Language-Related Communications Challenges in General Aviation Operations and Pilot Training

English is the basis for aviation communications worldwide creating challenges for both native and non-native English speakers. An unfortunate outcome of language-related communications issues, whether indirectly or directly, has been aircraft mishaps. As aviation grows worldwide, the potential for miscommunication increases. Previous studies have concentrated on commercial aviation accident analysis. A similar focus on general aviation operations and pilot training incidents in the U.S. is needed. Voluntary incident reporting is a key component in Safety Management Systems in order to address problems before they become accidents. This project studied voluntary incident reports to analyze the number of language-related reports filed and whether common themes were present in the reports. Using a quantitative and qualitative approach, publicly available reports from the Aviation Safety Reporting System spanning the years 2008-2018 were explored for language-related communications issues with a specific focus on pilot training incidents. The search yielded 108 reports containing information about language-related communications problems, 38 of those reports related to pilot training. The dearth of reports suggests incidents are likely underreported. What is available indicates a need for better incident reporting and information sharing and a need for pilots and controllers to better understand roles and responsibilities for communicating using Aviation English. This study adds to the growing body of research indicating a need to educate native English speaking aviators on their responsibility to assist non-native English speakers and adopt better coping strategies to adapt to a changing language paradigm

A Trust in Air Traffic Controllers (T-ATC) Scale

Trust is a concept that cannot be easily measured. Further, trust is domain-specific. Trust is a foundational aspect of safe flight operations in the National Airspace System, and while there has been much attention to trust in teams and trust in automation, there appears to be a gap in knowledge of a pilot’s trust in air traffic controllers. The purpose of this study was to develop and validate the Trust in Air Traffic Controllers (T-ATC) scale, a summative scale to measure a pilot’s trust in air traffic controllers. This study followed a three-step methodology. In steps one and two, words were generated using an online Delphi process. In step three, the proposed instrument was set in a scenario-based test using over 200 pilots as participants. The data were subjected to Principal Components Analysis (PCA) which indicated a single component explaining 69.06% of the total variance. A Cronbach’s alpha of 0.90 showed the scale to have high internal consistency, and a Guttman split-half test result of 0.91 indicated the scale had high reliability. Safety within the National Airspace System requires a high degree of cooperation between system actors facilitated through trust in system components. In a system reliant upon trust, there is little knowledge of trust between pilots and controllers and therefore, no foundation for understanding and addressing trust dynamics. The T-ATC scale can now be used by aviation researchers to close the gap in knowledge regarding a pilot’s trust in controllers

Assessing Trust in Air Traffic Controllers: A Pilot Study

The safety of the National Airspace System is reliant upon the partnership between pilots and air traffic controllers facilitated through verbal communications. When the partnership based on trust is strong, the pilot is able to better manage the complexities associated with flying in congested airspace and reduce the possibility of certain errors. Studying barriers to communication is important in understanding how trust is built and maintained. Bias has been shown to be a barrier to trust in communications and aviation. Previous studies have researched trust in air traffic automation and trust based on confidence in the controller’s speech. However, a search of the literature revealed no discussions of trust based on the accent of the controller. Being able to detect accent bias is an important first step in being able to address issues and reduce the risk associated with communications problems. The purpose of the current project is to assess a pilot’s trust in controllers based on the controller’s accent as a first step in creating a model to predict trust in controllers. Participants will be presented audio recordings of various air traffic controllers and then rate their perceived trust in the controller. Results of the study will be presented. Keywords: trust, accent bias, air traffic contro

How Nationality, Weather, Wind, and Distance Affect Consumer Willingness to Fly in Autonomous Airplanes

Several studies have examined passengers’ trust in human-operated systems versus autonomous systems. Prior studies have also reported cultural differences among individuals from India and the United States. The purpose of this study was to investigate how nationality, weather, wind, and distance affect passengers’ willingness to fly in autonomous aircraft. Participants included 161 volunteers from the United States and 137 volunteers from India. In 12 different conditions, participants were asked to rate their willingness to fly in an autonomous aircraft, given information about the weather (sunny, raining, or snowing), the wind level (no wind versus strong wind), and the flight distance (short flight versus long flight). These conditions were presented randomly to each participant. Subsequently, participants were asked qualitative, open-ended questions. The results indicated that Indian participants were generally positive about autonomous commercial flights, except in the most extreme conditions. American participants were generally negative about autonomous commercial flights, except in perfect conditions. Participants were also asked their opinions on advantages of automation, disadvantages of automation, and specific weather concerns. Implications for the findings are discussed

Personal Safety Culture: A New Measure for General Aviation Pilots

Safety culture has been a subject of research for over three decades and is now widely accepted as a critical component of organizational safety programs both domestically and internationally. Through the development of a healthy safety culture, aviation organizations can improve safety processes, reduce mishaps, and mitigate risk more effectively. This is done through the holistic team efforts of an organization’s members and the organization’s leadership. How about aviators who are not part of an organization? Is it possible to identify a personal safety culture defined outside of the traditional organization? And, is it possible to create an instrument allowing pilots to conduct a self-assessment of their personal safety culture? The current research seeks to address these questions by developing such an instrument to measure personal safety culture in General Aviation pilots. The first version of the instrument was developed using resources from prior research studies and a literature review of over 160 publications. It was initially sent to experts in civilian aviation, academia and military sectors who conducted face validity assessments. Once revised, the instrument was tested using a sample drawn from a large southeastern university in the United States. All pilots were required to hold at least a private pilot certificate. A factor analysis conducted on the results of the preliminary study indicate factors that account for a significant amount of the variance in the model. These results are presented with recommendations for application of the self-assessment and thoughts on future research

The ENIGMA Stroke Recovery Working Group: Big data neuroimaging to study brain–behavior relationships after stroke

The goal of the Enhancing Neuroimaging Genetics through Meta‐Analysis (ENIGMA) Stroke Recovery working group is to understand brain and behavior relationships using well‐powered meta‐ and mega‐analytic approaches. ENIGMA Stroke Recovery has data from over 2,100 stroke patients collected across 39 research studies and 10 countries around the world, comprising the largest multisite retrospective stroke data collaboration to date. This article outlines the efforts taken by the ENIGMA Stroke Recovery working group to develop neuroinformatics protocols and methods to manage multisite stroke brain magnetic resonance imaging, behavioral and demographics data. Specifically, the processes for scalable data intake and preprocessing, multisite data harmonization, and large‐scale stroke lesion analysis are described, and challenges unique to this type of big data collaboration in stroke research are discussed. Finally, future directions and limitations, as well as recommendations for improved data harmonization through prospective data collection and data management, are provided

Defining the genotypic and phenotypic spectrum of X-linked MSL3-related disorder

PURPOSE: We sought to delineate the genotypic and phenotypic spectrum of female and male individuals with X-linked, MSL3-related disorder (Basilicata-Akhtar syndrome). METHODS: Twenty-five individuals (15 males, 10 females) with causative variants in MSL3 were ascertained through exome or genome sequencing at ten different sequencing centers. RESULTS: We identified multiple variant types in MSL3 (ten nonsense, six frameshift, four splice site, three missense, one in-frame-deletion, one multi-exon deletion), most proven to be de novo, and clustering in the terminal eight exons suggesting that truncating variants in the first five exons might be compensated by an alternative MSL3 transcript. Three-dimensional modeling of missense and splice variants indicated that these have a deleterious effect. The main clinical findings comprised developmental delay and intellectual disability ranging from mild to severe. Autism spectrum disorder, muscle tone abnormalities, and macrocephaly were common as well as hearing impairment and gastrointestinal problems. Hypoplasia of the cerebellar vermis emerged as a consistent magnetic resonance image (MRI) finding. Females and males were equally affected. Using facial analysis technology, a recognizable facial gestalt was determined. CONCLUSION: Our aggregated data illustrate the genotypic and phenotypic spectrum of X-linked, MSL3-related disorder (Basilicata-Akhtar syndrome). Our cohort improves the understanding of disease related morbidity and allows us to propose detailed surveillance guidelines for affected individuals

Essential physics of early galaxy formation

We present a theoretical model embedding the essential physics of early galaxy formation (z = 5-12) based on the single premise that any galaxy can form stars with a maximal limiting efficiency that provides enough energy to expel all the remaining gas, quenching further star formation. This simple idea is implemented into a merger-tree based semi-analytical model that utilises two mass and redshift-independent parameters to capture the key physics of supernova feedback in ejecting gas from low-mass halos, and tracks the resulting impact on the subsequent growth of more massive systems via halo mergers and gas accretion. Our model shows that: (i) the smallest halos (halo mass $M_h \leq 10^{10} M_\odot$) build up their gas mass by accretion from the intergalactic medium; (ii) the bulk of the gas powering star formation in larger halos ($M_h \geq 10^{11.5} M_\odot$) is brought in by merging progenitors; (iii) the faint-end UV luminosity function slope evolves according to $\alpha = -1.75 \log \,z -0.52$. In addition, (iv) the stellar mass-to-light ratio is well fit by the functional form $\log\, M_* = -0.38 M_{UV} -0.13\, z + 2.4$, which we use to build the evolving stellar mass function to compare to observations. We end with a census of the cosmic stellar mass density (SMD) across galaxies with UV magnitudes over the range $-23 \leq M_{UV} \leq -11$ spanning redshifts $5 < z < 12$: (v) while currently detected LBGs contain $\approx 50$% (10%) of the total SMD at $z=5$ (8), the JWST will detect up to 25% of the SMD at $z \simeq 9.5$.Comment: Accepted to MNRAS with minor change