Using different Levels of Autonomy (LoA), a human operator can vary the extent of control they have over a robot's actions. LoAs enable operators to mitigate a robot's performance degradation or limitations in the its autonomous capabilities. However, LoA regulation and other tasks may often overload an operator's cognitive abilities. Inspired by video game user interfaces, we study if adding a 'Robot Health Bar' to the robot control UI can reduce the cognitive demand and perceptual effort required for LoA regulation while promoting trust and transparency. This Health Bar uses the robot vitals and robot health framework to quantify and present runtime performance degradation in robots. Results from our pilot study indicate that when using a health bar, operators used to manual control more to minimise the risk of robot failure during high performance degradation. It also gave us insights and lessons to inform subsequent experiments on human-robot teaming.
翻译：使用不同级别的自主(LOA), 人类操作者可以使用不同的自主(LoA), 改变对机器人行动的控制范围。 LoA使操作者能够减轻机器人的性能退化或限制其自主能力。 但是, LoA 监管和其他任务往往会给操作者的认知能力造成超负荷。 在视频游戏用户界面的启发下, 我们研究如果在机器人控制 UI 中添加“ 机器人健康栏”, 就可以减少对 LoA 监管所需的认知需求和感知努力, 同时促进信任和透明度。 本健康栏使用机器人生命和机器人健康框架来量化和显示机器人的运行时性性性退化。 我们的试点研究结果表明, 当使用健康栏时, 操作者会用手动控制更多在高性能退化期间将机器人失灵的风险降低到最小。 它还给了我们一些洞察力和教训, 以告知随后的人类机器人团队实验。</s>
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