Increasing Awareness of First Episode Psychosis

Presented at the 2022 Virtual Northwest Medical Research Symposiu

SHELL Revisited: Cognitive Loading and Effects of Digitized Flight Deck Automation

Acknowledging the SHELL human factors model, authors examine interfaces among components and assess problems created when the model is aligned with modern digitized flight deck systems. Complacency and overreliance on automated systems are evaluated, and cognitive load and potential for degraded situational awareness are examined. Authors present a SHELL overlay demonstrating where particular digitized functions and operations present challenges to operators and markedly influence effective SHELL interactions in highly complex flight deck systems. Human factors contributing to the Asiana Flight 214 accident are examined and correlates identified with the SHELL analysis. Implications for advanced crew resource management are presented, and human centered system training applications are proposed for addressing the workload challenges. Implications for working and prospective memory functions are examined, along with accompanying biases. Potential for adaptive automation technology concludes the SHELL overlay analysis with potential for reducing cognitive overload in the digitized flight deck environment

Cognitive Loading, Affect Regulation and Aerodynamic Considerations in Uninhabited Aerial Vehicle Systems Refueling Operations

Factors influencing aerodynamics involved in aerial refueling illustrate the potential for specialist operators to manage these operations for remotely piloted vehicles. The authors review aerodynamic characteristics of uninhabited aerial systems during refueling, drogue and boom design and associated flight dynamics, cognitive factors associated with control transfer and refueling, and affective components and their influence on decision making and operator performance. Attention is directed to cognitive loading and encoding challenges, with considerations for hippocampal mapping and hemispheric asymmetry. Implications for system state awareness are examined. Advantages for specially trained refueling pilot operators are discussed and recommendations given for areas of concentration

Beyond 2020 NextGen Compliance: Human Factors and Cognitive Loading Issues for Commercial and General Aviation Pilots

As previously identified by the authors, digitized flight decks have realigned SHELL model components and introduced cognitive overload con­cerns. Considering changes from implementing Next Generation air traffic management requirements in 2020, the authors assess digitized interfaces associated with cockpit displays of information integral to performance based navigation and similar operations. Focus is placed on Automatic Dependent Surveillance Broadcast, digitized communications, and expanded electronic flight bags. The ADSB (In) cockpit display will enable pilots to have flight visual awareness on aircraft, terrain, weather and hazards to flight through live satellite updates every second. Increased optical demands and cognitive loading are anticipated for general aviation and commercial pilots, beyond operational levels for those currently using advanced technologies. With nearly continuous cognitive processing and embedded information in the enhanced SHELL model by the authors, potential overload and concerns of situational awareness become likely candidates for human factors problems. Addressing these concerns, areas of emphasis for transition to NextGen 2020 operations are delineated, potential risks among increased cognitive disparities identified, and suggested foci recommended

Effects of Cognitive Loading on Pilots and Air Traffic Controller Performance: Implications for Neural Dynamics and Cognitive Flow

The digitized environment in aviation operations has seen marked growth and expansion as new technologies arrive and are implemented. The flight deck and air traffic control functions are two areas where growth is particularly robust. Previous work has identified the effects of compounded cognitive loading and SHELL interfaces in these work environments, and the potential consequences when relief or collaborative resource management is not employed effectively. This paper examines the relationship of cognitive loading in the context of cognitive flow to identify potential areas where neural metrics might aid in a better understanding of the dynamics to determine thresholds of overload. Application of the Triple- Network Model of neural regulation dynamics and Polyvagal Theory are explored for potential relationships to compromised situation awareness and working memory constraints. Conclusions indicate that when cognitive flow is disrupted, cognitive processing loads on working memory expand exponentially and rapidly reach a plateau that inhibits safe performance. Implications suggest a more focused effort in systems and training to address neural metrics and cognitive processing rates

Cognitive Processing Disruptions Affecting Flight Deck Performance: Implications for Cognitive Resilience

The flight deck of a commercial aircraft has become progressively digitized and operates in multiple modes with displays and indicators that require increasing levels of comprehension. Examining several aspects of cognitive processing is important to understand how threats to safety might occur and what actions might be taken to reduce severity or to eliminate the threat altogether. This paper presents the elements of cognition to consider, relevant characteristics of working memory and cognitive processing speed, types of disruptions and how they are addressed, results from overload or confusion, and the need for effective cognitive resilience to recover and repair the threat. Data from Aviation Safety Reporting System (ASRS) databases indicate 30% of cases could represent a distinct threat of cognitive overload. These are evaluated to identify sources and likelihood for surprise disruptions and to assess the potential of cognitive resilience. Adaptation of the CRMTEM model is considered for potential application in training and investigations

The Evolution of AI on the Commercial Flight Deck: Finding Balance Between Efficiency and Safety While Maintaining the Integrity of Operator Trust

As artificial intelligence (AI) seeks to improve modern society, the commercial aviation industry offers a significant opportunity. Although many parts of commercial aviation including maintenance, the ramp, and air traffic control show promise to integrate AI, the highly computerized digital flight deck (DFD) could be challenging. The researchers seek to understand what role AI could provide going forward by assessing AI evolution on the commercial flight deck over the past 50 years. A modified SHELL diagram is used to complete a Human Factors (HF) analysis of the early use for AI on the commercial flight deck through introduction of the Ground Proximity Warning System (GPWS), followed by the Enhanced GPWS (EGPWS) used currently, to demonstrate a form of Trustworthy AI (TAI). The recent Boeing 737 MAX 8 accidents are analyzed using an updated SHELL analysis that illustrates increased computer automation and information on the contemporary DFD. The 737 MAX 8 accidents and the role of the MCAS AI system are scrutinized to reveal the extent to which AI can fail and create distrust among end-users. Both analyses project what must be done to effectively implement and integrate TAI in a contemporary DFD design. The ergonomic evolution of AI on the commercial flight deck illustrates how it has helped achieve industry safety gains. Through gradual integration, the quest for pilot trust has been challenged when attempting a balance between efficiency and safety in commercial flight. Preliminary data from a national survey of company pilots is presented that indicate trust in AI is regarded positively in general, although less so when applied to personal involvement. Implications for DFD design incorporating more advanced AI are considered further within the realm of trust and reliability

Dr. and Mrs. Robert L. Holley Jr., Mrs. William Faulkner, Mrs. Gayle Beanland, Mrs. Sam Friedman, Mrs. Kate Baker and Bank of Oxford to Ross Barnett, Walter Sillers and Senator Homer S. Samuels, 27 September 1962

Senders urge Barnett to keep the university open, protect its accreditation, and preserve its good name.https://egrove.olemiss.edu/west_union_gov/1042/thumbnail.jp