Task Load Index Research Articles

Quantifying the effects of training in lung transplantation: Lessons from NASA

IntroductionSequential lung transplantation is a complex procedure. The traditional training model continues to centre around operative experience with progressively increasing delegation of stages of the procedure. However, little evidence exists on the effects this has on surgical trainers. The NASA-TLX is a subjective, multi-dimensional assessment tool that rates perceived workload. We sought to employ this as a means of assessing the impact that training in lung transplantation has on trainers. MethodsWe prospectively collected the NASA-TLX data for 60 patients undergoing bilateral sequential lung transplantation. In 30 cases the operation was performed entirely by the senior surgeon (SS) who implanted both lungs. In 30 operations the senior surgeon implanted the right lung (SSR) and supervised a trainee implanting the left lung (TL). ResultsThe overall weighted rating was significantly lower for the surgeon undertaking the case themselves rather than training (p <0.001). Cases were comparable in terms of case type, donor ischaemic time and peri-operative characteristics. Mental and temporal demand were greater throughout training cases (p<0.001, p<0.05). There was less effect on frustration, physical demand and effort. Perceived performance showed no significant difference between the groups. ConclusionThe NASA task load index can be used to inform the effects of training lung transplantation on trainers. Training leads to greater mental and temporal demands with less effect on other factors. Crucially, there was no significant difference in perceived performance. As the specialty continues to be confronted with diverse challenges, this study should give confidence to those training the transplant surgeons of the future, as well as providing them with a mechanism to reflect on their own training performance. ACGME CompetenciesInterpersonal and communication skillsPractice-based learning and improvement

The mental workload of ICU nurses performing human-machine tasks and associated factors: A cross-sectional questionnaire survey.

To assess the level of mental workload (MWL) of intensive care unit (ICU) nurses in performing different human-machine tasks and examine the predictors of the MWL. A cross-sectional questionnaire study. Between January and February 2021, data were collected from ICU nurses (n = 427) at nine tertiary hospitals selected from five (east, west, south, north, central) regions in China through an electronic questionnaire, including sociodemographic questions, the National Aeronautics and Space Administration Task Load Index, General Self-Efficacy Scale, Difficulty-assessing Index System of Nursing Operation Technique, and System Usability Scale. Descriptive statistics, t-tests, one-way ANOVA and multiple linear regression models were used. ICU nurses experienced a medium level of MWL (score 52.04 on a scale of 0-100) while performing human-machine tasks. ICU nurses' MWL was notably higher in conducting first aid and life support tasks (using defibrillators or ventilators). Predictors of MWL were task difficulty, system usability, professional title, age, self-efficacy, ICU category, and willingness to study emerging technology actively. Task difficulty and system usability were the strongest predictors of nearly all typical tasks. ICU nurses experience a medium MWL while performing human-machine tasks, but higher mental, temporal, and effort are perceived compared to physical demands. The MWL varied significantly across different human-machine tasks, among which are significantly higher: first aid and life support and information-based human-machine tasks. Task difficulty and system availability are decisive predictors of MWL. This is the first study to investigate the level of MWL of ICU nurses performing different representative human-machine tasks and to explore its predictors, which provides a reference for future research. These findings suggest that healthcare organizations should pay attention to the MWL of ICU nurses and develop customized management strategies based on task characteristics to maintain a moderate level of MWL, thus enabling ICU nurses to perform human-machine tasks better. No patient or public contribution.

Analisis Pengukuran Beban Kerja Mental Pekerja Produksi CV. Hikmah Jaya Garment Menggunakan Metode NASA-TLX dan RSME

Hikmah Jaya Garment is a company that produces various clothing equipment and apparel manufacturing. With the number of production requests that continue to increase every time as well as the application of the make-to-order system which causes an uncertain production schedule, it causes the emergence of its own work demands for workers. These conditions can affect the quality of the production results they are working on, so this study aims to analyze the mental workload experienced by employees at CV. Hikmah Jaya Garment is a reference for providing improvement solutions to increase work productivity. This research uses the National Aeronautics and Space Administration Task Load Index (NASA-TLX) and Rating Scale Mental Effort (RSME) methods through a questionnaire containing factors or indicators of mental workload to workers. Based on the results of calculations and analysis, the average NASA-TLX score is 74.9% and the average RSME score is 83.1%, which means that the mental workload experienced by workers is in a high category with the amount of effort expended included in a large enough category. These high results cause less than optimal worker productivity so there are several recommendations for improvement in the aspects of workload indicators. Keywords: Mental Workload, NASA-TLX, Production, RSME, 5S

Work-Related Hazards and Perceived Confined-Space Health Risk : Understanding the Correlation with Mental Workload Among Farmers in Northern Thailand’s Shallow Wells

ABSTRACT Objectives This study examined factors related to perceived health risks in confined spaces (PCSHR) and their correlation with the mental workload among farmers managing agricultural wells in northern Thailand. Methods A cross-sectional, multi-stage sample of 356 farmers was selected from four rural districts’ agricultural areas. Data were collected through interviews conducted from August to December 2022, using a self-administered structured questionnaire. The five-part questionnaire gathered demographic data, information on experiences and operations in agricultural wells, knowledge of confined spaces, PCSHR, and the six-dimension NASA Task Load Index (TLX) mental workload. Linear regression and multi-variable analyses were used to investigate factors associated with PCSHR, while Pearson correlations tested the association between PCSHR and mental workload variables. Results Most farmers were male (92.4%), worked in wells to install pumping systems (81.7%) and maintain equipment (73.3%), averaging 3.80 times per year, with an average duration of 25.81 minutes. Physical symptoms reported included difficulty breathing (72.8%), feeling swelteringly hot (55.9%), and sweating excessively (27.8%), as well as accidents such as being struck by falling soil or objects (20.2%), and falling into the well while climbing down (14.9%). Farmers’ perceived risk scores were high when working while physically exhausted or unprepared and when assisting an unconscious worker without knowing the gas concentration. In addition, the maximal mental workload scores were mental demand and effort subscale. Factors significantly associated with PCSHR (adj.R 2 = 60.6%, p < .05) encompassed education higher than lower secondary level, current alcohol consumption, smaller well width, assisted operations, number of physical symptoms experienced, absence of environmental accidents, and confined space knowledge, while increased PCSHR was positively associated with mental workload (Overall r = 0.711, p < .01). Conclusion Comprehensive education about potential hazards can improve farmers’ risk perception, potentially reducing mental workload and preventing fatal accidents. Field studies are recommended to develop community-specific work protocols and accurate measuring instruments suitable for rural settings are needed.

Analysis of driver behavior at grade-separated intersections to support design

Understanding driver behaviors in varied traffic scenarios is critical to the design of safe and efficient roadways and traffic control device. This research presents an analysis of driver cognitive workload, situation awareness (SA) and performance for three different scenarios, including a standard intersection and contraflow grade-separated intersections (C-GSI) and quadrant GSI (Q-GSI) with lane assignment sign manipulations. The study used a simulator-based driving experiment with application of the NASA Task Load Index and Situation Awareness Global Assessment Technique to assess the influence of the scenarios on driver behavioral responses. The findings reveal challenges for drivers navigating the C-GSI, characterized by diminished SA and elevated workload. These states were associated with behaviors such as delayed lane changes, missed opportunities for appropriate lane changes, heightened acceleration behavior within deceleration segments, and frequent speeding. In contrast, while drivers in the Q-GSI scenario faced elevated workloads, their SA remained steady, largely due to lane-specific signs facilitating early lane changes. Although the Q-GSI led to increased speed variability and slight increases in deceleration, the use of supplementary speed signage revealed a promising alternative to the S-intersection. Correlation analysis highlighted a significant relationship between mental workload and acceleration responses, indicating that increased acceleration was associated with higher mental workload. In addition, a significant negative correlation between driver perceived performance and absolute lane deviations indicated that drivers with higher self-assessed performance were more accurate in lane-keeping. The study underscores the need for GSIs and signage designs that support driver SA, manage cognitive workload to improve driver performance and increase road safety.

Impact of a virtual reality-based simulation training for shoulder dystocia on human and technical skills among caregivers: a randomized-controlled trial

This study analyzed the adherence to the modified Advanced Life Support in Obstetrics (ALSO) algorithm (HELP-RER) for handling shoulder dystocia (SD) using a virtual reality (VR) training modality. Secondary outcomes were improvements in the post-training diagnosis-to-delivery time, human skills factors (HuFSHI), and perceived task-load index (TLX). Prospective, case–control, single-blind, 1:1 randomized crossover study. Participants were shown a 360° VR video of SD management. The control group was briefed theoretically. Both groups underwent HuFSHI and HELP-RER score assessments at baseline and after the manikin-based training. The TLX questionnaire was then administered. After a washout phase of 12 weeks, we performed a crossover, and groups were switched. There were similar outcomes between groups during the first training session. However, after crossover, the control group yielded significantly higher HELP-RER scores [7 vs. 6.5; (p = 0.01)], with lower diagnosis-to-delivery-time [85.5 vs. 99 s; (p = 0.02)], and TLX scores [57 vs. 68; (p = 0.04)]. In the multivariable linear regression analysis, VR training was independently associated with improved HELP-RER scores (p = 0.003). The HuFSHI scores were comparable between groups. Our data demonstrated the feasibility of a VR simulation training of SD management for caregivers. Considering the drawbacks of common high-fidelity trainings, VR-based simulations offer new perspectives.

User Experience Evaluation of a Spinal Surgery Robot: Workload, Usability, and Satisfaction Study.

Robotic spine surgery has continued to evolve since its US Food and Drug Administration approval in 2004, with products now including real-time video guidance and navigation during surgery. As the market for robotic surgical devices evolves, it is important to consider usability factors. The primary objective of this study was to determine the user experience of a surgical-assistive robotic device. The secondary objective was to evaluate workload, usability, the After-Scenario Questionnaire (ASQ), and the System Usability Scale (SUS). In addition, this study compares the workload, usability, and satisfaction survey of the device among different occupational groups using the device. Doctors (n=15) and nurses (n=15), the intended users of the surgical assistant robot, participated in the usability evaluation. Participants performed essential scenarios for the surgical assistant robot and provided scenario-specific satisfaction (ASQ), workload (NASA Task Load Index), and usability (SUS) scores. Both doctors and nurses had task success rates of 85% or higher for each scenario. ASQ results showed that both doctors and nurses were least satisfied with ease of completing the task of registration (group 1: mean 4.73, SD 1.57 and group 2: mean 4.47, SD 1.8), amount of time it took (group 1: mean 4.47, SD 1.63 and group 2: mean 4.40, SD 2.09), and support information satisfaction (group 1: mean 5.13, SD 1.50 and group 2: mean 5.13, SD 1.89). All participants had low workloads, and the overall Task Load Index score had a P value of .77, which is greater than .05. The SUS results showed that the overall usability mean for doctors was 64.17 (SD 16.52) and the mean for nurses was 61.67 (SD 19.18), with a P value of .84, which is greater than .05, indicating no difference between the 2 groups. In this study, doctors and nurses evaluated the interaction of the device in a simulated environment, the operating room. By evaluating the use experience and usability of the device with real intended users, we can develop a more effective and convenient user interface.

Low back pain and perceived psychological workload among electricians

IntroductionLow back pain (LBP) is a serious threat to electricians. It is well known that LBP is associated with physical strain. But the impact of psychological workload on the occurrence of LBP needs further investigation.ObjectivesThis study aimed to assess the link between LBP and perceived psychological workload among electricians.MethodsThe study was conducted with a sample of workers from a Tunisian Electricity society. Data were gathered between January-June 2022 using a self-administered questionnaire including socio-professional characteristics and the Nordic musculoskeletal questionnaire during the last 12 months and the last 7 days. To assess the perceived workload, we used the National Aeronautics and Space Administration Task Load Index (NASA-TLX). In this study, we evaluated raw NASA-TLX scores.Results Our study included 68 male electricians. The mean age was 39.2 ± 10.3 years. The average job tenure was 16± 11.4 years. According to the Nordic musculoskeletal questionnaire, 32.4% of participants reported low back pain during the last 12 months. Thirty participants (19.1%) had low back pain during the last 7 days. The mean score of mental demand, physical demand, performance, effort, frustration level and temporal demand were respectively 88.2±14.3, 61.1±24, 84.8±13.3, 82.6±14.5, 35.8±29.2 and 60.4±28.8. The frustration level was associated with the presence of LBP during the last 12 months and the last 7 days (p&lt;0.05).Conclusions From the results of this study, we conclude that LBP was associated with the perceived psychological workload. Hence, the prevention of LBP should go through the improvement of work conditions to enhance the mental health of the electricians.Disclosure of InterestNone Declared

Sustainable Measurement of Mental and Physical Workloads of Transjakarta Bus Drivers

The number of accidents in the Transjakarta mode of transportation is increasing from year to year. Accidents can occur dueto the driver’s workload which is not ideal so that it affects the driver’s negligence while driving. Therefore, this study aims to investigate the workload experienced by Transjakarta bus drivers using a comprehensive approach that includes questionnaires, pulse measurement, and analytical methods such as NASA-TLX, Cardiovascular Load, Correlation Test. The process of collecting data using the NASA Task Load Index method involving 30 samples of Transjakarta bus drivers was used which was divided into two stages, namely Paired Comparison and Event Scoring. The Cardiovascular Load method was used from calculating the Max Pulse Rate data, calculating %CVL which ends with identifying the results of the average %CVL. The result shows by using the NASA-TLX (mental load) and Cardiovascular Load - CVL (physical load) analysis methods was be used as a source of data that was go through acorrelation test and tested using Minitab software. The results obtained from the NASA-TLX method show that the mental load was quite high with an average value of 70.8%. The CVL result shows that the highest percentage of fatigue level was achieved at value of 27.59%. In addition, Correlation Test Results of %CVL and WWL showed that the correlation between %CVL and WWL was achieved at value of -0.197 and the P-Value was 0.296. It is found that the results of an inverse relationship were found between %CVL and WWL.

Quantifying emergency department nursing workload at the task level using NASA-TLX: An exploratory descriptive study

BackgroundEmergency departments (ED) nurses experience high mental workloads because of unpredictable work environments; however, research evaluating ED nursing workload using a tool incorporating nurses’ perception is lacking. Quantify ED nursing subjective workload and explore the impact of work experience on perceived workload. MethodsThirty-two ED nurses at a tertiary academic hospital in the Republic of Korea were surveyed to assess their subjective workload for ED procedures using the National Aeronautics and Space Administration Task Load Index (NASA-TLX). Nonparametric statistical analysis was performed to describe the data, and linear regression analysis was conducted to estimate the impact of work experience on perceived workload. ResultsCardiopulmonary resuscitation (CPR) had the highest median workload, followed by interruption from a patient and their family members. Although inexperienced nurses perceived the ‘special care’ procedures (CPR and defibrillation) as more challenging compared with other categories, analysis revealed that nurses with more than 107 months of experience reported a significantly higher workload than those with less than 36 months of experience. ConclusionAddressing interruptions and customizing training can alleviate ED nursing workload. Quantified perceived workload is useful for identifying acceptable thresholds to maintain optimal workload, which ultimately contributes to predicting nursing staffing needs and ED crowding.

Identifying and validating perceived workload metrics for emergency medical services

The most common workload surrogates used by Emergency Medical Services (EMS)— overall call volume (CV) and unit hour utilization (UHU)—have not been validated. This study investigates the relationship between EMS operational metrics and perceived workload, measured through the NASA task load index (TLX) survey. We paired crew member survey responses with the operational metrics based on dispatch data. Linear regression was used to evaluate the influence of each metric on perceived workload. Logistic regression was used to identify values of workload indicating a fair day's work. We found that the overall CV (p < 0.001, R2=0.32) and UHU (p < 0.001, R2=0.22) explained less variability in perceived workload than a priority (P)-stratified CV (p < 0.001, R2=0.41). However, we found no clear fair day's workload threshold. We conclude that a priority-stratified CV is a better workload surrogate than a CV and UHU.

Exploring the associations of demographics and scale measures with cognitive driving behavior among older drivers in China

Age-related changes and frailty are reasons for the high proportion of older drivers in certain types of crashes, such as giving right of way at intersections and turning left. The identified crash causes include the driver’s demographics, driving style, cognitive function, and mental workload. This study aimed to explore the associations of demographics and scale measures with cognitive driving behavior. Thirty-nine drivers, consisting of twenty younger drivers (18–60 years old) and nineteen older drivers (above 60 years old), participated in driving simulation experiments after completing scale tests. The selected scale measures included the demographic questionnaire, Multidimensional Driving Style Inventory (MDSI-C), Mini-Mental State Examination (MMSE), Trail Making Test Part A (TMT-A) and Part B (TMT-B), and the National Aeronautics and Space Administration Task Load Index (NASA-TLX) for obtaining subjective information from drivers. Driving scenarios were developed based on the driving characteristics of older adults to investigate age-related driving ability. The driving behavior parameters included reaction time, lateral stability, and driving speed, corresponding to reaction, perception, and execution. Three stepwise regression models showed that NASA-TLX, the interaction between age and driving experience, and the interaction between age and TMT-A significantly explained 53.3 % of reaction time variance; TMT-A, risk driving style, anxiety driving style, and gender significantly explained 53.5 % of lateral stability variance; TMT-A, NASA-TLX, and MMSE significantly explained 60.6 % of driving speed variance. Subsequently, the impact of four age-related predictor variables on driving behavior was further discussed. It is worth noting that a rich driving experience may compensate for driving performance. However cognitive impairment impairs this compensation. Driving behavior is influenced by a combination of various factors. Age, as a physiological indicator, is not sufficient to be a strong predictive factor for lateral stability and driving speed. The results provide a reference for traffic safety management departments to streamline driving suitability test procedures and propose targeted training methods for older drivers.

Analysis of the Mental Workload Generated by Learning Experiences Through Augmented Reality and Virtual Reality in Students of Regular Basic Education

Objetive: To analyze the mental workload produced by immersive learning experiences through augmented reality (AR) and virtual reality (VR). Theoretical framework: This section presents the main concepts and theories that support the research. The theory of cognitive mental workload includes dimensions such as Frustration, Performance, Effort, Physical, Mental, and Temporal Demand, providing a solid foundation for understanding the research context. Method: The methodology used for the research follows a qualitative quasi-experimental approach. The selected population consisted of 100 students, from which 2 groups of 50 members each were randomly selected using simple random sampling, experimental and control groups. Seven learning sessions were developed in the Social Sciences area. The experimental group experienced learning activities involving AR and VR, while the control group underwent traditional sessions. The experimental group students faced tasks related to navigation, movement, manual interaction, information processing, search, storage, and decision-making. The standardized NASA-TLX (Task Load Index) instrument, comprising 6 dimensions: Frustration, Performance, Effort, Physical, Mental, and Temporal Demand, was used for analysis. Results and conclusion: The results show that experimentation with AR presents a moderate mental workload, while experimentation with VR presents a significant mental workload, compared to students who did not participate in AR and VR experiences, who did not present mental workload in the development of their activities. Research implications: The practical and theoretical implications of this research are discussed, providing insights into how the results can be applied or influence practices in the field of mental workload. These implications may encompass frustration, performance, effort, physical, mental, and temporal demand. Originality/Value: This study contributes to the literature by showing how mental workload directly influences academic performance and learning effectiveness, as excessive levels of workload can negatively affect attention and information retention.

Nonintubated spontaneous ventilation versus intubated mechanical ventilation anesthesia for video-assisted thoracic surgery in terms of perioperative complications and practitioners’ workload assessments: a pilot randomized control study

BackgroundThe use of nonintubated video-assisted thoracoscopic surgery (NI-VATS) has been increasingly reported to yield favourable outcomes. However, this technology has not been routinely used because its advantages and safety have not been fully confirmed. The aim of this study was to assess the safety and feasibility of nonintubated spontaneous ventilation (NI-SV) anesthesia compared to intubated mechanical ventilation (I-MV) anesthesia in VATS by evaluating of perioperative complications and practitioners’ workloads.MethodsPatients who underwent uniportal VATS were randomly assigned at a 1:1 ratio to receive NI-SV or I-MV anesthesia. The primary outcome was the occurrence of intraoperative airway intervention events, including transient MV, conversion to intubation and repositioning of the double-lumen tube. The secondary outcomes included perioperative complications and modified National Aeronautics and Space Administration Task Load Index (NASA-TLX) scores from anesthesiologists and surgeons.ResultsThirty-five patients in each group were enrolled in the intention-to-treat analysis. The incidence of intraoperative airway intervention events was greater in the NI-SV group than in the I-MV group (12 [34.3%] vs. 3 [8.6%]; OR = 0.180; 95% CI = 0.045–0.710; p = 0.009). No significant difference was found in the postoperative pulmonary complications between the groups (p > 0.05). The median of the anesthesiologists’ overall NASA-TLX score was 37.5 (29–52) when administering the NI-SV, which was greater than the 25 (19-34.5) when the I-MV was administered (p < 0.001). The surgeons’ overall NASA-TLX score was comparable between the two ventilation strategies (28 [21-38.5] vs. 27 [20.5–38.5], p = 0.814).ConclusionThe NI-SV anesthesia was feasible for VATS in the selected patients, with a greater incidence of intraoperative airway intervention events than I-MV anesthesia, and with more surgical effort required by anesthesiologists.Trial registrationChinese Clinical Trial Registry, ChiCTR2200055427. https://www.chictr.org.cn/showproj.html?proj=147872 was registered on January 09, 2022.

The learning curve for robotic-assisted transperineal MRI/US fusion-guided prostate biopsy

Transperineal fusion prostate biopsy has a considerable learning curve (LC). Robotic-assisted transperineal MRI/Ultrasound fusion-guided biopsy (RA-TP-FBx) may have an easier LC due to automatization. We aimed to assess the LC of RA-TP-FBx and analyze its most difficult steps. We prospectively analyzed cases randomized to a biopsy-naïve urology resident, the chief resident, and an expert urologist in RA-TP-FBx (controls). We also analyzed consecutive cases in the LC of the expert. The LC was defined by procedure time, PCa detection rate (including stratification by PI-RADS), entrustable professional activities (EPA) assessment scores, and the NASA task load index. We collectively performed 246 RA-TP-FBx with the Mona Lisa device. Procedure time for residents decreased steeply from maximum 53 min to minimum 10 min, while the mean procedure time for the expert was 9 min (range 17–5 min). PCa detection for PI-RADS-4 lesions was 57% for the naïve resident, 61% for the chief resident and 62% for the expert. There was also no difference in Pca detection for PI-RADS-4 lesions when comparing the first and second half of the experts’ biopsies (p = 0.8). Maximum EPA score was registered after 22 cases. Workload steeply declined. Proficient RA-TP-FBx performance appears feasible after 22 cases regardless of previous experience.

Relationship between demographic and social variables and performance in virtual reality among healthcare personnel: an observational study

BackgroundVirtual reality is emerging as an important component of medical education. Although the benefits of virtual reality are apparent, the optimal strategy to orient to or differentiate learners in the virtual space have not been delineated. The purpose of this study was to investigate the relationships between demographic variables, social variables, and self-perceived comfort with technology to performance on a standardized non-medical virtual reality experience.MethodsThis observational study was performed at the International Meeting on Simulation in Healthcare in 2022. This conference includes medical and non-medical attendees. Participants provided demographic information and participated in a scored non-medical VR experience due to the heterogeneity of the sample. Participants then completed a System Usability Index and NASA Task Load Index form. Participants were dividedintolow scoring, medium scoring, and high scoring groups according to their final game score for further analysis.Results95 participants were included in final analysis. 55 (57.9%) of participants had prior virtual reality experience. Higher scores were associated with younger age (11.09, p < 0.001), identifying as male (11.09, p < 0.001), and a higher frequency of playing video games in the past (18.96, p < 0.001). The high score group was more likely to report comfort with virtual reality (6.29, p = 0.003) as well as comfort with new technology (4.61, p = 0.012). NASA Task Load Index scores trended down and System Usability Index scores trended up with increasing score. Being a nurse was a positive predictor of a higher score when compared to physicians in the multivariate analysis. ConclusionPerformance during an immersive virtual reality experience was most closely related to age, gender, and frequency of playing video games. Self-perceived comfort with virtual reality was more predictive of score than prior virtual reality experience.

Measurement practices in user experience (UX) research: a systematic quantitative literature review

User experience (UX) research relies heavily on survey scales to measure users' subjective experiences with technology. However, repeatedly raised concerns regarding the improper use of survey scales in UX research and adjacent fields call for a systematic review of current measurement practices. Therefore, we conducted a systematic literature review, screening 153 papers from four years of the ACM Conference on Human Factors in Computing Systems proceedings (ACM CHI 2019 to 2022), of which 60 were eligible empirical studies using survey scales to study users' experiences. We identified 85 different scales and 172 distinct constructs measured. Most scales were used once (70.59%), and most constructs were measured only once (66.28%). The System Usability Scale was the most popular scale, followed by the User Experience Questionnaire, and the NASA Task Load Index. Regarding constructs, usability was the most frequently measured, followed by attractiveness, effort, and presence. Furthermore, results show that papers rarely contained complete rationales for scale selection (20.00%) and seldom provided all scale items used (30.00%). More than a third of all scales were adapted (34.19%), while only one-third of papers reported any scale quality investigation (36.67%). On the basis of our results, we highlight questionable measurement practices in UX research and suggest opportunities to improve scale use for UX-related constructs. Additionally, we provide six recommended steps to promote enhanced rigor in following best practices for scale-based UX research.

Evaluating the performance of the cognitive workload model with subjective endorsement in addition to EEG.

The aptitude-oriented exercises from almost all domains impose cognitive load on their operators. Evaluating such load poses several challenges owing to many factors like measurement mode and complexity, nature of the load, overloading conditions, etc. Nevertheless, the physiological measurement of a specific genre of cognitive load and subjective measurement have not been reported along with each other. In this study, the electroencephalography (EEG)-driven machine learning (Support Vector Machine (SVM)) model is sought along with the support of NASA's Task Load Index (NASA-TLX) rating scale for a novel purpose in workload exploration of operators. The Cognitive Load Theory (CLT) was used as the foundation to design the intrinsic stimulus (Spot the Difference task), as most workloads operators are exposed to are notably intrinsic. The SVM-based three-level classification accuracy ranged from 85.4 to 97.4% (p < 0.05), and the NASA-TLX-based three-level classification accuracy ranged from 88.33 to 97.33%. The t-test results show that the neurometric indices contributing to the classification significantly differed (p < 0.05) for every level. The NASA-TLX scale was utilised for validation in its basic form after the validity (Pearson correlation coefficients 0.338 to 0.805 (p < 0.05)) and reliability (Cronbach's α = 0.753) test. This modeling is beneficial to phase out particular-level cognitive exercises from the curriculum during under or overload workload (critical) conditions.

Comparison of cognitive workload and surgical outcomes between a three-dimensional and conventional microscope macular hole surgery

BackgroundPerforming a surgical task subjects the surgeon to multitudinal stressors, especially with the newer 3D technology. The quantum of cognitive workload using this modern surgical system in comparison to the Conventional microscope system remains unexplored. We evaluate the surgeon’s cognitive workload and the surgical outcomes of macular hole(MH) surgery performed on a 3D versus a Conventional microscope operating system.Methods50 eyes of 50 patients with MH undergoing surgery using the 3D or Conventional microscope visualization system. Cognitive workload assessment was done by real-time tools(Surgeons’ heart rate [HR] and oxygen saturation[SPO2]) and self-report tool(Surgery Task Load Index[SURG-TLX] questionnaire) of three Vitreoretinal surgeons. Based on the SURG-TLX questionnaire, an assessment of the workload was performed.ResultsOf the 50 eyes, 30 eyes and 20 eyes underwent surgery with the Conventional microscope and the 3D system, respectively. No difference was noted in the MH basal-diameter(p = 0.128), total surgical-duration(p = 0.299), internal-limiting membrane(ILM) peel time(p = 0.682), and the final visual acuity (VA; p = 0.515) between the two groups. Both groups showed significant improvement in VA(p < 0.001) with a 90% closure rate at one-month post-surgery. Cognitive workload comparison, the intraoperative HR(p = 0.024), total workload score(P = 0.005), and temporal-demand dimension(p = 0.004) were significantly more in Conventional microscope group as compared to 3D group. In both the groups, the HR increased significantly from the baseline while performing ILM peeling and at the end.ConclusionThe surgeon’s cognitive workload is markedly reduced while performing macular hole surgery with a 3D viewing system. Moreover, duration of surgery including ILM peel time, MH closure rates, and visual outcomes remains unaffected irrespective of the operating microscope system.

Development and usability of a virtual reality umbilical venous catheter placement simulator.

Exposure to procedures varies in the neonatal intensive care unit (NICU). A method to teach procedures should be available without patient availability, expert oversight, or simulation laboratories. To fill this need, we developed a virtual reality (VR) simulation for umbilical vein catheter (UVC) placement and sought to establish its face and content validity and usability. Engineers, software developers, graphic designers, and neonatologists developed a VR UVC placement simulator following a participatory design approach. The software was deployed on the Meta Quest 2 head-mounted display (HMD). Neonatal nurse practitioners (NNPs) from a level 4 NICU used the simulator and completed an 11-item questionnaire to establish face and content validity. Participants also completed the validated simulation task load index and system usability scale to assess the usability of the simulator. Group 1 tested the VR simulation, which was optimized based on feedback, prior to Group 2's participation. A total of 14 NNPs with 2-37years of experience participated in testing. Participants scored the content and face validity of the simulator highly, with most giving scores ≥ 4/5. Usability was established with relatively high average system usability scores for both groups (Group 1: 67.14 ± 7.8, Group 2: 71 ± 14.1) and low SIM-TLX scores indicating manageable load while using the simulator. After optimization, Group 2 found the UVC simulator to be realistic and effective. Both groups felt the simulator was easy to use and did not cause physical or cognitive strain. All participants felt the UVC simulator provided a safe environment to make mistakes, and the majority would recommend this experience to trainees.