Search Results (302)

The perception of work is closely linked to body reactions that facilitate task performance. Previous studies have shown that psychosocial work factors significantly impact employee health on both psychological and physical levels, though their cross-sectional designs limit causal interpretations. In this study, participants performed sitting and standing tasks under four different levels of mental workload. The NASA-Task Load Index (NASA-TLX) assessed mental workload perception across six dimensions, while Rapid Entire Body Assessment (REBA) and Rapid Upper Limb Assessment (RULA) scores evaluated body postures for standing and sitting tasks, respectively. This study examined the effects of alarms, distractions, and time constraints—common psychosocial factors in healthcare environments—on human behavior. We compared NASA-TLX scores with corresponding REBA/RULA scores to evaluate how perceived mental workload affects body postures. One-way ANOVA assessed the impact of experimental conditions on response variables, and Pearson correlation analyses explored the relationships between psychosocial factors and these variables. Results indicated that alarm conditions most negatively impacted mental workload perception and body postures. Temporal demand and effort scores were particularly affected by psychosocial factors in both tasks. Gender influenced physical demand and performance scores (higher in females) for the standing task but did not affect REBA and RULA scores. These findings suggest that organizational and psychosocial factors significantly influence healthcare workers’ behavior, health, and patient safety. Further research is needed to evaluate the specific effects of psychosocial factors on both physical and mental workload to understand the relationship between overall task workload and occupational disorders. Full article

Monitoring and classifying cognitive workload in real time is vital for optimizing human–machine interactions and enhancing performance while ensuring safety, particularly in industrial scenarios. Considering this significance, the authors aim to formulate a cognitive workload monitoring system (CWMS) by leveraging the deep gated neural network (DGNN), a hybrid model integrating bi-directional long short-term memory (Bi-LSTM) and gated recurrent unit (GRU) networks. In our experimental setup, each of the four virtual users is equipped with a Raspberry Pi Zero W module to ensure efficient data transmission, thereby enhancing the reliability and efficacy of the monitoring process. This seamless monitoring framework utilizes the constrained application protocol (CoAP) and the Things Board platform to evaluate cognitive workload in real time. The most popular EEG benchmark dataset, the STEW is utilized for workload classification in this study. We employ the short-time Fourier transformation (STFT) to extract frequency bands corresponding to users in both high and low cognitive workload modes. The proposed DGNN models achieve a perfect accuracy of 99.45%, outperforming every previous state-of-the-art model. We meticulously monitored critical parameters, including latency, classification processing time, and cognitive workload levels. This research demonstrates the importance of continuous monitoring for increasing productivity and safety in industries by introducing a novel method of real-time cognitive workload monitoring. The implementation codes for each experiment are documented and made available for reproducibility. Full article

Tactile memory is the cognitive process of storing and recalling information that has been perceived through the sense of touch. Directional tactile memory involves the encoding and retrieval of sensory data associated with a tactile experience, allowing individuals to remember and recognize directional information encoded through the sense of touch. A new method for providing directional tactile feedback, at the back of the user, has been developed to investigate the efficacy of directional tactile memory, its decay over time, and its impact during a concurrent cognitive task. Two experiments were presented. In the first experiment, tactile memory deterioration, with a visual or a tactile cue, was tested with different action-cue latencies (10 s and 20 s). In the second experiment, we considered tactile memory deterioration when there was an increased cognitive load as the participants played Tetris. Forty volunteers participated in the two experiments using purpose-built tactile seats with nine motors controlled by an Arduino. The performance data (error and reaction times) were analyzed statistically, and a NASA task load index (NASA-TLX) questionnaire was administered to measure the subjective workload after each of the two experiments. The findings highlighted that the directional tactile memory of the back can guide individuals to the correct point on the screen and that it can be maintained for at least 20 s. There was no statistically significant difference in the number of errors or reaction time with a visual or tactile action cue. However, being involved in a concurrent cognitive task (playing Tetris) adversely affected the reaction time, the number of errors, and the directional tactile memory, which degraded as the time between the directional cue and the action cue increased. Participants perceived the performance while playing Tetris as significantly more mentally and perceptually demanding, requiring more mental and physical effort and being more frustrating. These trials revealed a new potential for a human–machine interface system, leveraging directional tactile memory, which might be utilized to increase the safety of autonomous vehicles. Full article

Fatigue in air traffic management (ATM) is a well-recognized safety concern. International organizations like ICAO and EASA have responded by advocating for fatigue risk management systems (FRMSs). EU Regulation 2017/373, implemented in January 2020, mandates specific requirements for air traffic service providers (ANSPs) regarding controller fatigue, stress, and rostering practices. These regulations are part of broader safety management protocols. Despite ongoing efforts to raise awareness about fatigue in ATC, standardized operational requirements remain elusive. To address this gap, Eurocontrol recently published “Guidelines on fatigue management in ATC rostering systems” (23 April 2024). This initiative aims to facilitate the adoption of common fatigue management standards across operations. However, neither EU Regulation 2017/373 nor existing documentation provides definitive rostering criteria. ANSPs typically derive these criteria from a combination of scientific research, best practices, historical data, and legal and operational constraints. Assessing and monitoring fatigue in the real-world ATC setting is complex. The multifaceted nature of fatigue makes it difficult to study, as it is influenced by many factors including sleep quality, circadian rhythms, psychosocial stressors, individual differences, and environmental conditions. Long-term studies are often required to fully understand these complex interactions. This paper presents two case studies that attempt to create an evidence-based protocol for fatigue risk monitoring in ATC operations. These studies utilize a non-invasive approach and collect multidimensional data. The cases involved en-route and tower (TWR) controllers from different ATC centers. The results highlight the importance of fatigue assessment in ATC and shed light on the challenges of implementing fatigue monitoring systems within operational environments. Full article

Guarana (GUA), a Brazilian seed extract, contains caffeine and other bioactive compounds that may have psychoactive effects. To assess the acute effects of GUA compared to a low dose of caffeine (CAF) on cognitive and mood parameters, twenty participants completed a double-blind, crossover experiment where they ingested capsules containing the following: (1) 100 mg CAF, (2) 500 mg GUA containing 130 mg caffeine, or (3) placebo (PLA). Cognitive tests (Simon and 2N-Back Task) were performed at the baseline (pre-ingestion) and 60 min after ingestion. The response time for the cognitive tests and heart rate variability were unaffected (p > 0.05) by treatment, although 2N-Back was overall faster (p = 0.001) across time. The accuracy in the 2N-Back Task showed a significant interaction effect (p = 0.029) due to higher post-ingestion versus pre-ingestion levels (p = 0.033), but only with the PLA. The supplements also had no effect on cognitive measures following physical fatigue (n = 11). There was an interaction effect on perceived mental energy, where the pre-ingestion of GUA had lower mental pep ratings compared to post-ingestion (p = 0.006) and post-exercise (p = 0.018) levels. Neither the acute ingestion of GUA nor low dose of CAF influenced cognitive performance or provided consistent benefit on mood or mental workload through vagal modulation. Additional investigations are beneficial to determining the lowest effective dose for CAF or GUA to influence mood and/or cognitive performance. Full article

Background/Objectives: Previous research points to the prevalence of insomnia during the COVID-19 pandemic among healthcare workers (HCWs). However, longitudinal studies on its evolution, including the post-pandemic stage, are less abundant, with a special lack of research about possible psychosocial risk factors. The aim of the current study is to analyze the evolution of insomnia in Spanish HCWs from the beginning of the pandemic until two years later, examining the influence of sociodemographic, occupational and psychosocial variables. Methods: This was a prospective longitudinal design with three data collection periods in which insomnia was assessed using the Insomnia Severity Index (ISI), in addition to sociodemographic, occupational and psychosocial (i.e., social support, self-efficacy, resilience and cognitive fusion) variables in HCWs (n = 216) who were in direct contact with COVID-19 patients. Results: High scores were observed for insomnia, with a clear decrease throughout the periods studied (F = 30.198, p < 0.001). An association was observed between insomnia and certain sociodemographic and occupational variables (i.e., work category, p = 0.001; availability of Personal Protective Equipment (PPE), p < 0.001; workload, p < 0.001; worry about self or family contagion, p = 0.002, p = 0.003, respectively). Insomnia had negative relationships with social support (p = 0.014), self-efficacy (p < 0.001) and resilience (p < 0.001) and positive relationships with cognitive fusion (p < 0.001). Interaction effects between the evolution of insomnia and social support from friends (p = 0.024, ƞ2 = 0.34) and between the evolution of insomnia and cognitive fusion (p = 0.047; ƞ2 = 0.25) were found. Conclusions: Social support, self-efficacy and resilience act as buffers for insomnia. Cognitive fusion acts as a clear precipitator of insomnia as well as directly influencing its evolution. Social support from friends also affects the evolution of insomnia. Within the specific circumstances of the COVID-19 pandemic, a long-term effect of social support from friends and a short-term effect of cognitive fusion on the evolution of insomnia was observed. The findings emphasize the need to implement specific interventions to promote the mental well-being of HCWs, particularly in crisis contexts that involve an increase in occupational stress, emphasizing the role of certain psychosocial variables as protective factors. Full article

This study analyzed workload variations (internal, external, and mental) in training sessions based on soccer players’ match participation. Thirty-six professional Brazilian players from a single team were categorized into three groups: starter (G1), non-starter (G2) and non-participant (G3) players. Monitoring during sessions involved assessing internal load via perceived exertion, mental load through affective, emotional, and motivational factors, and external load using Global Positioning System devices. On MD+2, starter players exhibited significantly lower values in all categories compared to non-starters (p < 0.001) and non-participants (p < 0.001), while on MD, they displayed the highest values. MD-4 and MD-3 showed no cognitive or emotional load differences; however, variations were observed in RPE, motivation, mental fatigue, and physical metrics. Notably, starters’ lowest values occurred on MD-2 and MD-1. Findings emphasize the need to manage starter players’ load, implementing recovery strategies for optimal performance. Additionally, tailored tasks should be provided for non-starter and non-participant players to compensate for non-performed efforts during match downtime. This study underscores the significance of an individualized training approach based on players’ match participation, contributing valuable insights for optimizing performance and recovery strategies. Full article

Nurses are at high risk of burnout and subsequent mental health concerns due to problems with overstaffing, immense workload volume, and personal health risks associated with the job. Effective mental health treatments are available but potential barriers to receiving care may prevent nurses from benefiting. The Emotional Health and Well-Being Clinic (EHWC) at Houston Methodist is an outpatient mental health clinic offering therapy and medication management services for employees and employee dependents of our institution. The EHWC is uniquely positioned to observe how nurses utilize mental health services and to address barriers to effective care for this vital group of healthcare professionals. This paper provides descriptive data on the utilization of mental health services by nurses in the EHWC and a discussion of possible challenges faced by this group when seeking care. Based on these data, we propose potential solutions to ensure that nurses can achieve maximum benefit from outpatient mental health services. Full article

Measuring pilot mental workload (MWL) is crucial for enhancing aviation safety. However, MWL is a multi-dimensional construct that could be affected by multiple factors. Particularly, in the context of a more automated cockpit setting, the traditional methods of assessing pilot MWL may face challenges. Heart rate variability (HRV) has emerged as a potential tool for detecting pilot MWL during real-flight operations. This review aims to investigate the relationship between HRV and pilot MWL and to assess the performance of machine-learning-based MWL detection systems using HRV parameters. A total of 29 relevant papers were extracted from three databases for review based on rigorous eligibility criteria. We observed significant variability across the reviewed studies, including study designs and measurement methods, as well as machine-learning techniques. Inconsistent results were observed regarding the differences in HRV measures between pilots under varying levels of MWL. Furthermore, for studies that developed HRV-based MWL detection systems, we examined the diverse model settings and discovered that several advanced techniques could be used to address specific challenges. This review serves as a practical guide for researchers and practitioners who are interested in employing HRV indicators for evaluating MWL and wish to incorporate cutting-edge techniques into their MWL measurement approaches. Full article

Employees with mental illness are often the first to be unable to cope with increasingly complex psychosocial work demands. But people without mental illness can also suffer from, for example, high workload. This study compares a short coaching to stabilize work ability for employees with and without mental illness regarding coaching topics, effects on work-related resources, goal attainment, and unwanted events. Individual coaching of three sessions (problem exploration by behavior analysis, practice of new behavior, reflection) was conducted with employees from different professional fields. A medical history was taken to determine whether participants are affected by a mental disorder. All coaching was conducted by the same behavior therapist in training (L.P.W.) under the supervision of an experienced behavior therapist (B.M.). Two hundred and three coachings with three sessions were completed. In total, 103 participants did not have a mental illness (51%), and 100 participants reported a mental disorder (49%). The coaching participants with mental illness had lower initial levels of work-related capacities (more severe impairments) and coping behavior as compared to the participants without mental illness. In the pre–post comparisons, both groups achieved significant improvements in work-related coping after the coaching. There were no differences in goal attainment between both groups. While participants without mental illness reported more unwanted events in parallel to the coaching (30% reported negative developments in life), participants with mental illness reported coaching-related unwanted events (20% felt to be dependent on the coach). Coaching with an individual focus on one topic can improve work-related resources in participants with and without mental disorders. Since participants with and without mental illness experience different unwanted events in coaching, psychotherapeutic expertise is needed in order to set the right focus. Full article

Game platforms have different impacts on player experience in terms of affective states and workloads. By studying these impacts, we can uncover detailed aspects of the gaming experience. Traditionally, understanding player experience has relied on subjective methods, such as self-reported surveys, where players reflect on their experience and effort levels. However, complementing these subjective measures with electroencephalogram (EEG) analysis introduces an objective approach to assessing player experience. In this study, we examined player experiences across PlayStation 5, Nintendo Switch, and Meta Quest 2. Using a mixed-methods approach, we merged subjective user assessments with EEG data to investigate brain activity, affective states, and workload during low- and high-stimulation games. We recruited 30 participants to play two games across three platforms. Our findings reveal that there is a statistically significant difference between these three platforms for seven out of nine experience factors. Also, three platforms have different impacts on play experience and brain activity. Additionally, we utilized a linear model to associate player experience aspects such arousal, frustration, and mental workload with different brain regions using EEG data. Full article

This study examines the direct and interaction relationships between personality traits, psychosocial risk factors, and burnout among male and female workers in the retail sector in Spain. Through a cross sectional design involving 667 participants (241 men, 426 women), it employs self report questionnaires to measure these variables. In addition to a sociodemographic questionnaire, the MBI (burnout), NEO-FFI (personality), CarMen-Q (cognitive, temporal, emotional, and performance demands), and DECORE (support, control, and rewards) were administered. Results indicate that women exhibit higher emotional exhaustion and depersonalization. Results from stepwise multiple regression confirmed that personality traits directly impact burnout dimensions and psychosocial risk factors. Specifically, neuroticism and emotional job demands significantly influence emotional exhaustion, while depersonalization correlates with neuroticism, agreeableness, temporal demands, and organizational support. Personal accomplishment links with extraversion, interacting with temporal demands in men and cognitive demands in women. Individuals high in neuroticism and low in extraversion tend to perceive elevated emotional job demands, leading to intensified emotional exhaustion and depersonalization. The study confirms that personality traits and working conditions affect burnout differently for men and women. Full article

Future airspace is expected to become more congested with additional in-service cargo and commercial flights. Pilots will face additional burdens in such an environment, given the increasing number of factors that they must simultaneously consider while completing their work activities. Therefore, care and attention must be paid to the mental workload (MWL) experienced by operating pilots. If left unaddressed, a state of mental overload could affect the pilot’s ability to complete his or her work activities in a safe and correct manner. This study examines the impact of two different cockpit display interfaces (CDIs), the Steam Gauge panel and the G1000 Glass panel, on novice pilots’ MWL and situational awareness (SA) in a flight simulator-based setting. A combination of objective (EEG and HRV) and subjective (NASA-TLX) assessments is used to assess novice pilots’ cognitive states during this study. Our results indicate that the gauge design of the CDI affects novice pilots’ SA and MWL, with the G1000 Glass panel being more effective in reducing the MWL and improving SA compared with the Steam Gauge panel. The results of this study have implications for the design of future flight deck interfaces and the training of future pilots. Full article

Developing intelligent bus control systems is crucial for fostering the sustainability of urban transportation. Control instructions are produced in real time by the bus control system; these are important technical commands to stabilize the order in which buses operate and improve service reliability. Understanding the behavioral intention of bus drivers to comply with these instructions will help improve the effectiveness of intelligent bus control system implementation. We have developed a psychological model that incorporates decomposed variables of the theory of planned behavior (TPB) and other influencing variables to explain the micromechanisms that determine bus drivers’ behavioral intention to comply with real-time control instructions during both peak and off-peak-hour scenarios. A total of 258 responses were obtained and verified for analysis. The results showed that the influential factors in the peak- and off-peak-hour scenarios were not identical. Female drivers had greater off-peak-hour behavior intention to comply than male drivers, and there were significant differences in peak-hour behavior intention among drivers of different ages. In both peak and off-peak-hour scenarios, perceived benefit positively and perceived risk negatively affected behavioral intention. Perceived controllability positively affected behavioral intention only during peak hours. Self-efficacy only negatively affected behavioral intention during off-peak hours. Three antecedent variables (i.e., trust, mental workload, and line infrastructure support) influenced drivers’ behavioral intentions indirectly via the decomposed variables of TPB. These results provide profound insights for the improvement and implementation of real-time control technology for bus services, thereby facilitating the development of smart and sustainable urban public transport systems. Full article

Objective: Mentoring programs can improve nurses’ mental health. This study examined the effects of a staff training program based on cognitive behavior therapy for burnout in which mentors provided intervention to their mentees. Methods: The principal investigator served as a facilitator and conducted staff training in cognitive behavior therapy. An original cognitive behavior therapy manual was presented to trained nurses (mentors), and lectures were provided on using the manual, ways of implementing cognitive behavior therapy, and other important points. The study participants included 35 mid-career nurses (mentors) and 34 young nurses in their first to third year (mentees) working in acute care hospitals. Groups of five mentees were formed in which two mentors provided cognitive behavior therapy based on the manual. Changes in mentees’ stress, burnout, and turnover intention at pre-intervention, post-intervention, and follow-up (3 months after the intervention) were objectively evaluated using an evaluation index. Results: The intervention significantly reduced the following evaluation indicators: total strain, conflict with other nursing staff, nursing role conflict, qualitative workload, quantitative workload, conflict with patients, problem avoidance due to irrational beliefs, escape-avoidance, emotional exhaustion of burnout, desire to change hospitals or departments, and turnover intention. Conclusion: Implementation of cognitive behavior therapy by mentors effectively reduced mentees’ stress, burnout, and turnover. Full article