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Acta Aeronautica et Astronautica Sinica ›› 2025, Vol. 46 ›› Issue (11): 531213.doi: 10.7527/S1000-6893.2024.31213

• Reviews • Previous Articles    

Research progress on key technologies for human factors design of unmanned aircraft systems

Chuanyan FENG1,2, Shuang LIU2, Xiaoru WANYAN2, Menglong DING1, Daochun LI1,2, Yaoming ZHOU1,2()   

  1. 1.Green Civil Aircraft Intelligent Design Research Centre,Tianmushan Laboratory,Hangzhou 311115,China
    2.School of Aeronautic Science and Engineering,Beihang University,Beijing 100191,China
  • Received:2024-09-18 Revised:2024-10-25 Accepted:2024-12-12 Online:2024-12-24 Published:2024-12-23
  • Contact: Yaoming ZHOU E-mail:zhouyaoming@buaa.edu.cn
  • Supported by:
    National Natural Science Foundation of China(52402507);Funds for Research Project of Tianmu Mountain Laboratory(TK-2024-D-012);Key R&D Program of Zhejiang Province(2024SSYS0087);Aeronautical Science Foundation of China(201813300002)

Abstract:

With the significant reduction in mechanical failures and the rapid development of Artificial Intelligence (AI) technology, Human Factors (HF) issues in Unmanned Aircraft Systems (UAS) are becoming increasingly serious. To enhance the overall performance of specialized UAS in the low-altitude economy, it is essential to address the key HF design technologies. This paper, based on literature research and industrial practical experience, identifies three key scientific problems: the formulation of systematic UAS HF standards, efficient and trustworthy human-AI collaboration, and life-cycle HF design. First, the unique HF challenges of UAS are outlined. Next, current status of four categories of HF issues is discussed: automation design, display-control design, staffing and collaboration, and selection and training. Finally, three key HF design technologies and their progress, HF standard architecture design for UAS, efficient human-AI teaming design, and human-system integration design, are highlighted.

Key words: unmanned aircraft system, remote piloted aircraft system, human factors design, ground control station design, human-AI teaming, human-system integration

CLC Number: