By providing a predictive display to human operator, man-machine systems are known to improve their control characteristics. In this paper a few, slightly new ways of organizing such “predictive man-machine systems” are proposed. Some experiments were conducted on such systems and results are analyzed for quantitative evaluation of the predictive displays. As expected, such displays are found to be quite effective for complex controlled elements. They also help make learning process shorter. It is pointed out that the predictive span should be an appropriate one, matching the plant to be controlled.

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Mechanical shock has become to be one of the important factors with human environment but little is known about the response characteristics of human body to mechanical shock. The present study was performed to investigate the physical characteristics of response to impact with human body. An instrument which was composed of a striker to produce applied shock and a meter to measure the acceleration was constructed for the present study.
Operations revealed that the impact acceleration of the fore head was the largest among those measured and that an impact with small impact velocity was suitable to distinguish parts with different characteristics. The impact duration with gluteal region was the longest, which was 0.09 [sec] in case of the impact velocity of 0.077 [m/sec]. Mechanical impedance with the regions which was mostly composed of soft tissues was below 5 [kg·sm^-1] and that with the regions to which bones related was over 5 [kg·sm^-1]. Dynamic stiffness with the gluteal region was 0.5×10³ [kg/m] and that with the fore head was 27.5×10³ [kg/m] and these values reflect well the state of springs.

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Measurement of quality characteristics with sensory organs instead of measuring instrument is called sensory inspection. Sensory inspection has many problems. One of those problems is indistinctness of sensory inspection process. The present paper, therefore, deals with the analysis of sensory ability of inspector for such problem solving. The results were as follow; 1) It could be expressed the time characteristics by the fanction of signals detected and/or inspection time characteristics “d't” 2) The relation between inspection time and detectable efficiency is not monotonous but there exists an obvious quantitative relation or maximum efficiency time range.

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