Human Factors Considerations in Autonomous Lethal Unmanned Aerial Systems

The United States military is committed to the development of complete autonomy in unmanned vehicles, including armed unmanned aerial systems (UAS). The design and deployment of autonomous lethal UAS raises ethical issues that have implications for human factors. System design, procedures, and training will be impacted by the advent of autonomous lethal UAS. This paper will define relevant vocabulary, review the literature on robot ethics as it applies to the military setting, discuss various perspectives in the research community, address levels of UAS autonomy, and discuss implications for operator training, responsibility, and human-machine interaction. Familiarity with these ethical issues and their repercussions will prepare human factors practitioners for the challenges created by this developing technology

The Effect of Generation on Retention of Women Engineers in Aerospace and Industry

The purpose of this dissertation was to determine the nature and extent of differences between generational cohorts regarding the effect of family factors on retention of women in engineering, with an emphasis on women in the aerospace industry. While 6% of the aerospace workforce is made up of aeronautical engineers, an additional 11.2% of the aerospace workforce is drawn from other engineering disciplines. Therefore, the analysis included all engineering sub-disciplines. In order to include women who had left the workforce, women in all industries were used as a proxy for women in aerospace. Exits to other fields were modeled separately from exits out of the workforce. The source of data was the National Survey of College Graduates. Women engineers were divided into the Baby Boom cohort (born 1945-1964), the Generation X cohort (born 1965-1980), and the Millennial cohort (born 1981-1997). A time-lag design was used to compare generational cohorts when they were the same age. The results of this study showed that generational cohort did not affect retention of women in engineering. However, generational cohort affected family formation decisions, with Millennial women marrying and having children later than their counterparts in the Generation X and Baby Boom cohorts. Generational cohort also affected the influence of motherhood on retention in the workforce, with Generation X and Millennial mothers more likely to stay in the workforce than their counterparts in the Baby Boom cohort. There was no significant difference between Generation X and Millennial women in the proportion of mothers who stayed in the workforce. Generational cohort influenced the reasons women left the workforce. Women in the Millennial cohort were more likely to cite not needing or wanting to work, while women in the Generation X cohort were more likely to cite family responsibilities. Among mothers in the Millennial cohort who were out of the workforce, the proportion who cited not needing or wanting to work as a reason for being out of the workforce was much larger than the proportion citing family responsibilities. Among mothers in the Generation X cohort who were out of the workforce, the relationship was reversed, with a larger proportion of women citing family factors than not needing or wanting to work. Generational cohort also affected the influence of motherhood on leaving engineering for another professional field, with Generation X and Millennial mothers more likely to stay in engineering than their counterparts in the Baby Boom cohort. Women in the Baby Boom cohort were more likely than women in the Generation X cohort to cite family factors as the most important reason they left engineering for another professional field. There was no significant difference between women in the Generation X cohort and women in the Millennial cohort regarding the most important reason they left engineering for another field. These results should help aerospace leaders understand the role of family factors in the workforce decisions of Millennial women engineers, and enhance the aerospace industry’s ability to recruit and retain the best and brightest for tomorrow’s aerospace workforce

Calculating the Cost of Pilot Turnover

Controlling costs is a critical ingredient in achieving profitability in the airline industry. Typically, labor costs are the first or second highest cost category for airlines. Some components of labor costs, such as pay and benefits, are easy to calculate. Turnover costs, however, are not easy to calculate, and are often underestimated. This paper builds a model for examining turnover costs for pilots in Part 135 carriers, and tests the model empirically in a Part 135 carrier. The model provides a framework to assist airlines in estimating turnover costs for pilots. The case study of a Part 135 cargo operator showed that the turnover rate for pilots was 46%, compared to the average across all jobs and all industries of 15%. Pilot turnover costs for the carrier were shown to be $17,405, compared to the average across all jobs and all industries of$13,996. Per capita turnover costs for the carrier represent 43% of the average pilot’s salary of $40,000. This information can be used by airlines to make cost benefit judgments about retention efforts

The Wright Brothers vs. the World: Understanding the Wright Patent Wars

The Wright brothers\u27 long and expensive legal defense of their patent was understandable, but damaging to both the brothers and the fledgling American aviation industry. Orville and Wilbur Wright believed that, as the inventors of the airplane, they were owed recognition and financial reward. The Wrights\u27 attempts to enforce this through legal means prevented them from making further advances in aeronautics, and frustrated the normal course of invention and improvement promoted by the patent system

Understanding Generation: Implications for Flight Training, Hiring, and Retention

Generation is a much discussed topic in the literature on workforce training and education. The simultaneous presence of numerous generations in the workforce has created tensions, challenges, and opportunities. In collegiate flight training, the Millennial generation is giving way to the post-Millennial generation, which will bring its own learning style and priorities to the cockpit. This presentation reviews the scientific literature on generational differences, identifying which differences are actually supported by data. Demographic and economic trends, including data from the National Science Foundation’s Scientists and Engineers Statistical Data System, will be combined with demonstrated generational differences in work-related attitudes and choices to discuss the implications for flight training. Future ideas for research will be explored

Comparison of Fixed-Wing Unmanned Aircraft Systems (UAS) for Agriculture Monitoring

Florida citrus growers need inexpensive methods to observe citrus plants to detect disease and stress consistently. Health vegetation indices, such as the Normalized Difference Vegetation Index (NDVI) collected from Unmanned Aircraft Systems (UAS), can be used to identify variation in plant health. Simple-to-operate UAS may enable growers to determine within-field variation more frequently than with inspections from scouts, providing more frequent knowledge about the crop condition. This research compared two low-cost fixed-wing UAS, a $5,000 Parrot Disco Pro Ag and a$16,690 senseFly eBee, each equipped with a Parrot Sequoia multispectral camera, to determine if there were differences in the NDVI data results and ease of operation. There were no statistical differences between NDVI reflectance values obtained using the Disco Pro Ag (M = 0.62, SD = 0.15) and the eBee (M = 0.60, SD = 0.15), t(45) = -1.45; p = 0.15. There was a significant positive correlation between the datasets (Pearson correlation = 0.963, p = 0.00). These results suggest that both the Disco Pro Ag and eBee were equally capable of producing the same data from the Parrot Sequoia multispectral camera. Differences in mobility and methods of waypoint planning between these two low-cost UAS may provide remote pilots with different styles of operation. As growers continue to adopt UAS technology to understand their fields better, the characteristics of each system will be important for quick setup time and ease of use

Standardization Roadmap for Unmanned Aircraft Systems, Version 1.0

This Standardization Roadmap for Unmanned Aircraft Systems, Version 1.0 (“roadmap”) represents the culmination of the UASSC’s work to identify existing standards and standards in development, assess gaps, and make recommendations for priority areas where there is a perceived need for additional standardization and/or pre-standardization R&D. The roadmap has examined 64 issue areas, identified a total of 60 gaps and corresponding recommendations across the topical areas of airworthiness; flight operations (both general concerns and application-specific ones including critical infrastructure inspections, commercial services, and public safety operations); and personnel training, qualifications, and certification. Of that total, 40 gaps/recommendations have been identified as high priority, 17 as medium priority, and 3 as low priority. A “gap” means no published standard or specification exists that covers the particular issue in question. In 36 cases, additional R&D is needed. The hope is that the roadmap will be broadly adopted by the standards community and that it will facilitate a more coherent and coordinated approach to the future development of standards for UAS. To that end, it is envisioned that the roadmap will be widely promoted and discussed over the course of the coming year, to assess progress on its implementation and to identify emerging issues that require further elaboration

Standardization Roadmap for Unmanned Aircraft Systems, Version 2.0

This Standardization Roadmap for Unmanned Aircraft Systems, Version 2.0 (“roadmap”) is an update to version 1.0 of this document published in December 2018. It identifies existing standards and standards in development, assesses gaps, and makes recommendations for priority areas where there is a perceived need for additional standardization and/or pre-standardization R&D. The roadmap has examined 78 issue areas, identified a total of 71 open gaps and corresponding recommendations across the topical areas of airworthiness; flight operations (both general concerns and application-specific ones including critical infrastructure inspections, commercial services, and public safety operations); and personnel training, qualifications, and certification. Of that total, 47 gaps/recommendations have been identified as high priority, 21 as medium priority, and 3 as low priority. A “gap” means no published standard or specification exists that covers the particular issue in question. In 53 cases, additional R&D is needed. As with the earlier version of this document, the hope is that the roadmap will be broadly adopted by the standards community and that it will facilitate a more coherent and coordinated approach to the future development of standards for UAS. To that end, it is envisioned that the roadmap will continue to be promoted in the coming year. It is also envisioned that a mechanism may be established to assess progress on its implementation

Airport Operations Delays and Possible Mitigation Through Electric Taxi Systems: A Qualitative Case Study

Airline daily departures, not including private aircraft, increased from 25,143 in 2000 to 36,722 in 2017. More passengers necessitate more aircraft and more flights. With more aircraft at terminals, ground delays, based on current airport design, will continue to increase. Systems that allow for reduced aircraft time on the ground will improve airline economics and airport operations, in addition, will reduce airline delays both for departure and arrival at the gate. The purpose of this qualitative research study was to explore the efficacy, from ramp controllers’ perspectives, of equipping airliners with an electric taxi system. Prototype electric taxi systems have shown a savings of up to 10 minutes for an aircraft to pushback and depart the ramp area. A case study methodology was employed to examine the various aspects of four representative airports regarding the potential implementation of the electric taxi system. Results showed that although ramp controllers saw economic and environmental benefits to an electric taxi system, most believed that these systems would not save time in and out of the ramp entry and exit areas due to limitations of airport design. Releasing control of more airport ground areas, to the ramp controllers, would be far more effective in reducing gate delays

Developing a Taxonomy for Success in Commercial Pilot Behaviors

Human error has been well studied in aviation. However, less is known about the ways in which human performance maintains and contributes to aviation safety. The lack of data on positive human performance prevents consideration of the full range of human behaviors when making safety and risk management decisions. The concept of resilient performance provides a framework to understand and classify positive human behaviors. Through interviews with commercial airline pilots, this study examined routine airline operations to evaluate the concept of resilient performance and to develop a taxonomy for success. The four enablers of resilient performance, anticipation, learning, responding, and monitoring, were found to be exhaustive but not mutually exclusive. The tenets of resilience theory apply in airline pilot behavior, but operationalizing a taxonomy will require more work