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兵工学报 ›› 2017, Vol. 38 ›› Issue (6): 1215-1222.doi: 10.3969/j.issn.1000-1093.2017.06.022

• 研究简报 • 上一篇    下一篇

基于多资源理论的乘员信息处理作业认知行为建模研究

刘维平, 聂俊峰, 刘西侠   

  1. (装甲兵工程学院 机械工程系, 北京 100072)
  • 收稿日期:2016-11-08 修回日期:2016-11-08 上线日期:2017-12-15
  • 通讯作者: 刘维平(1961—),男,教授,博士生导师 E-mail:lwpyxlzh@sohu.com
  • 作者简介:聂俊峰(1989—),男,博士研究生。E-mail:njf0706@126.com

Cognitive Modeling for Crew's Information Processing Based on Multi-resource Theory

LIU Wei-ping, NIE Jun-feng, LIU Xi-xia   

  1. (Department of Mechanical Engineering, Academy of Armored Forces Engineering, Beijing 100072, China)
  • Received:2016-11-08 Revised:2016-11-08 Online:2017-12-15

摘要: 认知行为的有效性建模是装甲车辆乘员信息处理作业状态研究的关键技术,对提高人机系统的作战效能具有重要意义。针对乘员作业类型由体力操纵作业向信息处理作业转变的基本趋势,对信息处理作业操作元进行了系统分析;通过多资源理论提取了乘员信息处理作业认知行为要素,基于任务-网络建模技术构建了认知行为模型,提出了主客观结合的模型验证流程,并面向任务对模型进行了实例验证。结果表明,该模型能够清晰地描述乘员信息处理作业的认知过程,准确地预测乘员作业绩效,具有较好的预测精度和可重用性,是一种有效可行的信息处理作业认知行为模型。

关键词: 兵器科学与技术, 装甲车辆, 多资源理论, 信息处理, 认知行为建模, 绩效

Abstract: The effective cognitive model is a key technology to study the information processing work state of armored vehicle crew and enhances the combat effectiveness of man-machine system. In view of the basic trend of transforming the physical operating task to information processing task,the operatal units are systematically analyzed,the cognitive elements are extracted based on multi-resource theory(MRT), a cognitive model is established based on task-network,and the objective-subjective verification process for crew's cognitive model is proposed. The model is verified through example, with an aim to solve the problem of cognitive modeling. The results indicate that the proposed model could be used to describe the whole cognitive process of crew's information processing task, and predict the reaction times of operatal units accurately. It has high prediction accuracy and reusability preferable. It is an effective and feasible approach for crew's cognitive modeling. Key

Key words: ordnancescienceandtechnology, armoredvehicle, multi-resourcetheory, informationprocessing, cognitivemodeling, performance

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