发表机构
Johns Hopkins University（约翰斯·霍普金斯大学）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
本研究开发了LLM驱动的工业机械臂，采用低/高表露策略开展用户研究，发现低表露时用户自我表露更多、团队协作感更强，提示机器人自我表露并非越多越好，需考虑用户HRI经验。
AI 中文摘要
人们在协作时会自然地聊天，并分享个人信息（即自我表露）以建立融洽关系和维持社会联系。随着机器人被越来越多地开发用于与人类协同工作，有效利用这些社交行为来提升参与度和支持团队合作变得愈发重要。虽然已有研究表明机器人主动发起的闲聊有益于人机协作，但对于如何最好地设计此类闲聊却知之甚少。在本研究中，我们探索如何设计自我表露以支持人机团队中的闲聊——尤其是当机器人是缺乏拟人化线索且执行物理工作的工业机械臂时。我们首先开发了一个由大语言模型（LLM）驱动的机械臂，该机械臂能够参与闲聊，采用低表露或高表露策略。随后我们开展了一项用户研究（N=50），以探究闲聊中的自我表露如何影响人机动态。出乎意料的是，在低表露条件下，参与者的自我表露更多，且报告的团队协作和协调感比高表露条件下的参与者更强。这种效应在有与机器人协作经验的用户中更为明显。这些结果表明，增加机器人的自我表露并不一定能促进融洽关系、社会联系或互惠式自我表露；还应考虑其他因素，例如先前的人机交互（HRI）经验。
英文摘要
People naturally chat while collaborating and share personal information (i.e., self-disclose) to build rapport and maintain social connections. As robots are increasingly developed to work with people, the effective use of these social behaviors to enhance engagement and support teamwork becomes ever more important. While prior work has shown that robot-initiated small talk can benefit human-robot collaboration, less is known about how best to design such small talk. In this work, we explore how self-disclosure may be designed to support small talk within a human-robot team---especially when the robot is an industrial manipulator that lacks anthropomorphic cues and performs physical work. We first developed an LLM-driven manipulator capable of partaking in small talk, adopting either a low-disclosure or high-disclosure strategy. We then conducted a user study (N = 50) to investigate how self-disclosure in small talk influences human-robot dynamics. Unexpectedly, participants disclosed more in the low-disclosure condition and reported stronger teaming and coordination than those in the high-disclosure condition. This effect was more pronounced among users with prior experience teaming with robots. These results suggest that increasing robot self-disclosure does not necessarily foster rapport, social connection, or reciprocal disclosure; other factors, such as prior HRI experience, should be considered.
Comments8 pages, 2 figures, 1 table
