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The development of mental workload measurement in flexible manufacturing systems
Author(s) -
Lin DingYu,
Hwang SheueLing
Publication year - 1998
Publication title -
human factors and ergonomics in manufacturing and service industries
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.408
H-Index - 39
eISSN - 1520-6564
pISSN - 1090-8471
DOI - 10.1002/(sici)1520-6564(199824)8:1<41::aid-hfm3>3.0.co;2-e
Subject(s) - workload , task (project management) , reliability (semiconductor) , measure (data warehouse) , computer science , operator (biology) , test (biology) , reliability engineering , industrial engineering , engineering , data mining , operating system , systems engineering , paleontology , power (physics) , biochemistry , physics , chemistry , repressor , quantum mechanics , biology , transcription factor , gene
The purpose of this study is to determine an appropriate index to measure the mental workload in supervisory tasks. Nine elements relevant to the supervisory task were formed into a “Test Bank” after the task was analyzed. The reliability and validity of the “Test Bank” were examined. Then an experiment with simulated FMS was conducted to acquire the multiple regression equation of certain elements. The results reveal that “span,” “discriminate,” “predict,” and “transfer attention” are important elements. We can use the equation to predict the mental workload of a human operator in an automated production system. © 1998 John Wiley & Sons, Inc.