Personality Test Scores that Distinguish U.S. Air Force Remotely Piloted Aircraft Drone Pilot Training Candidates

Chappelle, Wayne; Swearengen, Julie; Goodman, Tanya; Thompson, W. T.

doi:10.21236/ada600491

Cited by 8 publications

(10 citation statements)

References 15 publications

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“…Supervisor acceptability needs to be taken into account for the dynamic domains, where the envisioned adaptive system will be deployed, due to the long mission duration (Cain, 2007; Chappelle et al, 2018). The metrics that a workload assessment algorithm incorporates need to be collected using noninvasive devices suitable for dynamic domains.…”

Section: Overall Discussionmentioning

confidence: 99%

“…Human pilots commanding and monitoring remotely piloted unmanned aerial vehicles (i.e., the Predator or MQ-9 Reaper) in dynamic domains are subjected to a wide range of task demands, such as environmental constraints and mission complexity (Hooey, Kaber, Adams, Fong, & Gore, 2017). The human pilots have 12-hr mission shifts that constantly rotate, which greatly affects fatigue levels and may reduce performance (Button, 2009; Chappelle, Scheiman, & Sanford, 2018). These human–machine teams may be in a supervisory or teleoperated paradigm, where the human, system interface, and remotely piloted aircraft are team members or agents (Chen & Barnes, 2014; Scholtz, 2003).…”

Section: Introductionmentioning

confidence: 99%

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Multi-Dimensional Human Workload Assessment for Supervisory Human–Machine Teams

Heard

Adams

2019

Journal of Cognitive Engineering and Decision Making

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Humans commanding and monitoring robots’ actions are used in various high-stress environments, such as the Predator or MQ-9 Reaper remotely piloted unmanned aerial vehicles. The presence of stress and potential costly mistakes in these environments places considerable demands and workload on the human supervisors, which can reduce task performance. Performance may be augmented by implementing an adaptive workload human–machine teaming system that is capable of adjusting based on a human’s workload state. Such a teaming system requires a human workload assessment algorithm capable of estimating workload along multiple dimensions. A multi-dimensional algorithm that estimates workload in a supervisory environment is presented. The algorithm performs well in emulated real-world environments and generalizes across similar workload conditions and populations. This algorithm is a critical component for developing an adaptive human–robot teaming system that can adapt its interactions and intelligently (re-)allocate tasks in dynamic domains.

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Section: Overall Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Multi-Dimensional Human Workload Assessment for Supervisory Human–Machine Teams

Heard

Adams

2019

Journal of Cognitive Engineering and Decision Making

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“…The UAV pilot must successfully complete the special training required to be able to control the vehicle by working in an isolated environment to some extent and to ensure the safety of the vehicle. For small UAVs, experience may be less as the operator works in the visual field of view, but for larger UAVs, especially those used in the military or public services, it is important for pilots to have advanced experience for mission success and flight safety (Figure 9) (Chappelle, Swearengen, Goodman, Thompson, 2014). UAV pilots have to know the legislation regarding the use of UAVs, the issues to be applied for a successful operation, and the procedures to be applied for a safe flight during both training and post-training use.…”

Section: Figure 8 Uav Pilot and Mobil Flight Controllermentioning

confidence: 99%

Important Issues In Unmanned Aerial Vehicle User Education And Training

Ateş¹

2022

Journal of Aviation

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Unmanned aerial vehicles (UAVs) are aircraft that can be controlled remotely or autonomously without a pilot on the platform deck, with the help of Auto-Pilot and software-controlled flight plans. Unmanned aerial vehicles (UAVs) are a component of the Unmanned Aerial System (UAS). For this reason, those who program the mission pattern of these vehicles in advance, use them by remote command with or without sight, how to act in the face of possible developments during the mission, and who know the UAV technology and working principles well in this context, if the connection with the unmanned aerial vehicle (UAV) is lost, The training of the pilots, who enter the necessary information into the system as a command, in order to complete their mission and return safely to the starting point or to a different place, is very important. A professional and qualified UAV pilot/operator should possess five key characteristics, including professional dedication, sense of duty, self-control, enthusiasm for work, logicalness, and rationality. While preparing personality tests for pilot candidates, it should be based on measuring five main personality areas (neuroticism, extraversion, openness, agreeableness and conscientiousness). In the last 20 years in Turkey, the number and kinds of UAVs used especially in the field of security has been constantly increasing, and the number of national and domestic projects is increasing at a level that can compete with their counterparts in the world. Armed unmanned aerial vehicles (Armed UAV) are used extensively in domestic and international security operations, especially in internal security operations, contributing significantly to the success of the operation and reducing casualties and risks. For that reason, this research is focused on UAV pilots education and training as key personnel of UAV and try to bring front important issues of training period.

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“…Personality testing employed the NEO-PI-R, which measures candidates from five major personality domains: neuroticism, extraversion, openness, agreeableness and conscientiousness. The study evaluated 7682 participants who entered manned or unmanned pilot training between 2009 and 2013 [2]. The study revealed that RPV pilot training candidates are more likely to remain calm under pressure, are slower to anger, less prone to feelings of sadness and hopelessness, have higher selfesteem, and see themselves as more capable of handling difficult situations.…”

Section: Psychological Evaluationmentioning

confidence: 99%

“…FAA predicts that 30000 unmanned aircrafts will be flying in U.S. skies in 2030 [1]. Almost one out of every three aircraft used by the U.S. military is a drone [2]. The U.S. Air Force trains more drone pilots than it trains pilots of manned bombers and fighters combined.…”

Section: Introductionmentioning

confidence: 99%

Unmanned Aircraft System Pilot/Operator Qualification Requirements and Training Study

Qi¹,

Wang²,

Li³

2018

MATEC Web Conf.

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With the rapid development of Unmanned Aircraft System (UAS) technology, UAS has become indispensable in military and civilian field. Growth in number of UAS and activity has required soaring demand for UAS pilot/operator who has become a hot profession in aviation. In this paper, the UAS classification and unique characteristics of operation are stated firstly. Then, considering current requirements about UAS Pilot/Operator qualification issued by aviation authorities in U.S, UK and China, the general and special qualification requirements are analyzed, which includes professional quality, medical requirements, psychological evaluation, training requirements, operating experience and cooperation. Furthermore, based on differences between UAS and manned aircraft pilot training, the training contents and methods, especially human factor and physiological health, are discussed, which is meaningful and helpful to selection and training of UAS pilot/operator.

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Personality Test Scores that Distinguish U.S. Air Force Remotely Piloted Aircraft Drone Pilot Training Candidates

Cited by 8 publications

References 15 publications

Multi-Dimensional Human Workload Assessment for Supervisory Human–Machine Teams

Multi-Dimensional Human Workload Assessment for Supervisory Human–Machine Teams

Important Issues In Unmanned Aerial Vehicle User Education And Training

Unmanned Aircraft System Pilot/Operator Qualification Requirements and Training Study

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