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arXiv 2602.07598cs.RO
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遇见我的助手!:单一机器人不同身份与控制对人机交互的影响

"Meet My Sidekick!": Effects of Separate Identities and Control of a Single Robot in HRI

Northeastern University(东北大学);Amazon Robotics(亚马逊机器人)

Drake Moore, Arushi Aggarwal, Emily Taylor, Sarah Zhang, Taskin Padir, Xiang Zhi Tan

AI总结:

本文研究了不同具身配置对机器人与人类交互的影响,通过实验发现机器人身份分割可增强人类对机器人故障的感知与信任。

摘要:

机器人能力与身份的展示直接影响人类协作者的感知和对机器人的隐含信任。与人类不同,一个物理机器人可以同时呈现不同的身份,并让它们分别控制机器人不同的部分。本文提出了一项新的研究,探讨用户如何感知一个机器人,其中不同的机器人控制领域(头部和机械臂)被作为独立机器人呈现。我们进行了一项混合设计研究,参与者体验了三种不同的呈现方式:一个机器人、两个具有完全共享控制的代理(共具身)或两个具有跨机器人控制领域的控制分割的代理(分割具身)。参与者经历了三个不同的任务——一个日常数据录入任务,其中机器人提供激励支持;一个个体排序任务,其中机器人出现孤立故障;以及一个协作安排任务,其中机器人导致一个直接影响人类参与者的故障。参与者认为机器人分别居住在不同的控制领域,并能够将机器人故障与不同的身份联系起来。这项工作表明,未来的机器人可以利用不同的具身配置来获得在单个身体内拥有多个机器人所带来的好处。

英文摘要:

The presentation of a robot's capability and identity directly influences a human collaborator's perception and implicit trust in the robot. Unlike humans, a physical robot can simultaneously present different identities and have them reside and control different parts of the robot. This paper presents a novel study that investigates how users perceive a robot where different robot control domains (head and gripper) are presented as independent robots. We conducted a mixed design study where participants experienced one of three presentations: a single robot, two agents with shared full control (co-embodiment), or two agents with split control across robot control domains (split-embodiment). Participants underwent three distinct tasks -- a mundane data entry task where the robot provides motivational support, an individual sorting task with isolated robot failures, and a collaborative arrangement task where the robot causes a failure that directly affects the human participant. Participants perceived the robot as residing in the different control domains and were able to associate robot failure with different identities. This work signals how future robots can leverage different embodiment configurations to obtain the benefit of multiple robots within a single body.

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。

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