The effect of information integration on team communication in a simulated submarine control room task.

Submarine control rooms are characterised by dedicated individual roles for information types (e.g. Sonar operator processes sound energy), with individuals verbally reporting the information that they receive to other team members to help resolve uncertainty in the operational environment (low information integration). We compared this work design with one that ensured critical information was more readily available to all team members (high information integration). We used the Event Analysis of Systemic Teamwork (EAST) method to analyse task, information, and social networks for novice teams operating within a simulated submarine control room under low versus high information integration. Integration impacted team member centrality (importance relative to other operators) and the nature of information shared. Team members with greater centrality reported higher workload. Higher integration across consoles altered how team members interacted and their relative status, the information shared, and how workload was distributed. However, overall network structures remained intact.

Wider integration (distribution) of information within teams in a simulated submarine control room altered the content of the information shared between team members and the centrality and workload of team members. Practitioners must consider how to integrate information in sociotechnical systems such that information traditionally held by specialist positions can be distributed within teams to benefit team performance and other outcomes.

Looking beyond the screen: A systematic review of safety in control rooms.

As a complex socio-technical system, the Control Room (CR) is central to many industries, such as process, aviation, transportation, and mining. CRs' complexity impacts the safety, operational, engineering, regulatory, and financial performance of the system. In this study, a search strategy was defined and applied to three reputable databases: Scopus, Web of Science, and PubMed. The search results underwent a two-stage screening process based on inclusion and exclusion criteria. The inclusion criteria were investigating the safety in the CR, full-text availability, and writing in English. The exclusion criteria were unrelated to the safety in the CR, non-English Language, and non-original studies. A total of 59 studies were included in the analysis. The included articles were systematically reviewed from the Human Reliability Assessment (HRA) and Human Factors Engineering (HFE) perspectives. Since these records covered various subjects related to human reliability and human factor aspects, a categorization step was added to the study process. In this step, all included studies were categorized based on their subjects. A total of 7 categories were identified, including reliability (17 documents), safety performance (13 documents), decision-support systems (7 documents), fire safety (2 documents), communication/teamwork (11 documents), situation awareness (4 documents), and others (5 documents). Finally, the included studies in each category were analyzed and discussed. The results of this study help identify different aspects of safety in the control room and plan to improve their safety weaknesses, which ultimately leads to an increase in the efficiency of employees and various industries.

Measuring cognitive workload in the nuclear control room: a review.

Despite the substantial literature and human factors guidance, evaluators report challenges in selecting cognitive workload measures for the evaluation of complex human-technology systems. A review of 32 articles found that self-report measures and secondary tasks were systematically sensitive to human-system interface conditions and correlated with physiological measures. Therefore, including a self-report measure of cognitive workload is recommended when evaluating human-system interfaces. Physiological measures were mainly used in method studies, and future research must demonstrate the utility of these measures for human-system evaluation in complex work settings. However, indexes of physiological measures showed promise for cognitive workload assessment. The review revealed a limited focus on the measurement of excessive cognitive workload, although this is a key topic in nuclear process control. To support human-system evaluation of adequate cognitive workload, future research on behavioural measures may be useful in the identification and analysis of underload and overload.

This review provides background for the selection of cognitive workload measures for the evaluation of complex human­technology systems and identifies future research needs for applied cognitive workload assessment.

A video processing and machine learning based method for evaluating safety-critical operator engagement in a motorway control room.

In safety-critical automatic systems, safety can be compromised if operators lack engagement. Effective detection of undesirable engagement states can inform the design of interventions for enhancing engagement. However, the existing engagement measurement methods suffer from several limitations which damage their effectiveness in the work environment. A novel engagement evaluation methodology, which adopts Artificial Intelligence (AI) technologies, has been proposed. It was developed using motorway control room operators as subjects. Openpose and Open Source Computer Vision Library (OpenCV) were used to estimate the body postures of operators, then a Support Vector Machine (SVM) was utilised to build the engagement evaluation model based on discrete states of operator engagement. The average accuracy of the evaluation results reached 0.89 and the weighted average precision, recall, and F1-score were all above 0.84. This study emphasises the importance of specific data labelling when measuring typical engagement states, forming the basis for potential control room improvements.Practitioner summary: This study demonstrates an automatic, real-time, objective, and relatively unobtrusive method for measuring dynamic operator engagement states. Computer vision technologies were used to estimate body posture, then machine learning (ML) was utilised to build the engagement evaluation model. The overall evaluation shows the effectiveness of this framework.Abbreviations: AI: Artificial Intelligence; OpenCV: Open Source Computer Vision Library; SVM: Support Vector Machine; UWES: Utrecht Work Engagement Scale; ISA Engagement Scale: Intellectual, Social, Affective Engagement Scale; DSSQ: Dundee Stress State Questionnaire; SSSQ: Short Stress State Questionnaire; EEG: electroencephalography; ECG: Electrocardiography; VMOE: Video-based Measurement for Operator Engagement; CMU: Carnegie Mellon University; CNN: Convolutional Neural Network; 2D: two dimensional; ML: Machine learning.

An ergonomic focus evaluation of work-related musculoskeletal disorders amongst operators in the UAE network control centres.

Work-related musculoskeletal disorders (WMSDs) have rapidly increased during the last decade, but only a few descriptive surveys have been conducted in the United Arab Emirates (UAE). This study investigated the prevalence of WMSDs and analysed their ergonomic risks amongst operators in the network control rooms across two government organisations, X and Y, in the UAE. Essential data were collected by the Nordic Musculoskeletal Questionnaire (NMQ) and the Maastricht Upper Extremity Questionnaire (MUEQ) from online surveys and direct observations based on the Rapid Office Strain Assessment (ROSA) and the Rapid Upper Limb Assessment (RULA) form and ergonomic measurements for the working environments, respectively. Fifty-three and eighteen operators participated from Organisations X and Y. This study found a high presence of WMSDs in both organisations over the past 12 months. In Organisation X, individual, work-related physical and psychosocial risk factors of high BMI, educational level, morning work shift, high job duration, lack of exercise habit, awkward body posture, high job demand, low job control, and low work social support were associated with WMSDs in different body areas (p < 0.05). In Organisation Y, older age, high BMI, high job duration, lack of exercise habits, unergonomic workstations, awkward body posture, low break time, high job demand, and stress level were associated with WMSDs in different body areas (p < 0.05). The control room operators' most affected body areas were the back, eyes, and neck. Several efficient ergonomic intervention ideas were explored to lessen the detrimental effects of WMSDs and preclude the development of WMSDs amongst the control centre operators.

Physiological measures of operators' mental state in supervisory process control tasks: a scoping review.

Physiological measures are often used to assess the mental state of human operators in supervisory process control tasks. However, the diversity of research approaches creates a heterogeneous landscape of empirical evidence. To map existing evidence and provide guidance to researchers and practitioners, this paper systematically reviews 109 empirical studies that report relationships between peripheral nervous system measures and mental state dimensions (e.g. mental workload, mental fatigue, stress, and vigilance) of interest. Ocular and electrocardiac measures were the most prominent measures across application fields. Most studies sought to validate such measures for reliable assessments of cognitive task demands and time on task, with measures of pupil size receiving the most empirical support. In comparison, less research examined the utility of physiological measures in predicting human task performance. This approach is discussed as an opportunity to focus on operators' individual response to cognitive task demands and to advance the state of research.

Physiological measures can provide the basis for dynamic operator assistance in supervisory process control tasks. This review synthesises the existing evidence, highlighting both the aggregated empirical support and the heterogeneity of the results. To advance the status quo, a larger emphasis on physiological measures as predictors of operator performance is needed.Abbreviations: HF/E: Human factors and ergonomics; CNS: Central nervous system; PNS: Peripheral nervous system; HR: Heart rate; HRV: Heart rate variability; IBI: Interbeat interval; AVNN: Average of RR intervals; SDRR: Standard deviation of RR intervals; CVRR: Coefficient of variation in RR intervals; RMSSD: Root mean square of successive; pNNX: Percentage of successive RR intervals; MAD: Median absolute deviation; LF: Power of the low-frequency; MF: Power of the mid-frequency; HF: Power of the high-frequency; TP: Total power.

[Analysis of noise reduction measures in a noise workshop handover control room].

Objective: To explore the sound insulation, sound absorption and other noise reduction transformation methods in a noise workshop handover control room. Methods: In December 2021, through the occupational health investigation and on-site testing of the handover control room of a noise workshop, the causes of excessive noise were analyzed, and the transformation design scheme to reduce noise was proposed and the effect was analyzed. Results: Before the transformation, the peak frequency band noise intensity of the noise workshop handover control room was 112.8 dB (A), and the peak frequency was 1000 Hz. After noise reduction, the theoretical calculated control value was 61.0 dB (A), and the measured noise intensity was 59.8 dB (A) . Conclusion: The noise intensity of the handover control room is reduced after noise reduction, which is in line with the contact limit requirements of the control room in GBZ 1-2010 "Hygienic Standards for the Design of Industrial Enterprises", and has reference significance for noise control engineering.

KISTI remote control room for CDF and Belle II collider experiments.

Particle collider experiments would be continued even when one is not present at the laboratory (on-site). To achieve this, we require an e-Science paradigm of studying particle physics anytime anywhere. One of the components for establishing this paradigm is a remote control room for data acquisition (DAQ). We developed and embedded a remote control room at the Korea Institute of Science and Technology Information (KISTI). Since then, we have been adopting on/offline shifts for conducting collider experiments at KISTI, that is, the experiments are done even when we are not on-site. In this paper, we introduce our experience of our remote control room for both CDF and Belle II experiments. This remote control room includes international networks, security, DAQ systems, data transfers, and monitoring systems. We also presented the results of the shifts done in the remote control room at KISTI.

Development and validation of a task load index for process control room operators (PCRO-TLX).

Process control room operators (PCRO) perform a range of complex cognitive safety-critical tasks. The aim of this exploratory sequential mixed methods study was to develop an occupation specific tool to measure the task load of PCRO using NASA Task Load Index (TLX) methodology. Participants were 30 human factors experts and 146 PCRO at two refinery complexes in Iran. Dimensions were developed via a cognitive task analysis, a research review, and three expert panels. Six dimensions were identified: perceptual demand, performance, mental demand, time pressure, effort, and stress. Data from 120 PCRO confirmed that the developed PCRO-TLX has acceptable psychometric properties, and a comparison with the NASA-TLX confirmed that perceptual, not physical, demand was relevant for measuring workload in PCRO. There was a positive convergence of scores of the Subjective Workload Assessment Technique and the PCRO-TLX. This reliable tool (α = 0.83) is recommended for risk assessing the task load of PCRO.Practitioner summary: There are benefits of having a specific tool to measure task load in safety critical roles. Thus, we developed and validated an easy-to-use targeted tool, the PCRO-TLX, for process control room operatives. Timely use and response will assure optimal production alongside health and safety in an organisation.Abbreviations: PCRO: process control room operator; TLX: task load index; PCRO-TLX: process control room operator task load index; NASA-TLX: National Aeronautics and Space Administration task load index; SWAT: subjective workload assessment technique; DALI: driving activity load index; SURG-TLX: surgery task load index; SIM-TLX: virtual reality simulation task load index; VACP: visual, auditory, cognitive and psychomotor; CVI: content validity index; CVR: content validity ratio; RMSEA: root mean square of error approximation; GFI: goodness of fit index; AGFI: adjusted goodness of fit index; CFI: comparative fit index; ANOVA: analysis of variance; CI: confidence interval.

Analysis of noise reduction measures in a noise workshop handover control room / 中华劳动卫生职业病杂志

Objective: To explore the sound insulation, sound absorption and other noise reduction transformation methods in a noise workshop handover control room. Methods: In December 2021, through the occupational health investigation and on-site testing of the handover control room of a noise workshop, the causes of excessive noise were analyzed, and the transformation design scheme to reduce noise was proposed and the effect was analyzed. Results: Before the transformation, the peak frequency band noise intensity of the noise workshop handover control room was 112.8 dB (A), and the peak frequency was 1000 Hz. After noise reduction, the theoretical calculated control value was 61.0 dB (A), and the measured noise intensity was 59.8 dB (A) . Conclusion: The noise intensity of the handover control room is reduced after noise reduction, which is in line with the contact limit requirements of the control room in GBZ 1-2010 "Hygienic Standards for the Design of Industrial Enterprises", and has reference significance for noise control engineering.

Management of COVID-19 during the second wave at a tertiary care public hospital in Eastern India: An experience from the administrative control room.

Context: Though many arrangements had been made during the first wave, multiple complaints were reported regarding the arrangements made for COVID patients. The control room was set up as a 24 × 7 administrative coordination center to attend to issues after the initial setup of COVID units. Aim: To identify the major problems reported to the control room during the second wave of COVID-19 and find the related cause for the same. Methods and Materials: Issues reported to the control room were recorded from April to June (2021). The control room residents were asked to allocate each problem into six categories. Next, the residents allotted a frequency score to each of the problems depending on how regularly it was reported. Secondary data from various reports were also considered. Statistical Analysis Used: Data were analyzed using MS Excel software. Results: Various administrative issues were identified to be due to issues in communication and coordination (23%), policy and procedures (22%), human resource and training (16%), administration and implementation (15%), infrastructure (14%), and HMIS and IT (10%). Conclusion: Most frequent problems reported to the control room were related to infrastructure, policy implementation, and manpower training. After the initial implementation of new processes, there was a requirement for regular follow-up and coordination. This model of setting up an administrative control room and evidence-based approach will serve as a template for public hospitals to ensure coordination of hospital operations.

UAV and IoT-Based Systems for the Monitoring of Industrial Facilities Using Digital Twins: Methodology, Reliability Models, and Application.

This paper suggests a methodology (conception and principles) for building two-mode monitoring systems (SMs) for industrial facilities and their adjacent territories based on the application of unmanned aerial vehicle (UAV), Internet of Things (IoT), and digital twin (DT) technologies, and a set of SM reliability models considering the parameters of the channels and components. The concept of building a reliable and resilient SM is proposed. For this purpose, the von Neumann paradigm for the synthesis of reliable systems from unreliable components is developed. For complex SMs of industrial facilities, the concept covers the application of various types of redundancy (structural, version, time, and space) for basic components-sensors, means of communication, processing, and presentation-in the form of DTs for decision support systems. The research results include: the methodology for the building and general structures of UAV-, IoT-, and DT-based SMs in industrial facilities as multi-level systems; reliability models for SMs considering the applied technologies and operation modes (normal and emergency); and industrial cases of SMs for manufacture and nuclear power plants. The results obtained are the basis for further development of the theory and for practical applications of SMs in industrial facilities within the framework of the implementation and improvement of Industry 4.0 principles.

A comprehensive design for prevention and management of COVID-19 in a tertiary medical institution in Bangladesh.

INTRODUCTION: Containment of the further spread of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection and reducing fatality due to coronavirus disease 19 (COVID-19) represent a pressing challenge to global health services. Here, we present a management blueprint for both the containment of SARS-CoV-2 and treatment of COVID-19 through a comprehensive approach. METHODOLOGY: A cohort of 130 consecutive patients identified as positive for SARS-CoV-2 by testing of nasal swab by polymerase chain reaction were managed at a peripheral city of Bangladesh between 1 April and 31 May, 2020. Based on their clinical status, 64 of them were initially selected for isolation (Isolation Group) and 66 recommended for hospitalization (Hospital Group) as per the direction of the "Central COVID-19 Control" Center. Both groups of patients were allocated to receive standard of care management and oxygen inhalation, and intensive care unit management as and when necessary. Based on the conditions of the COVID-19 patients, there was an active system of patients being transferred from the "Isolation Group" to "Hospital Group" and vice versa. RESULTS: Twelve patients of the "Isolation Group" were transferred to the hospital, as they exhibited symptoms of deterioration. Four patients of the "Hospital Group" died during the observation period of two months in the intensive care unit. However, there has been no fatality among the patients of the "Isolation Group". CONCLUSIONS: The concept of "Isolation" and "Hospital Management" with the participation of the community seems to be an effective management strategy for COVID-19 in developing countries.

Comparative Analysis of Emergency Planning Zone and Control Room Habitability for Potential Nuclear Reactor Deployment in Ghana.

Following the recent surge in harnessing clean energy sources to fast-track carbon neutrality, renewable and nuclear energies have been the best-rated sources of clean energy. Even though renewable energy presents an almost insignificant risk to public health and the environment, they are insufficient to support the growing demand for the high energy required for industrialization. Despite the competitive potential of nuclear energy to meet these demands, public concerns about its safety have significantly hindered its mass deployment in developing countries. Therefore, one of the primary considerations in commissioning a nuclear power plant is the establishment of emergency planning zones based on the reactor type and other siting criteria. Based on Ghana's reactor type assessment (RTA), four reactor designs were considered in this study which are APR1400, HPR1000, VVER1200, and Nuscale Power Module. Using the NRC's SNAP/RADTRAD and RASCAL codes, this research sought to investigate radionuclide doses released at the Exclusion Area Boundary (EAB), Low Population Zone (LPZ), Control room (CR), and the 16 km recommended public safe zone during Fuel handling Accidents (FHA), Rod Ejection Accident (REA), and Long-Term Station Blackout (LTSBO). The results revealed that reactors' power contributed to the source term activities and offsite consequences during REA and LTSBO, while FHA was predominantly affected by the number of fuel assemblies and a fraction of damaged fuel. Additionally, the accidents considered in this study followed a similar trend of impact in decreasing order of reactor power and the number of fuel assemblies; APR1400 < VVER1200 < HPR1000 < Nuscale. Nevertheless, all the doses were within regulatory limits.

Context-Dependent Cognitive Workload Monitoring using Pupillometry for Control Room Operators to Prevent Overload.

OCCUPATIONAL APPLICATIONSModernization of process plants has replaced traditional machine control with sophisticated computerized control, with the work required of control room operators changing from predominantly physical to cognitive. As a result, excessive cognitive workload during an abnormal condition is not an uncommon situation. Almost 70% of accidents in process industries are the result of human error, which is largely modulated by high cognitive workload. A context-dependent methodology using pupillometry was adopted in this study for workload assessment. We found that workload has a significant effect on task performance and subsequent success in handling an abnormal condition. Incorporating contextual information along with pupillometry-based measures was useful to explore the dynamics of variations in workload in depth. In addition, the proposed methodology is a more reliable method for a dynamic environment in which the situation evolves with operator interactions with the process.

Background Operator workload monitoring has become an important aspect of system engineering due to ever increasing cognitive demands in the control room. Higher cognitive workload, beyond capability, is directly associated with human error in plant operations. Even a small increase in workload during peak demand may result in human error, which can endanger the safety of a process plant.Purpose Subjective methods are of limited use due to the requirement for near real-time evaluation of cognitive workload. Applications such as process plant control room require the operator to reiterate and re-represent the situation based on the contextual cues from environment. Hence, our objective was to develop and test a methodology that incorporates contextual information in workload measurement using pupillometry.Method Participants (n = 44) performed simulated process control tasks. Pupil size was recorded using an eye-tracking device. Recorded pupil size was analyzed based on a methodology that incorporates contextual information from the human-machine interface. Events that present new information about the current state of the process were categorized as critical events. Pupil size variation was adopted to provide an estimate of cognitive workload between consecutive critical events.Results Cognitive workload was associated with process behavior and operator actions. An increase in cognitive workload for specific events was observed when participant actions deteriorated process conditions. We also observed that overall task performance was associated with the frequency of certain events and corresponding variations in pupillary behavior.Conclusion Incorporating contextual information provides more detailed insights into the dynamics of variations in cognitive workload. The mental representation of a current situation may vary depending on expertise level. The proposed methodology assesses such dynamic mental representations in the form of frequency of critical events and corresponding changes in the cognitive workload that ultimately determines the likelihood of an operator successfully completing a task.

Investigating Cognitive Load in Energy Network Control Rooms: Recommendations for Future Designs.

This study analyzed and explored the cognitive load of Australian energy market operators managing one of the longest inter-connected electrical networks in the world. Each operator uses a workstation with seven screens in an active control room environment, with a large coordination screen to show information and enable collaboration between different control centers. Cognitive load was assessed during both training scenarios and regular control room operations via the integration of subjective and physiological measures. Eye-tracking glasses were also used to analyze the operators gaze behavior. Our results indicate that different events (normal or unexpected), different participants for the same session, and different periods of one session all have varying degrees of cognitive load. The system design was observed to be inefficient in some situations and to have an adverse affect on cognitive load. In critical situations for instance, operator collaboration was high and the coordination screen was used heavily when collaborating between two control centers, yet integration with the system could be improved. Eye tracking data analysis showed that the layout of applications across the seven screens was not optimal for many tasks. Improved layout strategies, potential combination of applications, redesigning of certain applications, and linked views are all recommended for further exploration in addition to improved integration of procedures and linking alarms to visual cues.

Validating an abnormal situation prediction model for smart manufacturing in the oil refining industry.

Human beings play an important role in a smart manufacturing economy. The repetitive and cognitive demanding task operations of smart manufacturing require the development of system models for measuring and predicting human performance, including oil refinery monitoring tasks. The main objective of this research was to validate the generalizability of a mathematical model for the prediction of refinery operators' detection of abnormal events. Moreover, we examined operators' visual behaviors in response to abnormal situations at different ages and with different task loads, task complexities, and input devices. We found that participants had lower mean fixation durations, total fixation numbers, and fixation/saccade ratios when they were in the condition of a touchscreen device. Moreover, we found that older adults had higher mean saccade durations and saccade amplitudes when they were in the condition of a touchscreen device. Finally, the statistical model borrowed from our prior paper was found to be generalizable to different task loads and age groups for the prediction of operators' detection of abnormal events. Our results showed that visual behaviors can indicate specific internal states of participants, including their cognitive workload, attention, and situation awareness in a real-time manner. The findings provide additional support for the value of using visual behavior to predict responsiveness of oil refinery operators and for future applications of smart manufacturing monitoring systems.

Exploring individual factors influencing human reliability among control room operators: a qualitative study.

Identifying the individual factors is a major issue in determining the likelihood of human error and ultimately human reliability. In current human reliability assessment methods, this is determined based on a list of performance shaping factors and experts' judgment. This was a qualitative content analysis study, in which the participants were selected using purposive sampling from combined cycle power plant control rooms. Semi-structured interviews were performed and collected data were analyzed. A total of 32 operators (20 module controllers, eight head operators and four managers) were interviewed. Five categories were extracted, namely 'mental condition', 'consciousness at work', 'professional competence', 'communication skills' and 'quick reactions and decision-making capabilities'. Accordingly, it is suggested to taken into account such factors as professional competence and speed of reactions and to pay more attention to their important factors in the reliability of operators in combined cycle power plant control rooms.

The quest for the ring: a case study of a new submarine control room configuration.

Submarine control room layouts have remained similar across decades of operation, despite the introduction of new technologies that allow for the co-location of the sound and control room. Operation of an inwards, rather than outwards, facing ring control room configuration was examined in three scenarios: Return to Periscope Depth, Inshore Operations, and Dived Tracking. A case study design employed a serving team of qualified submariners participated in all three scenarios with high and low demand. Communications and activities in the control room were recorded and analysed using the Event Analysis of Systemic Teamwork (EAST) method. EAST models collaborative teamwork through social, information, and task networks. The results from the ring configuration were compared to an outward facing baseline of the contemporary control room layout with a separate sound and control room. The ring control room configuration increased communications between operators, leading to a more information exchanged, and more tasks completed. Practitioner summary: Control room design on submarines, and other domains, has traditionally been outward facing with supervisory staff looking over the shoulders of their subordinates. In this paper, and inward looking control room design was explored, with subordinate staff facing their supervisors. This design resulted in more information exchange and productive work.

Inpatient Telemedicine and New Models of Care during COVID-19: Hospital Design Strategies to Enhance Patient and Staff Safety.

The challenges of the COVID-19 pandemic have led to the development of new hospital design strategies and models of care. To enhance staff safety while preserving patient safety and quality of care, hospitals have created a new model of remote inpatient care using telemedicine technologies. The design of the COVID-19 units divided the space into contaminated and clean zones and integrated a control room with audio-visual technologies to remotely supervise, communicate, and support the care being provided in the contaminated zone. The research is based on semi-structured interviews and observations of care processes that implemented a new model of inpatient telemedicine at Sheba Medical Center in Israel in different COVID-19 units, including an intensive care unit (ICU) and internal medicine unit (IMU). The study examines the impact of the diverse design layouts of the different units associated with the implementation of digital technologies for remote care on patient and staff safety. The results demonstrate the challenges and opportunities of integrating inpatient telemedicine for critical and intermediate care to enhance patient and staff safety. We contribute insights into the design of hospital units to support new models of remote care and suggest implications for Evidence-based Design (EBD), which will guide much needed future research.