using Rating Scale Mental Effort and Swedish Occupational Fatigue Inventory Methods.

Horizontal Directional Drilling (HDD) is a drilling technique that does not damage the groundsurface; the HDD process involves a stage that requires high concentration and physical skills and isoften carried out in challenging working conditions, causing mental Workload and fatigue in HDDworkers. HDD workers should be given improvements in their work methods to be safe whenworking due to being too tired or losing focus. HDDs must be monitored in real-time, which requiresworkers to get good results without errors so that workers experience workload pressure andmental fatigue. This study aims to measure and minimize mental Workload and fatigue in HDDworkers and determine improvement proposals based on the why-why diagram. Mental workloadmeasurement using the RSME method and fatigue using SOFI and why diagrams are used to findcause and effect in mental Workload and fatigue experienced by HDD workers. Based on the analysisof RSME, the scale value obtained based on six indicators of WL, WD, WP, WME, WA, and WF is 92.05,which is in the category of enormous business carried out, and the KiK indicator or fatigue gets thehighest scale value of 106.52 with the business category given is very large so that HDD workersexperience a mental workload. Mental workload and fatigue correlate. Based on the results of SOFI,the sleepiness dimension received a score of 21.83 with a high level of fatigue category. Therefore,the proposed improvement to the causal results of the Why Diagram is adding the workforce,adjusting work shifts, and monitoring and evaluating HDD workers.

Feasibility study on virtual reality-based training for skin cancer screening: Bridging the gap in dermatological education

AbstractDespite growing interest in the inclusion of virtual reality (VR) in medical education, its full potential for immersive and interactive training remains underutilized, particularly in dermatology. As part of a multidisciplinary project, we tested the feasibility of integrating a VR training scenario for a complete skin cancer screening into the curriculum with 58 medical students. The evaluation focused on simulation usability, cognitive task load, immersion, change in perceived competence, suitability, and cybersickness using established and adapted questionnaires. Participants reported rather high levels of system usability and immersion and medium cognitive task load. Self-assessed competence in performing a skin cancer screening increased significantly after the training simulation.Prior skin cancer screening experience correlated positively with self-assessed competence and theoretical knowledge, which themselves were neither related to gender nor age. Age correlated negatively with perceived usability and immersion, enjoyment of learning during the simulation and assessed appropriateness of the simulation to learn a dermatological full-body examination while being positively correlated with perceived cybersickness. Gender was significantly associated with the need for technical help during the simulation and openness to new technologies.As a blueprint of a feasibility evaluation, this study can contribute to further refinement of the presented and relatable VR applications in medical curricula.

Designing a Data Dashboard for Health Departments and Overdose Fatality Review Teams

IntroductionOverdose Fatality Review (OFR) teams within health departments rely on data from multiple isolated sources to study the opioid crisis. Recently, we linked electronic health record data with state agency data to form a regional Substance Misuse Data Commons (SMDC) using privacy-preserving record linkage. Our goal in this study was to use human factors design principles to design a data dashboard for OFR teams using the linked datasets that will overcome current barriers within OFR workflows. MethodsWe utilized NASA task load surveys, semi-structured interviews, and design sessions with end users to identify data needs for an optimal dashboard design. We assessed current workloads, data collection processes, and desired future state. We subsequently performed iterative design sessions for the generation and evaluation of low-fidelity prototypes. To overcome issues with privacy and security, we used synthetic data in a cloud-based platform to represent the SMDC for simulation. ResultsEleven OFR organizers participated. Pre-dashboard surveys on existing workflow showed high mental workload associated with data aggregation and case review, identifying a need for more accessible, comprehensive data. In our low-fidelity dashboard demo with synthetic data, iterative design adjustments were made in data visualization, storyline organizations, and theme-based data aggregation across pre-hospital and hospital data. ConclusionsWe refined the data dashboard prototype into a high-fidelity version, set for further usability and human factors evaluation. We addressed privacy and security concerns through synthetic data use while the real-world data is maintained in a HIPAA-secure Azure cloud environment with access for approved users.

Effects of Homophone Priming on the Decision-Making in Perceptual Color Recognition of Mandarin Speakers

This study delves into the nuanced interactions between language, cognition, and perception by examining the impact of homophones on decision-making and perceptual color recognition among native Mandarin speakers. Drawing on theories of linguistic relativity and cognitive processing, this research hypothesized that homophonic primes would subtly influence both decision-making processes and color recognition tasks. Participants were assigned at random to surveys where they were unknowingly exposed to stimuli with and without homophonic primes before engaging in color recognition tasks involving subtle shade differentiations. Contrary to initial expectations, statistical analysis revealed no significant differences in decision-making accuracy between conditions, suggesting that homophones may not overtly affect conscious decision-making processes in our bilingual cohort. However, intriguing variations emerged in the perceptual color recognition task, where participants exposed to homophonic primes showed tendencies to perceive color shades more similarly compared to those in the control condition. This finding implies a potential cognitive load effect or subtle priming influence on perceptual categorization tied to linguistic structures. The implications of these findings challenge traditional views on language's role in shaping cognitive processes, highlighting the complexity of how linguistic structures such as homophones may operate at subconscious levels. The study contributes to ongoing debates in cognitive science and linguistics by underscoring the need for nuanced approaches to understanding cross-linguistic cognitive mechanisms. Future research should further explore the Whorfian hypothesis within bilingual contexts, considering additional variables such as language proficiency and cultural influences to elucidate the intricate relationship between language and cognition.

Enhancing user experience and trust in advanced LLM-based conversational agents

This study explores the enhancement of user experience (UX) and trust in advanced Large Language Model (LLM)-based conversational agents such as ChatGPT. The research involves a controlled experiment comparing participants using an LLM interface with those using a traditional messaging app with a human consultant. The results indicate that LLM-based agents offer higher satisfaction and lower cognitive load, demonstrating the potential for LLMs to revolutionize various applications from customer service to healthcare consultancy and shopping assistance. Despite these positive findings, the study also highlights significant concerns regarding transparency and data security. Participants expressed a need for clearer understanding of how LLMs process information and make decisions. The perceived opacity of these processes can hinder user trust, especially in sensitive applications such as healthcare. Additionally, robust data protection measures are crucial to ensure user privacy and foster trust in these systems. To address these issues, future research and development should focus on enhancing the transparency of LLM operations and strengthening data security protocols. Providing users with clear explanations of how their data is used and how decisions are made can build greater trust. Moreover, specialized applications may require tailored solutions to meet specific user expectations and regulatory requirements. In conclusion, while LLM-based conversational agents have demonstrated substantial advantages in improving user experience, addressing transparency and security concerns is essential for their broader acceptance and effective deployment. By focusing on these areas, developers can create more trustworthy and user-friendly AI systems, paving the way for their integration into diverse fields and everyday use.

Cognitive Load Theory: A Bibliometric Study over a Decade and Pedagogical Implications

Sweller's cognitive load theory has profoundly influenced educational practices since the 1990s. This paper offers a concise introduction to cognitive load theory and presents an analysis of the current state of domestic research on this topic from 2013 to 2022, using the Web of Science Core Collection and the bibliometric software CiteSpace. Looking ahead, cognitive load theory holds the potential to underpin the design of instructional strategies in second language learning for Chinese English learners, thereby improving the efficiency of classroom teaching.

CMAA–AHP: combinatorial multicriteria acceptability analysis with the analytic hierarchy process

AbstractCombinatorial multi-criteria acceptability analysis (CMAA) is a framework for supporting multicriteria group decisions that provides both a detailed analysis of the effects of individual decision-maker inputs as well as interactive guidance for a consensus-building process. The analytical hierarchy process (AHP) is a widely-used model of decision-maker evaluations that is based on pairwise comparisons. The goal of this work is to show how CMAA can be integrated with AHP in order to make its benefits available to AHP users. We use a minimal input format for AHP which avoids a problem with inconsistency and also reduces the cognitive load on the decision-makers. We extend the CMAA method by introducing new judgement and preference sensitivity variables, which provide helpful insights for the facilitator of the group decision. An example illustrates the combined CMAA–AHP method and its ability to deliver consensus in a very small number of iterations. Monte Carlo simulation is used to study the convergence behavior of the method for a range of problem dimensions. It was found that the mean number of steps to reach consensus grows linearly with the number of alternatives and criteria. We consider two previously published group decisions that use the standard AHP approach of averaging decision-maker judgements and preferences. In both cases, CMAA–AHP delivers the same rankings based on the original input. However, the new method also provides insight into each decision and would have been able to guide each group to consensus within a small number of resolution steps.

Augmented Reality in Extra-Vehicular Activities: Optimizing Alert Detection and Cognitive Workload

This study investigates the impact of augmented reality (AR) system complexity (active vs. passive) and lighting conditions (normal, dark, glare) on task performance, cognitive workload, and alert detection during simulated extravehicular activities (EVAs). Fifty-eight undergraduate students participated, using AR systems to complete tasks. Key metrics included task completion rate, completion time, alert detection, and cognitive workload assessed by the NASA Task Load Index (NASA-TLX). Results showed no significant differences in task performance or cognitive workload across lighting conditions and AR types. Notably, less than 15% of participants noticed any alerts, suggesting AR alerts may lack sufficient salience. The study’s lack of significant findings is attributed to the small sample size and potential insensitivity of measures. Future research should involve larger samples and refined methodologies to better understand AR’s impact on astronaut performance and safety during EVAs.