@inproceedings{2a3c09a3a69b49c287cbac9ea72858b7,
title = "Human-Machine Function Allocation Strategy for Formation Decision-Making Tasks",
abstract = "With the development of technology, the application of manned/unmanned formation is becoming more widespread. When executing decision-making tasks, the officer has excessive work-load and slow speed. Therefore, there is an urgent need to develop human-machine function allocation strategies to improve decision-making efficiency. This study was based on the OODA loop theory and adopted the level of automation division method to set up multi-level schemes for four stages. Different schemes were combined to ensure that officer was in the loop. The strategies for completing decision-making tasks were generated, and a method for optimizing the human-machine function allocation strategy was established to achieve efficient decision-making in manned/unmanned formations.",
keywords = "Human-machine function allocation, LOA, OODA, decision-making",
author = "Xiyue Wang and Ning Li and Liping Pang and Deqiang Fu and Mengmeng Gao",
note = "Publisher Copyright: {\textcopyright} Beijing KeCui Man-Machine-Environment System Engineering Technology Research Academy 2024.; 24th Conference on Man-Machine-Environment System Engineering, MMESE 2024 ; Conference date: 18-10-2024 Through 20-10-2024",
year = "2024",
doi = "10.1007/978-981-97-7139-4\_84",
language = "英语",
isbn = "9789819771387",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "621--626",
editor = "Shengzhao Long and Dhillon, \{Balbir S.\} and Long Ye",
booktitle = "Man-Machine-Environment System Engineering - Proceedings of the 24th Conference on MMESE",
address = "德国",
}