We are part of sociotechnical systems consisting of individual persons, organizations and technology. Therefore a methodology of synthesis based on balancing technological, organizational and human factors should be constructed as a discipline. Hence we have proposed a design method that takes human satisfaction into consideration. This paper describes the development of a satisfaction measurement system using a neural network which estimates human satisfaction based on electroencephalogram (EEG) measurement. The results of measurements demonstrated that the system was successfully evaluate satisfaction level. It is expected that this system can be applied in many fields such as analysis, design, and evaluation of products or systems, task and job design, human-oriented bio-feedback and adaptive human machine interface.