Scenario Based Training for Rotorcraft
| 项目名称： | Scenario Based Training for Rotorcraft |
| 摘要： | This project will investigate methods, procedures, and technologies used to train rotorcraft pilots. Focus will be placed on scenario-based training (SBT) methods with further emphasis on training aimed at providing barriers to hazardous events and their potential consequences. Example of events include Visual Flight Rules (VFR) flight into Instrument Meteorological Conditions (IMC), loss of control in-flight, white out/brown out, autorotation, vortex ring state, and loss of tail-rotor effectiveness. Training of rotorcraft pilots to implement barriers to these as well as other events may be done using competing methods of training, such as maneuver-based or scenario-based. In particular, scenario-based training may feature an endless number of scenarios. Major goals of this project, therefore, include investigating how to define effective scenarios, how to adequately assess and compare the efficacy of one training method over another for a given learning objective, and how to assess various scenarios relative to one another. Additionally, the project will explore how adaptable a framework for comparing training methods is to the task of evaluating in-cockpit technologies aimed at increasing situational awareness (e.g. weather in the cockpit technology). Such information, while undoubtedly useful, may be a potential source of distraction from more important tasks in some circumstances. In summary, this project will seek to improve rotorcraft safety by providing a framework for evaluating methods of training and technologies for various case studies focused on missions and hazards found in rotorcraft operations such as Helicopter Emergency Medical Services (HEMS). |
| 状态： | Active |
| 资金： | $384,327 |
| 资助组织： | Civil Aerospace Medical Institute-Federal Aviation Administration |
| 项目负责人： | Avers, Katrina Bedell |
| 执行机构： | Florida Institute of Technology, Melbourne |
| 主要研究人员： | Cusick, Stephen |
| 开始时间： | 20170816 |
| 预计完成日期： | 20200630 |
| 实际结束时间： | 0 |
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