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

中文翻译：

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受生物启发的远程控制机器人的实现和评估。

日常活动的特点是与呈现一定程度自主权的智能机之间的互动不断增加。但是，这种电子设备的智能对于最终用户而言并不总是透明的。这项研究旨在评估移动机器人的遥控器质量，无论该文物是否表现出类似人的行为。在机器人中实施的具有生物启发性的行为是三分之二的幂定律。将执行生物法的半自动车辆远程操作的参与者的性能与手动和非生物控制模式进行比较。结果表明，在生物学条件下，完成路径所需的时间和与障碍物的碰撞次数明显低于其他两个条件。也，当通过将动力定律整合到机器人的工作方式中来辅助转向时，可以获得最高的出现曲线或平滑轨迹的百分比。基于运动运动学的自然性对性能进行的高级分析可对人机交互（HMI）的质量进行精确评估。这一发现与幂律和最小跳动之间关系的假设相符。此外，这项研究的结果支持幂律法中枢神经系统起源的理论。讨论讨论了以人为本的方法对增强HMI的影响。基于运动运动学的自然性对性能进行的高级分析可对人机交互（HMI）的质量进行精确评估。这一发现与幂律和最小跳动之间关系的假设相符。此外，这项研究的结果支持幂律法中枢神经系统起源的理论。讨论讨论了以人为本的方法对增强HMI的影响。基于运动运动学的自然性对性能进行的高级分析可对人机交互（HMI）的质量进行精确评估。这一发现与幂律和最小跳动之间关系的假设相符。此外，这项研究的结果支持幂律法中枢神经系统起源的理论。讨论讨论了以人为本的方法对增强HMI的影响。