Investigation of Input Noise Approximations on Human Response Modeling.
AIR FORCE INST OF TECH WRIGHT-PATTERSON AFB OHIO SCHOOL OF ENGINEERING
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A study was conducted to investigate the validity of approximating random Gaussian-distributed inputs used in human response modeling by sums of discrete sinewaves. An ideal rectangular power density spectrum was simulated using both filtered Gaussian-white-noise and sums of discrete sinewaves. These two input spectra were used in the same compensatory tracking task, and the resultant normalized tracking error and qualitative operator observations were used to show that there was no apparent differences in the effects of the two types of input spectra. In addition, parameter tracking was used to collect frequency response data on the discrete rectangular input spectrum. Parameter tracking data obtained with a first-order-filter continuous input was used to approximate results obtained with other input spectra of both the continuous and discrete type, which contained power in the crossover region. Author
- Human Factors Engineering and Man Machine Systems