その道具を取ってもらえる？：物理的な人とロボットの協働における間接発話の影響
Can you pass that tool?: Implications of Indirect Speech in Physical Human-Robot Collaboration
間接的な言い回し（間接発話行為）を理解できるロボットが、人とロボットの協働作業において、ロボットの擬人化知覚・チーム成績・信頼を高めることを実験で示した。
著者: Yan Zhang, Tharaka Sachintha Ratnayake, Cherie Sew, Jarrod Knibbe, Jorge Goncalves, Wafa Johal
分類: cs.HC, cs.RO
原文アブストラクト
Indirect speech acts (ISAs) are a natural pragmatic feature of human communication, allowing requests to be conveyed implicitly while maintaining subtlety and flexibility. Although advancements in speech recognition have enabled natural language interactions with robots through direct, explicit commands -- roviding clarity in communication -- the rise of large language models presents the potential for robots to interpret ISAs. However, empirical evidence on the effects of ISAs on human-robot collaboration (HRC) remains limited. To address this, we conducted a Wizard-of-Oz study (N=36), engaging a participant and a robot in collaborative physical tasks. Our findings indicate that robots capable of understanding ISAs significantly improve human's perceived robot anthropomorphism, team performance, and trust. However, the effectiveness of ISAs is task- and context-dependent, thus requiring careful use. These results highlight the importance of appropriately integrating direct and indirect requests in HRC to enhance collaborative experiences and task performance.
