Visible classification of task-switching strategies in vehicle operation

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On a remote vehicle manipulation, both a task scheduling and an adequate selecting of operation commands are significant to execute sequential task successfully. Hence, for a future assistive intelligent mechatronics, automatic recognition of the operator's task-switching is required to support him / her timely. In the present research, an analysis procedure to make the task-switching strategy visible is presented by utilizing the Self-Organizing Map (SOM). For practical verification, a cooperation task in a virtual computer space was used, and the proposed analysis procedure was applied to the experimental data. As a result, obvious separation of each operation mode was demonstrated as the operator became skilled. And, it was confirmed that the proposed method was valid for a skill evaluation of remote vehicle manipulation.

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