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首页> 外文会议>International conference on human-computer interaction;International conference on engineering psychology and cognitive ergonomics >The Impact of Type and Level of Automation on Situation Awareness and Performance in Human-Robot Interaction
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The Impact of Type and Level of Automation on Situation Awareness and Performance in Human-Robot Interaction

机译：自动化类型和级别对人机交互中态势感知和性能的影响

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摘要

In highly autonomous robotic systems, human operators are able to attend to their own, separate tasks, rather than directly operating the robot to accomplish their immediate task(s). At the same time, as operators attend to their own, separate tasks that do not directly involve the robotic system, they can end up lacking situation awareness (SA) when called on to recover from automation failure or from an unexpected event. In this paper, we describe the mechanisms of this problem, known as the out-of-the-loop performance problem, and describe why the problem may still exist in future robotic systems. Existing solutions to the problem, which focus on the level of automation, are reviewed. We describe our current empirical work, which aims to expand upon taxonomies of levels of automation to better understand how engineers of robotic systems may mitigate the problem.
机译：在高度自治的机器人系统中，人类操作员能够执行自己的单独任务，而不是直接操作机器人来完成其直接任务。同时，当操作员参加自己的，不直接涉及机器人系统的单独任务时，当他们被要求从自动化故障或意外事件中恢复时，他们最终可能会缺乏态势感知（SA）。在本文中，我们描述了此问题的机制，称为“环外性能问题”，并描述了为什么该问题可能在未来的机器人系统中仍然存在。审查了针对该问题的现有解决方案，这些解决方案侧重于自动化级别。我们描述了当前的实证工作，其目的是扩展自动化级别的分类法，以更好地了解机器人系统的工程师如何缓解该问题。

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