基于脑功能网络分析的无人机系统人因失误认知机理研究

项目名称： 基于脑功能网络分析的无人机系统人因失误认知机理研究

项目编号： No.31200777

项目类型： 青年科学基金项目

立项/批准年度： 2013

项目学科： 工程心理学

项目作者： 吴一波

作者单位： 中国人民解放军武汉军械士官学校

项目金额： 23万元

中文摘要： 在无人机系统中，人具有核心作用，人机有效交互是系统成功执行任务的必要保证。研究表明，系统失效的一个主要原因就是人因失误。人因失误的机理分析及控制对策研究对确保无人机系统的安全及效率至关重要。目前，第二代人因可靠性分析方法以人的认知模型为核心要素。但由于人的认知过程非常复杂，与人因失误直接相关的数据获取困难，现有认知模型的有效性和可信度尚待研究；此外，人因可靠性和认知学研究的交流融合不够，认知领域内关于人类差错控制、增强学习等方向的最新研究成果难以被抽象引入到人因可靠性的研究中。本项目以无人机模拟训练系统为平台，同时观测无人机操作员模拟训练表现和磁共振功能成像数据，从行为学、脑功能这两个角度观察人因失误，构建人因失误的脑功能网络，探索其时空特性，加深对差错控制、增强学习有关的模块和环路的理解，全面探究无人机系统人因失误的认知机理，为人因失误的评估提供新的思路和依据。

中文关键词： 无人机；人因失误；可靠性；脑功能网络；认知

英文摘要： Human is the kernel of the unmanned aircraft system (UAS). The efficient interaction between human and UAS is essential to successfully fulfill the misssion. Researches indicated that, one main cause of the system failure was human error. The analysis of human error mechanism and control strategy are crucial to assure the safety and efficiency of UAS. Currently the second generation of human reliability analysis methods are focusing on the human cognition model. But the human cognitive process is complicated, the data directly relating with human error is difficult to acquire, and the efficacy and reliablity of current cognition model needs further research. Besides, the interaction and introjection of researchs on huamn reliability and cognitive science is not enough, and hence the prior research results on human error control and reinforcement learning in the cognition science can't be abstracted and applied in the reasech of human reliability. In this project, based on the same UAS simulation training system, the training performance and functional magnetic resonance imaging (fMRI) of the UAS manipulators are to be recorded to observe the human error throught the behavioural and cerebral functional viewpoints. The brain functional network of huamn error is to be constructed, and its spatial and temporal chara

英文关键词： Unmanned aircraft system；Human error；Reliability；Cerebral functional network；Cognition