A real-time warning model for teamwork performance and system safety in nuclear power plants

In order to increase system safety and team performance, this study aimed to develop a real-time warning model (RTWM) by assessing team response time, error rates, and mental workload. Toward this goal, the group method of data handling (GMDH) algorithm was applied to physiological indices to predict team performance. Then fuzzy logic, fuzzy inference and linguistic variable sets representing the Team Performance and Safety Index were applied to construct the RTWM. To model the RTWM, experiments were conducted on computer-supported cooperative work (CSCW) in the personal computer transient analyzer (PCTRAN) simulator. The simulator and teamwork are designed to simulate the real tasks of the control room of the Fourth Nuclear Power Plant (FNPP) in Taiwan. In addition, important physiological parameters, the NASA-TLX questionnaire, team response time, and team error rates were collected from 39 participants. The results revealed that there was a significant positive correlation between the error rates of teamwork and the interval of event arrival time. This indicated that a pre-alarm device is necessary because vigilance decreased with time. Moreover, a predictive teamwork performance model applying the GMDH algorithm and the RTWM with a fuzzy inference system was developed in this study. The proposed model can efficiently predict teamwork performance to maintain appropriate mental workload as well as ensure system safety.

• Record URL:
  http://www.sciencedirect.com/science/article/B6VF9-4TB9P68-1/2/40a941c47342ef90eaa3abc5b5878a74
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/09257535
• Supplemental Notes:
  • Abstract reprinted with permission from Elsevier
• Authors:
  • Hwang, Sheue-Ling
  • Liang, Guo-Feng
  • Lin, Jhih-Tsong
  • Yau, Yi-Jan
  • Yenn, Tzu-Chung
  • Hsu, Chong-Cheng
  • Chuang, Chang-Fu
• Publication Date: 2009-3

Language

• English

Media Info

• Media Type: Print
• Features: Figures; Photos; References; Tables;
• Pagination: pp 425-435
• Serial:
  • Safety Science
  • Volume: 47
  • Issue Number: 3
  • Publisher: Elsevier
  • ISSN: 0925-7535
  • Serial URL: http://www.sciencedirect.com/science/journal/09257535

Subject/Index Terms

• TRT Terms: Algorithms; Hazards and emergency operations; Information processing; Mathematical models; Nuclear power plants; Reaction time; Real time information; Safety; Teams
• Uncontrolled Terms: Error rate; Group models; Mental workload
• Geographic Terms: Taiwan
• Subject Areas: Highways; Planning and Forecasting; Safety and Human Factors; Security and Emergencies;

Filing Info

• Accession Number: 01122719
• Record Type: Publication
• Files: TRIS
• Created Date: Feb 27 2009 7:49AM