解释人在回路中的小型无人机系统群的自主决策
Explaining Autonomous Decisions in Swarms of Human-on-the-Loop Small Unmanned Aerial Systems
摘要：
人工智能的快速发展已经将焦点从传统的人类指导机器人转移到不需要明确人类控制的完全自主机器人。这些通常被称为人在回路（HotL）系统。HotL系统的透明性需要对自主行为进行清晰的解释，以便人类了解环境中发生的事情，并理解机器人以某种方式行为的原因。然而，在复杂的多机器人环境中，特别是那些机器人是自主的，移动的，需要间歇性干预，人类可能会努力保持态势感知。向人类提供关于自主行为的丰富解释往往会使他们承受过多的信息，并对他们对情况的理解产生负面影响。因此，解释多个机器人的自主行为或自主性会产生一种设计张力，需要仔细研究。本文探讨了用户界面（UI）设计权衡与提供及时和详细的解释的自主行为的小无人机（sUAS）或无人机群。我们分析了UI设计选择对人类意识的影响。我们对经验不足和专业的sUAS操作员进行了多项用户研究，以展示我们的设计解决方案，并为设计HotL多sUAS界面提供初步指导。
英文摘要：
Rapid advancements in Artificial Intelligence have shifted the focus from traditional human-directed robots to fully autonomous ones that do not require explicit human control. These are commonly referred to as Human-on-the-Loop (HotL) systems. Transparency of HotL systems necessitates clear explanations of autonomous behavior so that humans are aware of what is happening in the environment and can understand why robots behave in a certain way. However, in complex multi-robot environments, especially those in which the robots are autonomous, mobile, and require intermittent interventions, humans may struggle to maintain situational awareness. Presenting humans with rich explanations of autonomous behavior tends to overload them with too much information and negatively affect their understanding of the situation. Therefore, explaining the autonomous behavior or autonomy of multiple robots creates a design tension that demands careful investigation. This paper examines the User Interface (UI) design trade-offs associated with providing timely and detailed explanations of autonomous behavior for swarms of small Unmanned Aerial Systems (sUAS) or drones. We analyze the impact of UI design choices on human awareness of the situation. We conducted multiple user studies with both inexperienced and expert sUAS operators to present our design solution and provide initial guidelines for designing the HotL multi-sUAS interface.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
