混合粒度的人-群交互
Mixed-Granularity Human-Swarm Interaction
摘要：
我们提出了一个增强现实人群界面，结合了两种形式的互动：面向环境和面向机器人。面向环境的模态允许用户修改环境（虚拟或物理），以指示机器人群要达到的目标。面向机器人的模态可以选择单个机器人，将其重新分配给其他任务，以提高性能或纠正故障。以前的研究得出结论，面向环境的交互可能证明更难以掌握未经培训的用户。在本文中，我们报告的用户研究表明，至少在集体运输，面向环境的互动是更有效的比纯粹的机器人为导向的互动，这两个相结合，实现显着的功效。
英文摘要：
We present an augmented reality human-swarm interface that combines two modalities of interaction: environment-oriented and robot-oriented. The environment-oriented modality allows the user to modify the environment (either virtual or physical) to indicate a goal to attain for the robot swarm. The robot-oriented modality makes it possible to select individual robots to reassign them to other tasks to increase performance or remedy failures. Previous research has concluded that environment-oriented interaction might prove more difficult to grasp for untrained users. In this paper, we report a user study which indicates that, at least in collective transport, environment-oriented interaction is more effective than purely robot-oriented interaction, and that the two combined achieve remarkable efficacy.
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。
