Research over the last couple of decades has demonstrated a relationship between psychophysiological measures, specifically cardiac functions, and cognitive performance. Regulation of the cardiac system under parasympathetic control is commonly referred to as cardiac vagal tone and is associated with the regulation of cognitive and socioemotional states. The goal of the current study was to capture the dynamic relationship between cardiac vagal tone and performance in a vigilance task. We implemented a longitudinal growth curve modeling approach which unveiled a relationship between cardiac vagal tone and vigilance that was non-monotonic and dependent upon each person. The findings suggest that cardiac vagal tone may be a process-based physiological measure that further explains how the vigilance decrement manifests over time and differs across individuals. This contributes to our understanding of vigilance by modeling individual differences in cardiac vagal tone changes that occur over the course of the vigilance task.

Unmanned Aerial Systems (UASs) serve many roles in the broader defense space- with mission sets like reconnaissance, remote delivery, and supporting other aircraft operations. In the future of UASs, human factors professionals serve a broad role in advocating for the users in the design process. This discussion panel will involve individuals with different experiences working with UAS technologies and its introduction to the end user. The panel will consist of the following topics: capturing user feedback, control station design for supervisory control, selection of operators as this technology grows, and broad issues in public policy. The panelists with a variety of civilian and military experience will highlight their day-to-day role as well as what they see as upcoming topics worth researching in this domain.

Automation transparency is understudied in environments with varied automation reliability. We previously found uncertainty communication, a form of automation transparency, led to nuanced and unintentional performance outcomes in this type of environment. To better understand these outcomes, participants’ monitoring policies of automation were studied via a preliminary eye tracking analysis. In a simulated multi-UAV mission, 272 Naval Aviation trainees monitored three automated systems that were identical in function, but differed in reliability. Halfway through the experiment, uncertainty communication about the least reliable system was delivered as a chat message. Performance improvements coincided with a monitoring policy that had larger dwell times overall and one where the proportion of visual attention towards the automated system mentioned in the uncertainty communication increased upon its delivery. Overall, examining participant monitoring policies helped explain other performance outcomes and bolstered our previous conclusion: effective uncertainty communication requires maximum specificity.

This research examined three specific gaps in the workload transition literature: (1) the impact of workload transition rate, (2) the applicability of current theoretical explanations, and (3) the variability of performance overall and over time. Sixty Naval flight students multitasked in an unmanned aerial vehicle control testbed and workload transitioned at three rates: slow, medium, or fast. Response time and accuracy were analyzed via growth curve modeling. Slow transitions had the largest decline in performance over time. Medium transitions had some of the slowest, but most accurate and consistent performance. Fast transitions had some of the fastest, but least accurate performance. However, all performance trends significantly varied, suggesting multiple theoretical explanations may apply and performance may also depend on the individual. Design guidance on how to maximize performance goals with transition rate is provided, but future research needs to study the theoretical explanations and impact of individual differences further.

Automation reliance and functionality are ever increasing, especially in supervisory control environments like unmanned aerial vehicle (UAV) missions. Of particular relevance is understanding how automation transparency, i.e., explaining the capabilities and limitations of automation to the human in real-time, can improve human-automation performance across automated systems that vary in reliability. Two hundred seventy one Naval Aviation trainees completed a simulated multi-UAV supervisory control mission for 42 minutes with three automated systems that varied in reliability. Participants were never explicitly told the reliability varied, but halfway through the mission, they were alerted that the least reliable system may falter. Results indicated human-automation performance improved after the alert for this specific system, but not as a whole, as one system’s human-automation performance deteriorated. This work suggests uncertainty communication should not only include the specific, real-time capabilities of the automation, but also communicate unintentional consequences it may have on the whole environment.

Given there is no unifying theory or design guidance for workload transitions, this work investigated how visual attention allocation patterns could inform both topics, by understanding if scan-based eye tracking metrics could predict workload transition performance trends in a context-relevant domain. The eye movements of sixty Naval flight students were tracked as workload transitioned at a slow, medium, and fast pace in an unmanned aerial vehicle testbed. Four scan-based metrics were significant predictors across the different growth curve models of response time and accuracy. Stationary gaze entropy (a measure of how dispersed visual attention transitions are across tasks) was predictive across all three transition rates. The other three predictive scan-based metrics captured different aspects of visual attention, including its spread, directness, and duration. The findings specify several missing details in both theory and design guidance, which is unprecedented, and serves as a basis of future workload transition research.

A 32-year-old woman presented with a 1-year history of facial swelling and pruritus; histologic examination revealed periductal inflammatory infiltrate with eosinophils. What is your diagnosis?

Excessive gaming may be associated with sleep deprivation and self-harm. One active duty member committed self-injurious behavior to avoid work-related consequences. It was discovered that the patient participated in a video-gaming binge throughout an entire 72-hour weekend liberty. The patient experienced severe sleep deprivation to the point where he overslept and failed to report to work. He injured himself and fabricated a robbery and assault to avoid disciplinary consequences. Military health care providers should consider excessive gaming in patients presenting with sleep issues, self-harm, and disciplinary problems. As the prevalence of gaming increases, the military leadership should be aware that excessive gaming can degrade force readiness.

ABSTRACT Spatial ability has long been considered an important attribute when identifying military aviators. This paper examines the Direction Orientation Task (DOT), which is currently used by the US military to assess spatial ability in aviation applicants. Several limitations of the test, such as a limited number of trials and the availability of practice trials online, make it subject to potential ceiling effects. The paper presents historical data of all Naval Aviator applicants over a six-year time period and revealed that 22% of applicants answered 90% or more of the questions correctly. Furthermore, test performance has significantly increased in the years since the test was first administered and there is evidence that DOT is no longer contributing incremental validity. A follow-up empirical study looked at DOT performance and strategy in a group of military student aviators and student air traffic controllers. The results of the empirical investigation reveal that the use of an analytic strategy was associated with higher performance on the DOT, whereas the use of a spatial strategy was not associated with performance. Taken together, the improved performance data over time and the data on strategy use suggest the test’s ability to measure spatial ability may be diminishing, ultimately reducing its construct and incremental validity. This is problematic and should be addressed, since the DOT is the only measure of spatial ability used by the Navy to assess aviation applicants.

The CogScreen-Aeromedical Edition (CogScreen-AE) is a computerized neurocognitive assessment screening tool developed for the Federal Aviation Administration as a rapid, reliable means of measuring neurocognitive deficiency in civilian airline pilots. This has potential use and assessment of military aviators flying high performance aircraft under extreme conditions; however, no data exist on how the dynamic flight environment affects CogScreen-AE scores. The objectives of this study were to determine what changes in performance on CogScreen-AE scores are seen post-flight in Naval Aviators flying high performance aircraft and to determine the potential for use of CogScreen-AE as a screening tool to evaluate degree of impairment, recovery from neurological illness, and return to duty status of a military aviator. Repeated measures, within-subjects experimental design with three CogScreen-AE administrations-introduction session, preflight session, and postflight session. An experimental study group was exposed to dynamic flight between preflight and postflight sessions, while a control group flew a desktop computer flight simulator between sessions. Data were analyzed by mixed model ANOVA using Statistical Package for the Social Sciences to compare CogScreen-AE pre- and postflight performance on 5 composite scores of variables that account for 45% of the variance in predicting flight performance. Preflight versus postflight scores demonstrated no significant differences in performance attributable to flight in high performance aircraft. The CogScreen-AE performance is shown to be consistent preflight to post-flight. These data show that CogScreen-AE may be a reliable clinical instrument for assessing aviators' cognitive function with regard to return to flight duty decision-making. We anticipate future work in determining how CogScreen-AE can be utilized in the operational environment and documenting recovery from neurologic illness.