使用数字数据分析工具捕捉协调模式的动态变化:阿波罗13号任务的探索性研究
Lida Z David1, Marcella A M G M Hoogeboom1, Maaike D Endedijk1
1Department of Learning, Data Analytics and Technology, Faculty of Behavioral, Management and Social Sciences, University of Twente, the Netherlands.
复杂的系统需要可适应的协调. 这项研究使用了THEME工具来分析阿波罗13号任务,揭示了动态协调转移对于危机期间的弹性性能至关重要.
科学领域:
- 人类因素和人体工程学
- 社会技术系统分析 系统分析
- 认知系统工程 认知系统工程
背景情况:
- 复杂的社会技术系统在不确定的环境中运行,需要不断调整协调策略.
- 人类因素和人体工程学的传统方法通常使用静态方法,无法捕捉实时协调调整.
- 了解一刻一刻的协调重组对于系统弹性至关重要.
研究的目的:
- 在动态运营环境中调查协调重组.
- 引入和应用THEME数字分析工具,用于协调模式的多层可视化.
- 分析阿波罗13号任务期间的协调转变,以了解危机期间的适应.
主要方法:
- 利用THEME,一个用于可视化和分析协调重组的数字工具.
- 研究了NASA阿波罗13号任务数据中的协调模式.
- 采用多层次的分析视角来探索时间敏感的协调现象.
主要成果:
- 在阿波罗13号危机期间,观察到协调模式的显著转变,从常规操作期间的稳定,长时间的"枢纽"到更短时间的模式.
- 强调了在相互协调和单向协调之间灵活切换的重要性.
- 确定了增强的角色分配作为适应性协调的关键因素.
结论:
- 像THEME这样的数字技术可以更深入地了解时间敏感的协调现象.
- 通过动态方法分析协调重组可以增强事件分析,并提高对复杂系统中弹性性能的理解.
- 这些发现为管理社会技术系统中不确定性的适应性策略提供了洞察力.
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