Investigation on the Prediction of Operator Mental Workload in the Lungmen Nuclear Power Plant

• Main Authors: Tsu-Tien Lin, 林孜恬
• Other Authors: Sheau-Farn Liang
• Format: Others
• Language: zh-TW
• Published: 2011
• Online Access: http://ndltd.ncl.edu.tw/handle/htr4yc

碩士 === 國立臺北科技大學 === 工業工程與管理研究所 === 99 === Different from the traditional nuclear power plants (NPPs) , Lungman NPP applys digital control systems. Although digital systems are easily operated, they convey a lot of information which consequently increases operators'' mental workload. Therefore, it is an important issue for Lungman NPP to measure operators’ mental workload correctly. Most of current methods for mental workload measurement are measured during performing tasks. The study proposes a model to predict operators’ mental resource demands and possible conflicts on performing tasks so that operators'' mental workload　could be predicted in advance. The model was validated with the data of 20 operators who answered the NASA-TLX questionnaire. Results showed that the correlation coefficient was 0.971 between the prediction and the data. The coefficient of determination was 92.5% for the regression model. This predictive model will be able to predict operators'' mental workload when they perform the abnormal operation procedures and to provide suggestions for improving these procedures.