Fuzzy and crisp measurements of workload are compared for a tracking task that varied in bandwidth and order of control. Fuzzy measures are as powerful as crisp measures, and can under certain conditions give extra insights into workload causality. Both methods suggest that workload arises in a system in which effort, performance, difficulty, and task variables are linked in a closed loop. Marked individual differences were found. Future work on the fuzzy measurement of workload is justified.
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References
1.
Bainbridge, L. (1974). Problems in the assessment of mental load. Le Travail Humain, 37, 279-302.
2.
Dubois, D., and Prade, H. (1975). Definition and measurement of perceptual and mental workload in aircrews and operators of Air Force weapon systems: Status report.Brussels: NATO
3.
Zadeh, L. (1964). Fuzzy sets (Memo ERL. No. 64-44). Berkeley, CA: University of California.
