机械设计2024,Vol.41Issue(7) :175-181.

作战筹划系统多模态人机交互技术应用进展

Progress in application of multimodal human-machine interaction technology in combat planning system

颜羽鹏 姜可 程健鹏 李冠呈 石鹏飞 刘颖
机械设计2024,Vol.41Issue(7) :175-181.

作战筹划系统多模态人机交互技术应用进展

Progress in application of multimodal human-machine interaction technology in combat planning system

颜羽鹏 1姜可 2程健鹏 3李冠呈 4石鹏飞 3刘颖3
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作者信息

  • 1. 北京理工大学设计与艺术学院,北京 100081;北京航天长峰科技工业集团有限公司,北京 100039
  • 2. 北京理工大学设计与艺术学院,北京 100081
  • 3. 北京航天长峰科技工业集团有限公司,北京 100039
  • 4. 中国长峰机电技术研究设计院,北京 100039
  • 折叠

摘要

为应对作战筹划系统人机交互技术中的诸多挑战,梳理和分析了多模态人机交互技术的研究现状;从作战筹划系统概念和人机交互技术需求出发,结合多模态交互技术特点,对系统的实现方式及关键技术进行分析和归纳.提出当前面临的主要挑战为作战筹划系统中多模态交互指令融合及人机混合决策不足等问题,且复杂多变的战场环境增加了指挥人员分析局势并做出准确决策的难度.对作战筹划系统多模态人机交互技术应用研究进展进行分析,为未来作战筹划系统和多模态人机交互技术的发展和研究提供参考.

Abstract

In order to deal with many challenges in the human-machine interaction technology of the combat planning sys-tem,the research status of the multi-modal human-machine interaction technology was sorted out and analyzed.The implementa-tion mode and key technologies were analyzed and summarized from the concept of combat planning system and the requirements of human-machine interaction technology,combined with the multi-modal interaction technology features.The main challenge was the issue of insufficient decision-making in multi-modal interaction command fusion and human-machine hybrid decision in combat planning system.The complex and changeable battlefield environment increased the difficulty for commanders to analyze the situa-tion and make accurate decisions.The analysis of multi-modal human-machine interaction technology application in combat plan-ning system could provide references for the development and research of future combat planning systems and multimodal human-machine interaction technologies.

关键词

作战筹划/多模态人机交互技术/交互指令融合/决策优化/认知增强

Key words

combat planning/multi-modal human-machine interaction technology/interactive instruction fusion/decision optimization/cognitive enhancement

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基金项目

国家重点研发计划(2023YFC3321705)

出版年

2024
机械设计
中国机械工程学会,天津市机械工程学会,天津市机电工业科技信息研究所

机械设计

CSTPCDCSCD北大核心
影响因子:0.638
ISSN:1001-2354
参考文献量22
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