DocumentCode :
3364777
Title :
Evaluation of mental workload in automation design for a main control room task
Author :
Jou, Yung-Tsan ; Yenn, Tzu-Chung ; Lin, Chiuhsiang Joe ; Yang, Chih-Wei ; Lin, Shiau-Feng
Author_Institution :
Dept. of Ind. & Syst. Eng., Chung Yuan Christian Univ., Chungli
fYear :
2009
fDate :
26-29 March 2009
Firstpage :
313
Lastpage :
317
Abstract :
This study discusses the operators´ operating performance and mental workload while performing the reactor shutdown task in an advanced nuclear power plant (NPP) in the cases of different levels of automation, manual and semi-automation. At the same time, the key factors that affected the operators´ mental workload and operating performance were identified as using the NASA task-load index (NASA-TLX). The experimental results showed that operators have the worse operating performance, highest mental workload, and more human error in the manual operation. This was mainly affected by the factor of physical requirement. In the semi-auto operation, the subjects have high level of frustration. Furthermore, the operating time of both manual and semi-auto operation have close correlation with mental demand. In summary, the design of automation of the human-system interface (HSI) in the advanced NPPs needs to be carefully considered and improved.
Keywords :
control engineering computing; fission reactor design; fission reactor operation; human computer interaction; nuclear engineering computing; nuclear power stations; NASA task-load index; automation design; human-system interface; main control room task; manual operation; mental workload; nuclear power plant; reactor shutdown task; Automatic control; Computational modeling; Control systems; Design automation; Humans; Inductors; Manuals; Power engineering and energy; Power generation; Systems engineering and theory;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Networking, Sensing and Control, 2009. ICNSC '09. International Conference on
Conference_Location :
Okayama
Print_ISBN :
978-1-4244-3491-6
Electronic_ISBN :
978-1-4244-3492-3
Type :
conf
DOI :
10.1109/ICNSC.2009.4919293
Filename :
4919293
Link To Document :
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