An Evaluation System of Mental Workload Based on the QN-MHP under Multi-task Condition

摘要：

　　In the traditional cockpit display-control system,pilots have to face more and more instruments and response to the complex information simultaneously.In order to study the change characteristics of the mental workload under such multi-task condition,take the virtual instruments for design objects to set up a series of tasks.With the increase of information quantity and frequency of m instruments,the task becomes more difficult.Then the QN-MHP is established to evaluate mental workload according to the information characteristic of above tasks and information processing manner of human.At the same time,carry out the corresponding EEG verification experiments with Neuro scan SCAN-40 equipment,and uses EEG energy ratio as validation standard.The EEG experiment result verifies that this model is feasible and efficient.This method can’t only avoid experimental dependence of traditional subjective and objective tests,or the instability of the mental workload process,but also refrain the subjective error in the NASA-TXL test,so that the evaluation results get more accurate.

关键词： Queuing Network-Model Human Processor (QN-MHP) Mental Workload EEG Virtual Instrument Evaluation

作者: Xiaoling Li Yuanzhe Dong Lei Yao Wei Wang Ying Jiang

作者单位: School of Mechanical Engineering Xian Jiaotong University,Xian, China Missile Institute Air Force Engineering University,Xian, China

会议类型: 国际会议

会议名称: 2013 International Symposium on Assembly and Manufacturing(2013装配与制造国际专题会议)

会议地点: 西安

会议语种:英文

页码: 240-244

在线出版日期: 2013-07-01（万方平台首次上网日期，不代表论文的发表时间）