以日益复杂的航天操作任务为研究对象,建立基于复杂度分级的训练支持系统。基于软件复杂度和认知复杂度等理论提出了熵值法和加权 Halstead 两种复杂度度量方法;基于航天员训练经验总结并设计了常规、回馈和整合三种训练方法;建立了由绩效指标、生理指标和主观指标组成的训练效果评价模型;设计了28名志愿者参加的包括初训、复训、考核和技能衰退等四个阶段的航天操作实验对以上理论方法及模型进行了验证。最终开发了训练支持原型系统,实现了对操作单元的复杂度度量,操作错误数据收集处理,训练影响因素分析及训练设计等功能。该训练支持原型系统可用于辅助航天员操作训练设计与评价,提高航天员训练的理论层次,为后续空间站任务操作训练提供了技术储备,还可为高性能复杂武器装备系统的操作训练提供借鉴。
A training support system based on operation complexity was established concerning spaceflight tasks.Firstly,two complexity measurements named entropy method and weighted Halstead method were proposed based on the theory of software complexity and cognitive complexity respectively. Secondly,three training methods named routine method,feedback method and integrated method were designed based on astronaut training experiences.Then,a training evaluation model consisting of performance indices,physiological indices and subjective indices was built.Those theory and models were verified by an experiment of aerospace operations in which twenty-eight volunteers were trained through four stages named first training,retraining,test and skill recession stage.One training support system was established for training design and achieved the following functions:complexity measurement,operation errors analysis and training influencing factors analysis and training effect evaluation.This system would be applied to astronaut training design and evaluation to improve the theoretical level of astronauts training and make technical reserve for the follow-on tasks of China space station.In addition,this study could also offer some references for the operation training in modern weaponry.