Understanding Of Situation Awareness Research Articles

Using the Endsley Model to Evaluate Simulation-Based Situation Awareness Training for Medical and Nursing Students in India: A Qualitative Analysis.

Situation awareness (SA) training is a vital part of healthcare training, and opportunities to provide SA training to healthcare workers are limited in low- and middle-income countries. We aimed to analyze undergraduate medical and nursing students' perception of their understanding of SA through an interprofessional obstetric neonatal emergency simulation workshop (ONE-Sim) and subsequently evaluate their perceived changes in SA understanding using the Endsley model ( Hum Factors 1995;37(1):32-64). Feedback on SA before and after the workshop was collected through questionnaire-based surveys. Thematic analysis was performed, with themes emerging from an inductive analysis followed by a deductive analysis using the Endsley model. The themes emerging from the inductive analysis included environmental awareness, evolving knowledge, skill development, and applicability to practice. These aligned with the 3 levels of SA in the Endsley model in the deductive analysis suggesting that participants transformed their perception, comprehension, and projection of SA after the workshop. Simulation-based education enhanced SA perception in obstetric and neonatal emergencies for medical and nursing students in a low- and middle-income country, and the Endsley model is a feasible framework to measure learner perceived changes in SA understanding through simulation-based education.

Review of Different Geospatial Perspectives for the Identification and Mitigation of Potential Security Threats to Satellite Platforms

Satellite infrastructure plays a vital role in today's world. As more systems rely on this technology it increasingly becomes a target for security threats. The existence of such risks has been acknowledged internationally as more resources are allocated to their study and understanding. In this context, studying satellite technologies from a geospatial perspective has provided a situational awareness understanding of the technology ecosystem and its strengths, limitations, and vulnerabilities. New technologies such as artificial intelligence, machine learning, and blockchain must be studied to generate security countermeasures for satellite technologies.

The influence of task load on situation awareness and control strategy in the ATC tower environment

The safe and efficient operation of air traffic is highly dependent on the performance of the Air Traffic Control Officer (ATCO). The ATCOs control the traffic within defined areas by monitoring the traffic and granting clearances. A key element in analyzing the ATCOs is their interaction with the environment through their workplace. Especially the influence of task load on their situation awareness (SA) and applied control strategy provides information on the quality of the workplace. As task load increases, controllers are able to maintain performance by using different management or compensation strategies. This article supports the evaluation of ATCO’s workplaces by focusing on whether probe techniques for assessing SA are applicable for tower control operation and for measuring the influences of increased task load on the control strategy. An experiment with nine ATCOs was conducted in a simulated real-time air traffic control environment. Different measurements for SA were applied and compared regarding their efficiency and validity. The manipulation of task load and visibility influenced the SA and control strategy at the same time. Performance metrics were selected in advance to evaluate the participant’s efficiency. SA was measured with a probe technique and an offline self-assessment method. Findings suggest that probe techniques increase the insight into the understanding of SA in comparison to self-assessment and that they are applicable to the air traffic control environment. Control strategies were derived from the information-gathering process via the eye-movement behavior and connected to task load. The results imply that SA is part of the individual performance and that increasing demand through task load is handled with an adaptation of the control strategy.

Exploring anesthesiologists' understanding of situational awareness: a qualitative study.

This study explored how anesthesiologists understand situational awareness (SA) and how they think SA is learned, taught, and assessed. Semi-structured interviews were performed with practicing anesthesiologists involved in teaching. This qualitative study was conducted using constructivist grounded theory techniques (i.e., line-by-line coding, memoing, and constant comparison) in a thematic analysis of interview transcripts. Group meetings were held to develop and review themes emerging from the data. Eighteen anesthesiologists were interviewed. Respondents displayed an understanding of SA using a mixture of examples from clinical experience and everyday life. Despite agreeing on the importance of SA, formal definitions of SA were lacking, and the participants did not explicate the topic of SA in either their practice or their teaching activities. Situational awareness had been learned informally through increasing independence in the clinical context, role modelling, reflection on errors, and formally through simulation. Respondents taught SA through modelling and discussing scanning behaviour, checklists, verbalization of thought processes, and debriefings. Although trainees' understanding of SA was assessed as part of the decision-making process for granting clinical independence, respondents found it difficult to give meaningful feedback on SA to their trainees. Although SA is an essential concept in anesthesiology, its use remains rather tacit, primarily due to the lack of a common operational definition of the term. Faculty development is required to help anesthesiologists teach and assess SA more explicitly in the clinical environment.

Exploring situational awareness in emergency medicine: developing a shared mental model to enhance training and assessment

Non-technical skills (NTS) are gaining increasing prominence within the field of emergency medicine. Situational awareness (SA), one key component of NTS, is a key skill for emergency physicians (EPs) during...

Distributed situation awareness in complex collaborative systems: A field study of bridge operations on platform supply vessels.

This study provides empirical data about shipboard practices in bridge operations on board a selection of platform supply vessels (PSVs). Using the theoretical concept of distributed situation awareness, the study examines how situation awareness (SA)-related information is distributed and coordinated at the bridge. This study thus favours a systems approach to studying SA, viewing it not as a phenomenon that solely happens in each individual's mind but rather as something that happens between individuals and the tools that they use in a collaborative system. Thus, this study adds to our understanding of SA as a distributed phenomenon. Data were collected in four field studies that lasted between 8 and 14 days on PSVs that operate on the Norwegian continental shelf and UK continental shelf. The study revealed pronounced variations in shipboard practices regarding how the bridge team attended to operational planning, communication procedures, and distracting/interrupting factors during operations. These findings shed new light on how SA might decrease in bridge teams during platform supply operations. The findings from this study emphasize the need to assess and establish shipboard practices that support the bridge teams' SA needs in day-to-day operations.Practitioner pointsProvides insights into how shipboard practices that are relevant to planning, communication and the occurrence of distracting/interrupting factors are realized in bridge operations.Notes possible areas for improvement to enhance distributed SA in bridge operations.

Situation Awareness in Anesthesia

Accurate situation awareness (SA) of medical staff is integral for providing optimal performance during the treatment of patients. An understanding of SA and how it affects treatment of patients is therefore crucial for patient safety and an essential element for research on human factors in anesthesia. This review describes the concept of SA in the anesthesia environment, including the interaction with associated medical teams. Different approaches for its assessment in the work environment of anesthesia are provided. Factors contributing to expertise in SA are described and approaches for the training of SA in anesthesia are discussed, as are types of errors that occur during the development of SA. Finally, the authors briefly present strategies to improve SA during daily anesthesia practice through altered designs of monitor displays.

Measuring and Predicting Shared Situation Awareness in Teams

In order to improve our understanding of situation awareness (SA) in teams performing in technologically advanced command, control, and communications (C3) operations, researchers need to develop valid approaches to assess both individual and shared SA. We investigated SA in an interdisciplinary military rescue operation training exercise. For this study, we developed procedures to measure the degree of shared SA between two team members and to improve the accuracy of their shared SA scores. We suggest that SA scores that are calculated using many existing methods may be inflated because they often fail to account for error in terms of both the amount of information that is thought to be relevant and in the accuracy of a person's knowledge of it. We calculated true SA scores that account for both of these types of error. The measures were then used to evaluate five potential predictors of shared SA. Our analysis suggested that failure to compensate for error in SA may lead to overestimation of performance in a situation. The results also revealed a significant relationship between shared SA and participants' distance from a central, joint service team, which acted as the organizational hub within the C3 structure. Shared SA was better the further away from the hub people were, which suggests that a person's role and position within an organization affects the level of shared SA that can be achieved with other individuals.

Automation and Decision Making—Lessons from the Cali Accident

The accident involving an American Airlines Boeing 757 that crashed on approach to Cali. Colombia, in December 1995, was examined to better understand the errors that the pilots committed. Their loss of situation awareness about their proximity to terrain resulted from several factors involving their use of the flight management system under high workload conditions. The implications of FMS use on our understanding of situation awareness and decision making are explored.

Assessment of Pilot Situational Awareness: Measurement via Simulation

While pilots have an intuitive understanding of situational awareness (SA), researchers have had difficulty defining and measuring SA for practical ends such as pilot selection, training and cockpit design evaluation. To achieve the latter end a model of SA is proposed and a measurement technique is described. Specifically, SA appears to involve the development and maintenance of a highly dynamic mental representation of critical aspects of the flying environment. Using this system the pilot makes judicious decisions in a timely manner with little conscious effort. To render SA measurable, SA may be modeled as a computer system with elements and processes which serve to develop and maintain an extremely fast, efficient database. Computer systems are assessed via benchmark tests. To measure SA, the pilot flies a benchmark test which consists of a standardized mission in a medium fidelity simulator under progressively increasing assigned airspeeds. The pilot's SA is measured via techniques including objective metrics such as flying performance and responses to “unexpected” events, as well as subjective metrics such as ratings and knowledge elicitation. All must of necessity be indirect measures of SA, for the pilot's actions reflect not only SA but the adequacy of the data initially available as well as the quality of training, talent, and the vehicle itself. A statistically weighted combination of these measures is used in order to improve sensitivity and minimize their individual limitations.