AI augmented pilot

飞机设计的关键要素之一是与飞行员的接口。人机交互是通过驾驶舱中的仪表、飞行员和交通控制塔之间的通信、飞机加速度的物理感觉以及将飞行员的命令转换为飞机表面控制位移的飞行计算机来完成的。由于互动的数量而导致的认知超载可能导致误解和戏剧性的事故。飞机控制和管理环境必须设计为供各种各样的飞行员使用，具有不均匀的形态，技能以及情感和认知反应，并确保飞机的安全运行。为了进一步改善航空学中的人机界面并确保其安全可操作性，无论飞行员的情况和类型如何，本项目解决了飞行员建模问题，并能够基于各种代表性飞行员简档的认知负荷，使命，故障类型等因素模拟其行为。这样的飞行员模型将基于人工智能技术，使用飞行员做出的动作和交互，与正确模拟器获得的预期动作和飞行员工作量的评估进行比较。这将有助于详细说明可能的错误检测和建立新的评估规则的飞机操作。为了执行拟议的建模，我们组建了一个由具有飞机设计经验的飞机制造商组成的团队（Bombardier），一家专门从事飞机建模和模拟以及飞行员培训（CAE）的公司，一家通过分析评估个人认知负荷的专业公司，这要归功于应用于这些人的神经生理学数据的人工智能（BMU实验室），以及两名研究人员在建模用户交互、情商和大脑环境交互方面的专业知识。

One of the key elements in aircraft design is the interface with pilots. The human-machine interaction is done both by the instruments that are present in the cockpit, by the communication between the pilot and the traffic control tower, the physical feeling of the acceleration of the plane but also by the flight computers that transform the pilots' commands in displacements of the surfaces control of the aircraft. A cognitive overload due to the number of interactions can lead to misinterpretations and dramatic accidents. The aircraft control and management environment must be designed for use by a wide range of pilots, with uneven morphologies, skills and emotional and cognitive responses, and to ensure the safe operation of the plane. In order to further improve human-machine interfaces in aeronautics and ensure their safety operability, regardless of the situations and type of pilot, this project addresses the pilot modeling problem, and the ability to simulate its behavior based on factors such as cognitive load, mission, type of failure, etc. for a variety of representative pilot profiles. Such a pilot model will be based on Artificial Intelligence techniques using the actions and interactions made by the pilot, compared to the expected actions obtained throught simulators and the asessment of the pilot workload. It will help to elaborate the detection of possible mistakes and the set up of new evaluation rules of the aircraft operations.To carry out the proposed modeling, we have assembled a team composed of an aircraft manufacturer with experience in aircraft design (Bombardier), a company specializing in aircraft modeling and simulation and pilot training (CAE), a specialized company in the evaluation of the cognitive load of individuals by analysis, thanks to the artificial intelligence applied to the neurophysiological data of these individuals (BMU Labs), as well as two researchers recognized for their expertise in modeling the users interactions, emotional intelligence and brain-environments interactions.