Daily activities are characterized by an increasing interaction with smart machines that present a certain level of autonomy.\nHowever, the intelligence of such electronic devices is not always transparent for the end user. This study is aimed at assessing\nthe quality of the remote control of a mobile robot whether the artefact exhibits a human-like behavior or not. The bioinspired\nbehavior implemented in the robot is the well-described two-thirds power law. The performance of participants who teleoperate\nthe semiautonomous vehicle implementing the biological law is compared to a manual and nonbiological mode of control. The\nresults show that the time required to complete the path and the number of collisions with obstacles are significantly lower in\nthe biological condition than in the two other conditions. Also, the highest percentage of occurrences of curvilinear or smooth\ntrajectories are obtained when the steering is assisted by an integration of the power law in the robotâ??s way of working. This\nadvanced analysis of the performance based on the naturalness of the movement kinematics provides a refined evaluation of the\nquality of the Human-Machine Interaction (HMI). This finding is consistent with the hypothesis of a relationship between the\npower law and jerk minimization. In addition, the outcome of this study supports the theory of a CNS origin of the power law.\nThe discussion addresses the implications of the anthropocentric approach to enhance the HMI.
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