Evaluation of supervisory vs. peer-peer interaction with human-robot teams
Evaluation of supervisory vs. peer-peer interaction with human-robot teams
复制标题
评估人机团队的监督与同行互动
DOI：
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发表时间：
2004
期刊：
影响因子：
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通讯作者：
D. Dudenhoeffer
中科院分区：
文献类型：
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作者：
J. Marble;D. Bruemmer;D. Few;D. Dudenhoeffer
我们认为，当机器人能够作为真正的团队成员而不是工具与人类互动时，最有趣和最富有成效的人-机器人互动(HRI)可能是可能的。然而，共享控制的好处很容易被人类和机器人主动性相结合所固有的挑战所掩盖。对等交互的最重要要求是系统信任和预测系统行为的能力。人类必须能够理解机器人主动行动的原因和影响。只有通过仔细应用人的因素原则和可用性测试来确定用户如何与系统交互，才能满足这些要求。本文讨论了最近的人类参与者可用性测试，它使用复杂的真实世界环境中的搜索和救援场景来测试我们当前的实现。测试的目的是检查人类操作员如何在每个自主级别与机器人系统合作，以及应如何构建与机器人的互动以实现态势感知和任务完成。分析表明，我们的体系结构同样支持新手和专家的态势感知和目标检测，尽管有经验的用户更有可能对界面有更多的性能期望。结果还影响到参与者有效利用协作工作空间的能力，最重要的是，他们理解和接受机器人倡议的能力。
We submit that the most interesting and fruitful human-robot interaction (HRI) may be possible when the robot is able to interact with the human as a true team member, rather than a tool. However, the benefits of shared control can all too easily be overshadowed by challenges inherent to blending human and robot initiative. The most important requirements for peer-peer interaction are system trust and ability to predict system behavior. The human must be able to understand the reason for and effects of robot initiative. These requirements can only be met through careful application of human factors principles and usability testing to determine how users interact with the system. This paper discusses the recent human participant usability testing, which took our current implementation to task using a search and rescue scenario within a complex, real-world environment. The purpose of testing was to examine how human operators work with the robotic system at each level of autonomy, and how interaction with the robot should be structured to enable situation awareness and task completion. Analyses revealed that our architecture equally supported situation awareness and target detection by novices and experts, although experienced users were more likely to have more performance expectations of the interface. Results also had implications regarding the ability of participants to effectively utilize the collaborative workspace and, most importantly, their ability to understand and willingness to accept robot initiative.