Distributed situation awareness: From awareness in individuals and teams to the awareness of technologies, sociotechnical systems, and societies

Unveiling Critical Awareness: Development and Validation of a Situation Awareness Questionnaire for Emergency Rooms

Situation awareness is vital for effective decision-making in emergency rooms. This study developed and validated the "Situation Awareness in the Emergency Room" questionnaire using a 6-month mixed-methods approach. Initial qualitative methods identified key components through interviews and focus groups, followed by quantitative validation with 569 respondents across 77 hospitals in Bali. Confirmatory factor analysis demonstrated excellent model fit (Root Mean Square Error of Approximation = 0.045, Comparative Fit Index = 0.96, Tucker-Lewis Index = 0.95) and strong factor loadings (>0.60). The questionnaire effectively measures General Awareness, Perception of Environment, Understanding of Situation, and Projection of Events, providing a reliable tool for clinical assessments and quality improvement.

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.

When tomorrow comes: A prospective risk assessment of a future artificial general intelligence-based uncrewed combat aerial vehicle system

There are concerns that Artificial General Intelligence (AGI) could pose an existential threat to humanity; however, as AGI does not yet exist it is difficult to prospectively identify risks and develop requisite controls. We applied the Work Domain Analysis Broken Nodes (WDA-BN) and Event Analysis of Systemic Teamwork-Broken Links (EAST-BL) methods to identify potential risks in a future 'envisioned world' AGI-based uncrewed combat aerial vehicle system. The findings suggest five main categories of risk in this context: sub-optimal performance risks, goal alignment risks, super-intelligence risks, over-control risks, and enfeeblement risks. Two of these categories, goal alignment risks and super-intelligence risks, have not previously been encountered or dealt with in conventional safety management systems. Whereas most of the identified sub-optimal performance risks can be managed through existing defence design lifecycle processes, we propose that work is required to develop controls to manage the other risks identified. These include controls on AGI developers, controls within the AGI itself, and broader sociotechnical system controls.

Building Bridges Instead of Putting Up Walls: Connecting the "Teams" to Improve Soccer Players' Support

The increase in the economic value of soccer occurred in parallel with an increase in competing demands. Therefore, clubs and federations evolved to greater specialization (e.g., state-of-the-art facilities and high-profile expertise staff) to support players' performance and health. Currently, player preparation is far from exclusively club or national team centered, and the lack of control in each player's environment can be more prevalent than expected. For example, an elite group of professional players faces disruptions in the season club-oriented planification due to involvement in national teams. Moreover, as elite players' financial resources grow, it is common for them to employ specialized personal staff (e.g., strength and conditioning, nutritionist, and sports psychologist) to assist in their preparation, resulting in complex three-fold relationships (i.e., club, player's staff, national team). Although efforts have been made to improve communication with and transition from the club to the national team supervision, this new reality (club-players' staff) may generate serious compound role-related problems and difficulties in monitoring load and training adaptation and having a unified message. Therefore, efforts must be implemented to ensure a more informed management of the players' performance environment, where the existence and impact of these various personal staff are considered to avoid a long-term non-zero sum for all intervening parties. If left unchecked, current professional thinking may collide or overlap, potentially triggering conflict escalation and impairing athletic performance or health, especially if effective communication routes are not adequately established. Moreover, diluted personal responsibility regarding performance may ensue, resulting in decreased productivity from all involved, which may cause more harm than benefits for the player's overall health and performance. This emerging reality calls for developing a joint working framework (i.e., between the player's personalized support team and the clubs' team) and better managing of a player-centered process.

Forecasting emergent risks in advanced AI systems: an analysis of a future road transport management system

Artificial Intelligence (AI) is being increasingly implemented within road transport systems worldwide. Next generation of AI, Artificial General Intelligence (AGI) is imminent, and is anticipated to be more powerful than current AI. AGI systems will have a broad range of abilities and be able to perform multiple cognitive tasks akin to humans that will likely produce many expected benefits, but also potential risks. This study applied the EAST Broken Links approach to forecast the functioning of an AGI system tasked with managing a road transport system and identify potential risks. In total, 363 risks were identified that could have adverse impacts on the stated goals of safety, efficiency, environmental sustainability, and economic performance of the road system. Further, risks beyond the stated goals were identified; removal from human control, mismanaging public relations, and self-preservation. A diverse set of systemic controls will be required when designing, implementing, and operating future advanced technologies.Practitioner summary: This study demonstrated the utility of HFE methods for formally considering risks associated with the design, implementation, and operation of future technologies. This study has implications for AGI research, design, and development to ensure safe and ethical AGI implementation.

Influencing factors of novice pilot SA based on DEMATEL-AISM method: From pilots' view

Pilot situation awareness (SA) regulates flight safety, and inexperience may impair novice pilot reliability in SA. This study aims to determine the key influencing factors of novice pilot SA and to analyze the interrelationship and interaction mechanism of the factors. We investigated 55 novice pilots trained at aviation schools and identified the influencing factor index system by the Delphi survey. The method of Decision Making Trial and Evaluation (DEMATEL) combined with Adversarial Interpretive Structure Modeling (AISM) was adopted. The results show that: (1) The influencing factor index system includes 18 factors, divided into four categories: individual factors, team factors, task and human-machine system factors, and cockpit environment factors. (2) Team communication, team cooperation, basic cognitive ability, interface design, occupational age and experience, and authority gradient are the six crucial influencing factors. The former three have the greatest association with other factors, while the latter three are most likely to affect other factors. (3) Team communication, basic cognitive ability, and interface design are root-cause factors, of which team communication is the most fundamental. (4) The results of DEMATEL and AISM are consistent, both disclosing team communication as the fundamental factor with the highest priority, and cockpit environmental factors as the direct influencing factors but most susceptible to other factors. The present study can be viewed as a conducive attempt to extract vital influencing factors of novice pilot SA, and to provide ergonomic insights for determining the priorities to improve novice pilot SA in training and aircraft design for flight safety.

Impact of Post-Covid-19 on driver behaviour: A perspective towards pandemic-sustained transportation

Introduction

With the announcement of novel Coronavirus disease 2019 (Covid-19) as a pandemic by World Health Organization (WHO) in March 2020, the whole world went into a lockdown that heavily affected human economic and social life. Since December 2020, with the discovery of effective vaccines, the world is now returning to some normality, particularly for those who are vaccinated. The multimodal transportation has resumed with majority of vaccinated drivers being back on road, driving to their work, and providing transport services. However, there are still several long-term Post-Covid-19 factors, affecting driver health and psychology.

Methods

The study deployed a systematic search strategy and selected 62 research publications after rigorous evaluation of the literature. The review was based on (1) forming the inclusion and exclusion criteria, (2) selecting the appropriate keywords, and (3) searching of relevant publications and assessing the eligible articles.

Results

A broad perspective study is carried out to gauge the impact of Post-Covid-19 scenarios on the driver physical health and mindset in the context of road safety and pandemic-sustained transportation. It was found that the Post-Covid-19 factors such as wearing face-mask during driving, taking oral anti-viral drugs, and fear of contracting disease, significantly impact the driver's performance and situation awareness skills. The analysis suggested that driver's health vitals and psychological driving awareness can be precisely detected through hybrid driver state monitoring methods.

Conclusions

The paper conducts a comprehensive review of the published work and provides unique research opportunities to counteract the challenges involved in precise monitoring of driver behaviour under the effects of different Post-Covid-19 factors. The perspective suggested the possible solutions to live with the pandemic in the context of pandemic-sustained transportation.

Using the ISM-ANP-SD combination model to explore the mechanism and intervention strategies of influencing factors of coal mine safety system

Background

With the intelligent construction of coal mines, the number of coal mine accidents is gradually decreasing, but the complexity of accidents is increasing. Understanding the interaction mechanism among the influencing factors of the coal mine safety system is an essential part of improving and enhancing the safety of the coal mine system.

Methods

The descriptive, structural model-network hierarchical analysis (ISM-ANP) was used to explore the interaction between the factors influencing the coal mine safety system and determine each factor's importance. A system dynamics simulation model was constructed to clarify the mechanism of each factor's effect on the safety system.

Results

The results show that Individual miners' factors directly influence coal mine system safety, organizational management factors, and group factors indirectly influence system safety and play the role of macro regulation. The intelligent system is the most profound factor influencing system safety. There are apparent differences in the influence of different subsystems on system safety, with organizational management having the most significant influence on system safety, followed by individual miners and group factors, and intelligent system factors and external environmental factors having a more negligible influence on system safety.

Conclusion

There is a complex interaction between the factors affecting the safety of the coal mine system, and there are apparent differences in the influence of different subsystems on the safety level of the coal mine system. This study puts forward the intervention strategy to improve the safety of the coal mine system, which provides theoretical support and method guidance for preventing coal mine accidents and improving the safety level of the coal mine system.

Human Factors and Ergonomics (HFE) applications in responses to the COVID-19 pandemic: Lessons learned and considerations for methods

Human Factors and Ergonomics (HFE), with the goal to support humans through system design, can contribute to responses to emergencies and crises, like the COVID-19 pandemic. In this paper, we describe three cases presented at the 21st Triennial Congress of the International Ergonomics Association to demonstrate how HFE has been applied during the COVID-19 pandemic, namely to (1) develop a mobile diagnostic testing system, (2) understand the changes within physiotherapy services, and (3) guide the transition of a perioperative pain program to telemedicine. We reflect on methodological choices and lessons learned from each case and discuss opportunities to expand the impact of HFE in responses to future emergencies. The HFE discipline should develop faster, less resource intensive but still rigorous, methods, increase available HFE expertise by growing the field, and proactively enhance individual and public perception of the importance of HFE in crisis response.