雑談から親密さへ：協調タスクにおけるロボットの自己開示の探求
From Small Talk to Rapport: Exploring Robot Self-Disclosure in Collaborative Tasks
産業用マニピュレータを用いて、雑談中の自己開示の度合い（低・高）が人間とロボットの協調に与える影響をユーザー研究（N=50）で調査した。低開示条件の方が参加者の自己開示が多く、チームワークと調整の評価も高かった。
詳しい要約
1. どんなもの？
2. 先行研究と比べてどこがすごい？
3. 技術・手法の肝は？
4. どうやって有効だと検証した？
5. 議論はある？
6. 次に読むべき論文は？
※ AIが要旨から生成した要約です。正確性は原文をご確認ください。
著者: Kaitlynn Taylor Pineda, Anvii Mishra, Brian Chien, Angela Guo, Toluwani Williams, Ziang Xiao, Chien-Ming Huang
分類: cs.RO
原文アブストラクト
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.