As the design of aircraft cockpit grows increasingly intricate and intelligent, the imperative for validating human factors requirements becomes paramount. This paper innovatively introduces a human factors requirement development and validation and verification framework specifically for the design of human–machine interface in the aircraft cockpit. The proposed framework employs a model-driven approach to human factors requirement definition, ensuring that human needs and limitations are comprehensively considered during the design phase, thereby enhancing the user-centeredness of interaction design. Additionally, the introduction of a Human Factors (HF) objective-based validation and verification process ensures that the developed human–machine interaction design meets the established HF standards and requirements while also providing robust support for the evaluation and improvement of human–machine interaction in different cockpits, ultimately leading to a more efficient, safe, and ergonomic cockpit design.

错误:搜索内容不能为空,请输入英文关键词
错误:关键词超出字数限制,请精简
高级检索

An Objective-Based Approach for Verifying Human Factors Requirements in Aircraft Cockpit Design

  • Qian Shen,
  • Yiyuan Zheng

摘要

As the design of aircraft cockpit grows increasingly intricate and intelligent, the imperative for validating human factors requirements becomes paramount. This paper innovatively introduces a human factors requirement development and validation and verification framework specifically for the design of human–machine interface in the aircraft cockpit. The proposed framework employs a model-driven approach to human factors requirement definition, ensuring that human needs and limitations are comprehensively considered during the design phase, thereby enhancing the user-centeredness of interaction design. Additionally, the introduction of a Human Factors (HF) objective-based validation and verification process ensures that the developed human–machine interaction design meets the established HF standards and requirements while also providing robust support for the evaluation and improvement of human–machine interaction in different cockpits, ultimately leading to a more efficient, safe, and ergonomic cockpit design.