Abstract
Development of operation skills to supervise a dynamic mechanical system with a large time constant is analyzed from the perspective of emerging regularities between "proximal," i.e., directly perceptible or manipulatable, variables and "distal" properties of the human-machine system. Our skill analysis aims to confirm increasing ability to accurately identify those situations requiring the human operator of adjusting the system behavior as his experience enlarges, as well as differentiated use of maneuvering options in accordance with adjustment purposes. This paper proposes an
evaluation method of those consistencies' formation processes through a couple of entropies with respect to the observed distributions in proximal and distal variables to specify the task situation.
