Abstract:
This paper introduces a computer-assisted teleoperation
system, where the control over the teleoperator is shared between a human
operator and computer assistance in order to improve the overall task
performance. Two units, an action recognition and an assistance unit are
introduced to provide context-specific assistance. The action recognition unit
can evaluate haptic data, handle high sampling rates, and deal with human
behavior changes caused by the actived haptic assistance. Repairing of a broken
hard drive is selected as scenario and three different task-specific assistance
functions are designed. The overall computer-assisted teleoperation system is
evaluated in two steps: first, the performance of the action recognition unit
is evaluated and then, the performance of the integrated computer-assisted
teleoperation system is compared with an unassisted system by means of a user
study with 15 participants. Overall action recognition rates of about 65% are
achieved. Multivariate paired comparisons show that the computer-assisted
teleoperation system significantly reduces the human effort and damage
possibility compared with a teleoperation system without assistance
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