Human skill elucidation based on gaze analysis for dynamic manipulation

To realize new kinds of human-machine system proposed as human adaptive mechatronics (HAM), experimental analyses to elucidate human's skill is reported in this paper. For skilled operation, we has been thinking that an adequate self-switching of reference targets on the manipulation is important. To prove this idea, we designed a special task by using virtual computer graphics of a hovercraft, measured gaze behavior of the operators, and analyzed their skill that seems to be related with the switching references. From the analyses of behavior of the skilled operator, it was confirmed that early switching of sub-controllers / reference signals plays a significant role in skill.

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