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通过使用数字技术观察基于太空的团队任务的弹性性能.

Xiaoyun Yin1, David A P Grimm2, Shiwen Zhou1

  • 1Arizona State University, AZ, USA.

Applied ergonomics
|December 1, 2024
PubMed
概括
此摘要是机器生成的。

这项研究模拟了太空任务,以评估使用数字技术的团队弹性. 调查结果显示,平均相互信息 (AMI) 比沟通频率更好地衡量团队的弹性和适应中断.

关键词:
分布式太空作业分布式太空作业动态系统是动态系统.人与机器的合作.弹性测量方法 弹性测量方法团队认知 团队认知团队协调 团队协调

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科学领域:

  • 太空探索和人类与计算机的互动.
  • 团队动态和复杂系统中的弹性.
  • 数字技术在太空任务中的应用.

背景情况:

  • 基于太空的团队合作涉及在巨大的距离上协调人类操作员和数字技术 (DTs).
  • 现有的通信网络和新兴的人工智能/机器人队友带来了协调挑战.
  • 需要在支持DT的太空任务中观察多个协调层的弹性方法.

研究的目的:

  • 模拟高风险的太空任务场景,以评估团队的弹性.
  • 测量放松时间,信息和平均相互信息 (AMI) 等结构,以评估团队对干扰的反应.
  • 在干扰之前,干扰期间和干扰后,分析跨系统层的动态弹性曲线.

主要方法:

  • 模拟了两个场景:名义通讯和故意干扰.
  • 八名研究小组成员参与了模拟.
  • 测量通信流,车辆控制和位置,利用层次动态来评估弹性曲线 (动作,适应,恢复).

主要成果:

  • 弹性团队表现出更短的放松时间和更有效的适应扰动.
  • 在性团队中观察到不同的动作,适应和恢复阶段.
  • 平均相互信息 (AMI) 在测量团队影响力和弹性方面比沟通频率更敏感.

结论:

  • 该研究成功地根据动态弹性指标区分了弹性团队.
  • 模拟环境促进了对适应的持续观察.
  • 操作主义提供了一种创新的方法来研究基于太空的团队合作中的弹性.