Task Load Research Articles

41 Analyzing Perceived Workloads in Bilinguals and Monolinguals’ Digit Span Performance

Objective:A common neuropsychological task used is the Digit Span, known as a test of attention and working memory. The Digit Span Forward (DS-F) task evaluates attention; meanwhile, the Digit Span Backward (DS-B) and Sequencing (DS-S) evaluate working memory. Research shows that persons that speak multiple languages demonstrate better attention and working memory abilities compared to monolingual speakers. The NASA Task Load Index (NASA-TLX) was conditionally validated by Hardy and Wright (2018) to measure perceived mental workload. Research also shows that bilinguals report higher perceived workloads on cognitive tasks compared to monolinguals. With that said, it was hypothesized that bilinguals would demonstrate better performances on Digit Span tasks compared to monolinguals. Additionally, it was hypothesized that bilinguals would report higher perceived workloads on all digit span tasks compared to monolinguals.Participants and Methods:The sample consisted of 29 psychologically and neurologically healthy participants with a mean age of 29.66 (SD = 7.14). Participants were divided into two groups: English monolingual speakers (n = 10) and English and other language bilingual speakers (n = 19).Participants completed all the subtests of the Digit Span (i.e., DS-F, DS-B, DS-S) in English. The NASA-TLX was used to measured DS-F, DS-B, and DS-S perceived workloads. The NASA-TLX was completed after each Digit Span subtest in English. We used ANOVAs to evaluate DS-F, DS-B, and DS-S performance and their perceived workload between our language groups.Results:We found no significant differences between language groups on the DS-F. However, the bilingual group reported the DS-F to be more temporally demanding and frustrating compared to the monolingual group, p’s < .05, nps2 =.14-.15. Next, we found that the monolingual group outperformed the bilingual group on the DS-B task, p = .027, np2 = .17. On the other hand, the bilingual group reported the DS-B task to be more temporally demanding and frustrating compared to the monolingual group, p’s < .05, nps2=.18-.20. Finally, on the DS-S task the monolingual group outperformed the bilingual group, p = .043, np2 = .14. Meanwhile, the bilingual group reported the DS-S task to be more mentally and temporally demanding compared to the monolingual group, p’s < .05, nps2=.18-.34.Conclusions:Contrary to our hypothesis, results show that monolinguals outperformed bilinguals on DS-B and DS-S, but not DS-F. However, as expected, bilinguals did report higher perceived workloads (e.g., frustration) on Digit Span tasks compared to monolinguals. A possible explanation could be that bilinguals’ efforts to remember the numbers were more taxing compared to monolinguals’ because they had to inhibit from verbally responding in their other language. Rushing bilinguals to provide responses, ultimately developing higher perceived workloads on Digit Span tasks. Future work should investigate if time perspective may be influencing bilingual speakers Digit Span performances and perceived workloads.

56 Dunning-Kruger Effect and Anxiety in a Mexican population

Objective:The Dunning-Krueger effect is a cognitive bias where individuals tend to overestimate their abilities in areas where they are less competent. The Cordoba Naming Test (CNT) is a 30-item confrontation naming task. Hardy and Wright (2018) conditionally validated a measure of perceived mental workload called the NASA Task Load Index (NASA-TLX). Researchers reported that workload ratings on the NASA-TLX increased with increased task demands on a cognitive task. Anxiety is known as an emotion that can make an individual more susceptible to develop a mental health condition. We examine if the Dunning-Krueger effect occurs in a Mexican population with and without current symptoms of anxiety and possible factors driving individuals to overestimate their abilities on the CNT. We predicted the abnormal symptoms of anxiety (ASA) group would report better CNT performance, report higher perceived workloads on the CNT, and underperform on the CNT compared to the normal symptoms of anxiety (NSA) group. We also predicted the low-performance group would report better CNT performance, report higher perceived workloads on the CNT, and underperform on the CNT compared to the high-performance group.Participants and Methods:The sample consisted of 192 Mexican participants with NSA (79 low-performance & 113 high-performance) and 74 Mexican participants with ASA (44 low-performance & 30 high-performance). Participants completed the CNT, NASA-TLX, and the Hospital Anxiety and Depression Scale (HADS) in Spanish. The NASA-TLX was used to evaluate perceived workloads after the completion of the CNT. Meanwhile, the HADS was used to create our anxiety groups. Finally, CNT raw scores were converted into T-scores, which then were averaged to create the following two groups: low-performance (CNT T-Score <50) and high-performance (CNT T-Score 50+). A series of 2x2 ANCOVAs, controlling for gender were used to evaluate CNT performance and perceived workloads.Results:We found a significant interaction where the low-performance ASA and the high-performance NSA groups demonstrated better CNT performance and reported higher perceived workloads (i.e., performance, temporal demand) on the CNT compared to their respective counterparts (i.e., low-performance NSA & high-performance ASA groups), p's<.05, ηp's2=.02. We found a main effect where the high-performance group outperformed the low-performance group on the CNT and reported lower perceived workloads on the CNT, p's<.05, ηp's2 =.04-.46.Conclusions:The Dunning-Krueger effect did not occur in our sample. Participants that demonstrated better CNT performance also reported higher perceived workloads regardless of their current symptoms of anxiety. A possible explanation can be our sample's cultural norms of what would be considered as abnormal symptoms of anxiety, is a normal part of life, decreasing the possibilities to experience self-efficacy distoritions. Future studies should investigate whether the Dunning-Kruger effect may be influencing other aspects of cognitive functioning subjectively in Mexicans residing in Mexico and the United States with and without current symptoms of anxiety.

39 Perceived Workload and Language Order Effects on the Cordoba Naming Test in Spanish-English Bilinguals

Objective:The Cordoba Naming Test (CNT) is a 30-item confrontation naming task. The administration of the CNT can be administered in multiple languages. Hardy and Wright (2018) conditionally validated a measure of perceived mental workload called the National Aeronautic Space Administration Task Load Index (NASA-TLX). They found that workload ratings on the NASA-TLX increased with increased demands on a cognitive task. Researchers found interactions in a study examining language proficiency and language (i.e., in which the test was administered) on several tasks of the Golden Stroop Test. Their results revealed that unbalanced bilinguals’ best-spoken language showed significantly better results compared to balanced bilinguals’ where language use did not matter. To our knowledge, no study has examined the order effects of Spanish-English bilingual speakers’ CNT performance and perceived workloads when completed in Spanish first compared to English second and vice-versa. We predicted that persons that completed the CNT in English first would demonstrate better performances and report lower perceived workloads on the CNT compared to completing the CNT in Spanish second. In addition, we predicted that persons that completed the CNT in Spanish first would demonstrate worse performance and higher perceived workloads on the CNT compared to completing the CNT in English second.Participants and Methods:The sample consisted of 62 Spanish-English healthy and neurologically bilingual speakers with a mean age of 19.94 (SD= 3.36). Thirty-seven participants completed the CNT in English first and then in Spanish (English-to-Spanish) and 25 participants completed the CNT in Spanish first and then in English (Spanish-to-English). The NASA-TLX was used to evaluate CNT perceived workloads. All the participants completed the NASA-TLX in English and Spanish after completing the CNT in the language given, respectfully. A series of paired-samples T-Tests were completed to evaluate groups CNT performance and perceived workload.Results:We found that the English-to-Spanish group performed better on the CNT in English first than completing it in Spanish second, p = .000. We also found that the English-to-Spanish group reported better performance and less mentally demanding on the CNT when it was completed in English first compared to completing it in Spanish second, p’s < .05. Regarding the Spanish-to-English group, we found participants performed worse when they completed the CNT in Spanish first compared to completing the CNT in English second, p = .000. Finally, the Spanish-to-English group reported worse performance completing the CNT in Spanish first, more temporal demanding, and more frustrating compared to completing the CNT in English second, p’s < .05.Conclusions:As expected, when participants completed the CNT in English, regardless of the order, they performed better and reported lower perceived workloads compared to completing the CNT in Spanish. Our data suggests that language order effect influenced participants CNT performance possibly due to not knowing specific items in Spanish compared to in English. Future studies using larger sample sizes should evaluate language order effects on the CNT in Spanish-English balanced bilingual speakers compared to unbalanced bilingual speakers.

Aircraft Cockpit Interaction in Virtual Reality with Visual, Auditive, and Vibrotactile Feedback

Safety-critical interactive spaces for supervision and time-critical control tasks are usually characterized by many small displays and physical controls, typically found in control rooms or automotive, railway, and aviation cockpits. Using Virtual Reality (VR) simulations instead of a physical system can significantly reduce the training costs of these interactive spaces without risking real-world accidents or occupying expensive physical simulators. However, the user's physical interactions and feedback methods must be technologically mediated. Therefore, we conducted a within-subjects study with 24 participants and compared performance, task load, and simulator sickness during training of authentic aircraft cockpit manipulation tasks. The participants were asked to perform these tasks inside a VR flight simulator (VRFS) for three feedback methods (acoustic, haptic, and acoustic+haptic) and inside a physical flight simulator (PFS) of a commercial airplane cockpit. The study revealed a partial equivalence of VRFS and PFS, control-specific differences input elements, irrelevance of rudimentary vibrotactile feedback, slower movements in VR, as well as a preference for PFS.

Nurse Mental Workload and Completeness of Documentation in COVID-19 Isolation Rooms

Aims : This study is to find out the relationship between nurse mental workload and completeness of documentation in isolation rooms during the COVID-19 pandemic. Design : This research was correlational with a cross-sectional approach. Methods : The design of this study was a quantitative study with a cross-sectional approach. This study used primary data obtained through direct observation using a questionnaire consisting of patient demographic data, the mental workload was measured by NASA-TLX (National Aeronautics and Space Administration Task Load Index validity test obtained the value of r= 0,690 – 0,775 and reliability test Cronbach’s Alpha value of 0,797 and the completeness of documentation was measured using the standard instrument for standard documentation evaluation of the Ministry of Health. The research population was nurses who treated COVID-19 patients in Pontianak. Sampling was done using non-probability sampling using a purposive sampling technique with inclusion criteria, nurses who treat Covid-19 patients for at least 5 months. The number of samples was 30 nurses and 24 nursing care documents. Data analysis in this study used the bivariate Spearman's Rho test Results : The results of Spearman's rho analysis showed a significant value or Sig. (2-tailed) of 0.026. Because the value of Sig (2-tailed) 0.026 was < less than 0.05, there was a significant relationship between mental workload and the completeness of nursing care documentation. Conclusions : The increase in the number of patients makes the workload higher because it is not proportional to the ratio of nurses to patients.

Fairness-aware task offloading and load balancing with delay constraints for Power Internet of Things

The rapid development of the Power Internet of Things (PIoT) enables power smart sensing devices to offload their computation tasks to nearby edges. However, due to the increasing demand for computing and the unbalanced spatial distribution of devices, it is imperative to seek cooperative computing and task scheduling optimization schemes at the edge for PIoT. In this paper, we develop a two-tier cooperative edge network paradigm in PIoT. Then, we define a novel fairness indicator based on the Theil index to measure the allocation balance of the system. We also formulate a fairness and delay guaranteed (FDG) task offloading and load balancing optimization problem, which aims to minimize the allocation difference of the edge network while satisfying the delay constraints for multiple tasks in PIoT. Moreover, we develop a Lyapunov optimization and whale optimization algorithm (LWOA) to solve the problem. The simulation results demonstrate that for two types of typical tasks in PIoT, compared with the NonB scheme, the proposed FDG scheme decreases the time-averaged allocation difference of the system by 10% and 35%, the time-averaged allocation difference within subsystems by 5% and 6%, the time-averaged delay by approximately 5% and 7%, and the time-averaged queue backlog by approximately 30% and 40%. Research, both theoretical and experimental, has demonstrated that cooperation at the edge can significantly improve the performance of PIoT.

Toward Workload-Based Adaptive Automation: The Utility of fNIRS for Measuring Load in Multiple Resources in the Brain

We investigate the utility of functional near-infrared spectroscopy (fNIRS) for workload-based adaptive automation through the lens of multiple resource theory. We focus on the criteria of unobtrusiveness, responsiveness, load sensitivity (low vs high load), and load diagnosticity (differentiating types of load). We report a large meta-review, in which we conclude that only a few studies were suitable for evaluating sensitivity and diagnosticity in complex real-world tasks. While these reveal that the fNIRS signal is adequately sensitive to gradations of load level changes (sensitivity), the diagnosticity of fNIRS to different sources of cognitive load remained uncertain. We manipulated mental load of a complex shape sorting task via working memory load (WM) and visual perceptual load (VL), while a secondary auditory task was present throughout. We measured the effect of these manipulations at the group-level using conventional secondary and eyetracking workload measures, as well as hemodynamic response in specific functional regions in the brain, including regions involved in multi-tasking (MT), VL, WM, and auditory load (AL). Our findings revealed that fNIRS is both sensitive and diagnostic to load in complex tasks, with greater sensitivity revealed by deoxyhemoglobin than oxyhemoglobin and the brain regions associated with diagnosticity align with neuroscience literature on perceptual load, WM, and goal-directed multitasking.

Enhancing energy efficiency in cloud scaling: A DRL-based approach incorporating cooling power

The rapid growth of cloud computing significantly boosts energy usage, driven mainly by CPU operations and cooling. While cloud scaling efficiently allocates resources for changing workloads, current energy-driven methods often prioritize energy metrics combined with throughput, execution time, or SLA compliance, neglecting cooling power’s influence on energy consumption. To bridge this gap, we propose a deep reinforcement learning (DRL)-based autoscaler that considers cooling power as a critical factor for decision-making. Our approach employs DRL to dynamically adjust cloud resources, aiming to maximize energy efficiency and meet performance objectives. DRL, unlike RL, uses neural networks to handle the extensive state–action space in cloud scaling, overcoming the challenge of limited memory capacity for storing Q-values. In this study, we evaluate the performance of our proposed solution through a simulation-based experiment. We compare the performance of the proposed DRL-based autoscalers against an RL-based autoscaler. Our findings indicate that the DDQN-based autoscaler consistently outperforms other algorithms by maintaining optimal Power Usage Effectiveness (PUE) levels and improving task execution speed during high workloads. In contrast, the DQN-based autoscaler excels at sustaining optimal PUE levels during lower task loads, with a faster convergence rate at a scaling factor of 2 compared to scaling factor 1.

Event-related brain potentials reveal enhancing and compensatory mechanisms during dual neurocognitive and cycling tasks

BackgroundVarious neurocognitive tests have shown that cycling enhances cognitive performance compared to resting. Event-related potentials (ERPs) elicited by an oddball or flanker task have clarified the impact of dual-task cycling on perception and attention. In this study, we investigate the effect of cycling on cognitive recruitment during tasks that involve not only stimulus identification but also semantic processing and memory retention.MethodsWe recruited 24 healthy young adults (12 males, 12 females; mean age = 22.71, SD = 1.97 years) to perform three neurocognitive tasks (namely color-word matching, arithmetic calculation, and spatial working memory) at rest and while cycling, employing a within-subject design with rest/cycling counterbalancing.Results The reaction time on the spatial working memory task was faster while cycling than at rest at a level approaching statistical significance. The commission error percentage on the color–word matching task was significantly lower at rest than while cycling. Dual-task cycling while responding to neurocognitive tests elicited the following results: (a) a greater ERP P1 amplitude, delayed P3a latency, less negative N4, and less positivity in the late slow wave (LSW) during color-word matching; (b) a greater P1 amplitude during memory encoding and smaller posterior negativity during memory retention on the spatial working memory task; and (c) a smaller P3 amplitude, followed by a more negative N4 and less LSW positivity during arithmetic calculation.ConclusionThe encoding of color-word and spatial information while cycling may have resulted in compensatory visual processing and attention allocation to cope with the additional cycling task load. The dual-task cycling and cognitive performance reduced the demands of semantic processing for color-word matching and the cognitive load associated with temporarily suspending spatial information. While dual-tasking may have required enhanced semantic processing to initiate mental arithmetic, a compensatory decrement was noted during arithmetic calculation. These significant neurocognitive findings demonstrate the effect of cycling on semantic-demand and memory retention-demand tasks.

Working memory capacity predicts focus back effort under different task demands

According to the cognitive flexibility view, individuals with higher cognitive control ability are more flexible in experiencing on task or mind wandering during tasks with different loads. On the other hand, the resource-control theory posits that executive control is essential for allocating attentional resources between mind wandering and tasks. Focus back effort may reflect the adjustment of executive control in the resource-control theory. Here, 121 participants completed two span tasks, as well as high- and low-load tasks, while mind wandering and focus back effort were measured. Our findings indicated that mind wandering was influenced by working memory capacity (WMC) and focus back effort. Additionally, participants demonstrated a higher focus back effort during the higher load task. This effect was particularly pronounced in individuals with lower WMC, which was treated as a continuous variable. These findings integrate the cognitive flexibility view and resource-control theory to describe how individuals modulate mind wandering.

From Driver to Supervisor: Comparing Cognitive Load and EEG-Based Attentional Resource Allocation Across Automation Levels

With increasing automation, drivers’ roles transition from active operators to passive system supervisors, affecting their behaviour and cognitive processes. This study addresses the attentional resource allocation and subjective cognitive load during manual, SAE Level 2, and SAE Level 3 driving in a realistic environment. An experiment was conducted on a test track with 30 participants using a prototype automated vehicle. While driving, participants were subjected to a passive auditory oddball task and their electroencephalogram was recorded. The study analysed the amplitude of the P3a event-related potential component elicited by novel environmental stimuli, an objective measure of attentional resource allocation. The subjective cognitive load was assessed using the NASA Task Load Index. Results showed no significant difference in subjective cognitive load between manual and Level 2 driving, but a decrease in subjective cognitive load in Level 3 driving. The P3a amplitude was highest during manual driving, indicating increased attentional resource allocation to environmental sounds compared to Level 2 and Level 3 driving. This may suggest that during automated driving, drivers allocate fewer attentional resources to processing environmental information. It remains unclear whether the decreased processing of environmental stimuli in automated driving is due to top-down attention control (leading to attention withdrawal) or bottom-up competition for resources induced by cognitive load. This study provides novel empirical evidence on resource allocation and subjective cognitive load in automated driving. The findings highlight the importance of managing drivers’ attention and cognitive load with implications for enhancing automation safety and the design of user interfaces.

Sensor-fused simulation-based decision support system for earthmoving projects

Discrete Event Simulation (DES) is an effective method to study cyclic and uncertain projects at the operation level. However, qualified DES results highly depend on the input data quality. This paper describes a simulation-enabled context-aware Decision Support System (DSS) based on sensor fusion to model earthwork operations realistically. The DSS backbone is a DES continually updated using real-time data. The information on earthmoving operations is exchanged between reality and DES using GPS and equipment-mounted cameras. The equipment spatiotemporal data and shovel-mounted cameras enhance the DES quality (i.e., locational and contextual awareness) by providing timely information about task durations, load types, and bucket teeth status. Sensor data is fused and fed into the DES model to replicate the earthmoving project. The proposed method is successfully implemented and validated in a large-scale earthmoving case study. The developed DES is proven promising as a reliable DSS for enhancing resource allocation and time-cost reduction.

Nurses’ Workload and Quality of Life in General Hospitals: The Mediating Role of Resilience

Introduction: An increased nurse's workload might break the balance between work and life, reducing nurses' quality of life. This condition can lead to physical, mental, and emotional exhaustion. Nurses with low resilience may develop psychological issues or mental illness. This study aims to determine the relationship between workload, resilience, and quality of life of nurses. Methods: A cross-sectional study with proportionate stratified random sampling was implemented in nurses working at type B hospitals in West Nusa Tenggara, Indonesia. A total of 265 nurses were enrolled in this study during September-October 2022. The National Aeronautics and Space Administration Task Load Index (NASA-TLX), The Russel & Russel questionnaire, and the WHOQOL-Brief quality of life were used on this research instrument. The Partial Least Square-Structural Equation Model (PLS-SEM) was used to investigate the effect of mediating resilience on the link between workload and quality of life in nurses. Results: The study's findings indicate that workload (X) and resilience (M) affect quality of life (Y) (53.1%). Nurses’ workload affects the quality of life via resilience (Path coefficient = -0.049, p = 0.041). It can be interpreted that nurses’ workload has a negative and substantial link with the quality of life due to resilience. Conclusion: This study concludes that resilience mediates the relationship between nurses’ workload and quality of life.

Challenges of controlling the rotation of virtual objects with variable grip using force-feedback gloves

Some virtual reality (VR) applications require true-to-life object manipulation, such as for training or teleoperation. We investigate an interaction technique that replicates the variable grip strength applied to a held object when using force-feedback gloves in VR. We map the exerted finger pressure to the rotational freedom of the virtual object. With a firm grip, the object’s orientation is fixed to the hand. With a loose grip, the user can allow the object to rotate freely within the hand. A user study (N = 21) showed how challenging it was for participants to control the object’s rotation with our prototype employing the SenseGlove DK1. Despite high action fidelity, the grip variability led to poorer performance and increased task load compared to the default fixed rotation. We suspect low haptic fidelity as an explanation as only kinesthetic forces but no cutaneous cues are rendered. We discuss the system design limitations and how to overcome them in future haptic interfaces for physics-based multi-finger object manipulation.

Eccentric cycling involves greater mental demand and cortical activation of the frontoparietal network.

Eccentric, compared to concentric exercise, is proposed to involve different neuro-motor processing strategies and a higher level of mental demand. This study compared eccentric and concentric cycling at matched perceived effort and torque for the mental demand and related-cortical activation patterns. Nineteen men (30 ± 6 years) performed four different 5-min cycling conditions at 30 RPM on a semi-recumbent isokinetic cycle ergometer: (1) concentric at a moderate perceived effort (23 on the CR100® scale) without torque feedback; (2) concentric and (3) eccentric at the same average torque produced in the first condition; and (4) eccentric at the same moderate perceived effort than the first concentric condition. The conditions two to four were randomized. After each condition, mental demand was monitored using the NASA Task Load Index scale. Changes in oxy-(O2 Hb) and deoxy-(HHb) hemoglobin during exercise were measured over both prefrontal cortices and the right parietal lobe from a 15-probe layout using a continuous-wave NIRS system. Mental demand was significantly higher during eccentric compared to concentric cycling (+52%, p = 0.012) and when the exercise intensity was fixed by the torque rather than the perceived effort (+70%, p < 0.001). For both torque- or perceived effort-matched exercises, O2 Hb increased significantly (p < 0.001) in the left and right prefrontal cortices, and right parietal lobe, and HHb decreased in the left, and right, prefrontal cortices during eccentric compared to concentric cycling. This study supports that acute eccentric cycling, compared to concentric cycling, involves a higher mental demand, and frontoparietal network activation.

The Impact of Feedback Modalities and the Influence of Cognitive Load on Interpersonal Communication in Nonclinical Settings: Experimental Study Design.

The escalating demands of modern health care systems, combined with the emotional toll of patient care, have led to an alarming increase in physician burnout rates. This burnout, characterized by emotional exhaustion, depersonalization, and reduced personal accomplishment, can hinder doctors' ability to connect with patients effectively. Moreover, the cognitive load arising from information overload and the need for multitasking can further hinder doctors' ability to connect with patients effectively. Understanding the complex relationship between physician burnout and cognitive load is crucial for devising targeted interventions that enhance physician well-being and promote effective physician-patient interactions. Implementing strategies to alleviate burnout and cognitive load can lead to improved health care experiences and patient outcomes. Our study explores the interplay between physician burnout and its potential impact on interpersonal communication, particularly focusing on the role of cognitive load using a pilot study in a nonclinical setting involving nonclinical participants. This study uses an experimental design to evaluate 3 feedback tools (haptic, visual, and postvisit summary) and measure the cognitive load they impose on nonclinical participants in a nonclinical environment. The NASA Task Load Index, a widely accepted measure of cognitive load, was used to quantify the cognitive load associated with the feedback tools. The study used a within-subject design, meaning participants experienced all 3 feedback methods. A sample of 18 nonclinical participants was selected using counterbalancing techniques. Postsession feedback not only enhancing performance but also mitigating the influence of cognitive load as compared with real-time feedback (haptic+visual). Participants with interview experience showed lower cognitive load levels when exposed to real-time feedback as compared with novice users. In contrast, postsession feedback was more effective for novice users. In addition, cognitive workload emerged as a moderating factor in the relationship between feedback tools and their impact on performance, particularly in terms of speaking balance and pace. This moderating effect suggests that the correlation between feedback tool efficacy and performance varies based on an individual's cognitive load while using the feedback tool. The comparison of postfeedback with haptic feedback yielded a Z score of -3.245 and a P value of .001, while the comparison with visual feedback resulted in a Z score of -2.940 and a P value of .003. These outcomes underscore a significant disparity in the means between postsession feedback and real-time feedback (haptic+visual), with postsession feedback indicating the lowest mean score. Through the examination of various feedback tools, this study yields significant and insightful comparisons regarding their usability and appropriateness in nonclinical settings. To enhance the applicability of these findings to clinical environments, further research encompassing diverse participant cohorts and clinical scenarios is warranted.

The Effect of Noise on Initiation and Maintenance of Clear Speech and Associated Mental Demand.

The objectives of this study were to explore (a) the influence of different types of background noise and their informational content on the ability of speakers to initiate and maintain clear speech (CS), a widely utilized technique for enhancing speech intelligibility, and (b) the impact of background noise and CS usage on speakers' mental demand. Five adult females were asked to read sentences using both habitual and CS under four distinct noise conditions: quiet, multitalker (MT) noise, reversed multitalker (RevMT) noise, and speech-shaped (SS) noise. Following this, speakers rated their perceived level of mental demand for each speaking condition using the modified NASA Task Load Index scale. A two-part listening experiment with 48 listeners was conducted to evaluate the speakers' effectiveness in initiating and maintaining CS. Speakers initiated CS more successfully in noise than in quiet, with better performance observed in the presence of RevMT noise as compared to SS noise. Regarding the maintenance of CS, none of the speakers were successful in a quiet environment. Furthermore, the ability to maintain CS was most adversely affected in MT noise, followed by RevMT noise and SS noise. Our findings suggest that the effect of background noise on speech production is complex and multifaceted. The noise type affected speakers' ability to initiate and maintain CS as well as the mental demand associated with the speech task. The results underscore the importance of considering the characteristics of background noise and cognitive aspects of speech production when training and evaluating speakers' performance.

Eye-shaped keyboard for dual-hand text entry in virtual reality

We propose an eye-shaped keyboard for high-speed text entry in virtual reality (VR), having the shape of dual eyes with characters arranged along the curved eyelids, which ensures low density and short spacing of the keys. The eye-shaped keyboard references the QWERTY key sequence, allowing the users to benefit from their experience using the QWERTY keyboard. The user interacts with an eye-shaped keyboard using rays controlled with both the hands. A character can be entered in one step by moving the rays from the inner eye regions to regions of the characters. A high-speed auto-complete system was designed for the eye-shaped keyboard. We conducted a pilot study to determine the optimal parameters, and a user study to compare our eye-shaped keyboard with the QWERTY and circular keyboards. For beginners, the eye-shaped keyboard performed significantly more efficiently and accurately with less task load and hand movement than the circular keyboard. Compared with the QWERTY keyboard, the eye-shaped keyboard is more accurate and significantly reduces hand translation while maintaining similar efficiency. Finally, to evaluate the potential of eye-shaped keyboards, we conducted another user study. In this study, the participants were asked to type continuously for three days using the proposed eye-shaped keyboard, with two sessions per day. In each session, participants were asked to type for 20min, and then their typing performance was tested. The eye-shaped keyboard was proven to be efficient and promising, with an average speed of 19.89 words per minute (WPM) and mean uncorrected error rate of 1.939%. The maximum speed reached 24.97 WPM after six sessions and continued to increase.

Impact of Modality on Workload among Engineering Undergraduates during the COVID-19 Pandemic

The COVID-19 pandemic created unprecedented disruptions in models for engineering student training. At The Citadel, an undergraduate-focused college in the Southeastern United States, a variety of modalities were implemented following the onset of the pandemic, including emergency online and Hyflex learning. We conducted a longitudinal study to analyze the cognitive load among our undergraduate engineering students throughout changing modalities. Using data from the NASA Task Load Index (TLX) and open-ended reflections on student challenges, we found that total workload (a surrogate for cognitive load) was generally highest during emergency online learning in the second half of Spring 2020 semester, with experiences possibly varying across different demographic and academic groups. Emergency online challenges were often related to time management, personal organization, and responsibility for learning. In contrast, HyFlex challenges were often related to technology and communication challenges. While emergency online learning was a cognitive load disruption, that disruption was often associated with personal and/or academic development. HyFlex learning mediated cognitive load disruption; although, student challenges may have been simple nuisances rather than mediators of developmental change.

An evaluation of various spatial audio rendering and presentation techniques to enhance active navigation with sensory augmentation

Active navigation is essential in everyday life and refers to the combination of cognition (spatial mapping, path planning, and decision making) and motor-sensory execution (moving and sensing environment). For people who are blind or have low-vision, auditory and tactile sensory augmentation is critical to active navigation. In assistive technologies, binaural spatial audio rendering is widely adopted. However, the most effective methods to support fluent spatial navigation are still being studied. For example, in a previous study, we demonstrated the feasibility of using spatialized earcons to support a shorelining task. In this work, we use the same shorelining task to explore various forms of spatial earcon presentation with a focus on standardization and effectiveness. We also explore the development of an intuitive auditory grammar for spatial and contextual cues. We conduct psychophysical experiments and present experimental measures such as performance time and accuracy, heart-rate variability, and the NASA task load index.