Analysis of machine operation skills using hand discrete movement

For a future advanced machine, the function for supporting a human by considering his or her skill-level is required. In order to implement such intelligent functions in the machine, it is necessary for the system designers to know what skill of the machine operation is. In this paper, discrete movements of hand reaching actions were focused on, and relations between performances of the machine operation and the reaching action were investigated by referring Fittspsila law. A teleoperation experiment system was built using two radio-controlled construction machines, and the training process of operators was analyzed. The results showed that simple and similar types of reaching actions were repeated at the beginning of the trials and the actions were changing into various modes as the operators became skilled.