This paper investigates how trust, shared understanding between a human operator and a robot, and the Locus of Control (LoC) personality trait, evolve and affect Human-Robot Interaction (HRI) in mixed-initiative robotic systems. As such systems become more advanced and able to instigate actions alongside human operators, there is a shift from robots being perceived as a tool to being a team-mate. Hence, the team-oriented human factors investigated in this paper (i.e. trust, shared understanding, and LoC) can play a crucial role in efficient HRI. Here, we present the results from an experiment inspired by a disaster response scenario in which operators remotely controlled a mobile robot in navigation tasks, with either human-initiative or mixed-initiative control, switching dynamically between two different levels of autonomy: teleoperation and autonomous navigation. Evidence suggests that operators trusted and developed an understanding of the robotic systems, especially in mixed-initiative control, where trust and understanding increased over time, as operators became more familiar with the system and more capable of performing the task. Lastly, evidence and insights are presented on how LoC affects HRI.
翻译:本文探讨了人类操作者和机器人之间的信任、共同理解以及控制逻辑(LOC)的个性特征如何演化和影响混合机器人系统中的人类机器人互动(HRI),随着这些系统变得更加先进,能够与人类操作者一道激励行动,机器人从被视为一个工具转变为一个团队。因此,本文件所调查的面向团队的人类因素(即信任、共同谅解和LOC)可以在高效的HRI中发挥关键作用。在这里,我们介绍了由灾害应对情景所启发的实验结果。在灾害应对情景中,操作者在导航任务中远程控制移动机器人,使用人类举措或混合举措控制,在两种不同的自主级别(远程操作和自主导航)之间进行动态转换。有证据表明,操作者信任并发展了对机器人系统的了解,特别是在混合创新控制方面,随着时间的发生信任和理解增加,随着操作者更加熟悉该系统并更有能力执行这项任务。最后,对LOC如何影响互联网提出了证据和洞察力。