人間オペレータの技量の個人差と習熟度のカオス・エントロピ解析とファジィ制御による獲得(<特集>D&D2009)

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This paper tries to identify the individual difference and the proficiency of human operator's behavior from time series data by using fuzzy inference and acquire individual skill of human operator. The operators in the experiemt are skilled to some extent in stabilizing the inverted pendulum by training, and the data of ten trials per person were successively taken for an analysis, where the waveforms of pendulum angle and cart displacement were recorded. The maximum Lyapunov exponents were estimated from experimental time series data against embedding dimensions. The identified fuzzy controller from time series data of each trial of each operator showed well the human-generated decision-making characteristics with the chaos and the large amount of disorder. The estimated degree of freedom of motion increases and the estimated amount of disorder decreases with an increase of proficiency both in fuzzy control simulation and experiment. It also showed that the agreement between the fuzzy control simulation and the experiment for the degree of freedom of motion and the entropy ratio is particularly good when the simulated wave form and the measured wave form resemble in appearance.
2010-05-25