Title :
A fuzzy model for workload assessment in complex task situations
Author :
Ntuen, Celestine A. ; Park, Eui ; Strickland, Dara ; Watson, AIexandria R.
Author_Institution :
Dept. of Ind. Eng., North Carolina A&T State Univ., Greensboro, NC, USA
Abstract :
A method for combining subjective measures of workload and task characteristics is described. Data describing the human operator performance in compensatory tracking tasks at three levels of task complexities are used to develop a distribution function of fuzzy workload. The Cooper-Harper (CH) subjective judgment of task difficulty is administered to the subjects after each task completion. The final results show the relationships between fuzzy workload distribution as a function of task complexity
Keywords :
fuzzy logic; man-machine systems; Cooper-Harper subjective judgment; compensatory tracking tasks; complex task situations; fuzzy model; fuzzy workload; fuzzy workload distribution; human operator performance; subjective measures; task characteristics; task complexity; task difficulty; workload assessment; Acceleration; Anthropometry; Databases; Distribution functions; Fuzzy set theory; Fuzzy sets; Humans; Industrial engineering; Man machine systems; Measurement standards;
Conference_Titel :
Human Interaction with Complex Systems, 1996. HICS '96. Proceedings., Third Annual Symposium on
Conference_Location :
Dayton, OH
Print_ISBN :
0-8186-7493-8
DOI :
10.1109/HUICS.1996.549499
