Recent advancements in robot capabilities have enabled them to interact with people in various human-social environments (HSEs). In many of these environments, the perception of the robot often depends on its capabilities, e.g., task competency, language fluency, etc. To enable fluent human-robot interaction (HRI) in HSEs, it is crucial to understand the impact of these capabilities on the perception of the robot. Although many works have investigated the effects of various robot capabilities on the robot's perception separately, in this paper, we present a large-scale HRI study (n = 60) to investigate the combined impact of both language fluency and task competency on the perception of a robot. The results suggest that while language fluency may play a more significant role than task competency in the perception of the verbal competency of a robot, both language fluency and task competency contribute to the perception of the intelligence and reliability of the robot. The results also indicate that task competency may play a more significant role than language fluency in the perception of meeting expectations and being a good teammate. The findings of this study highlight the relationship between language fluency and task competency in the context of social HRI and will enable the development of more intelligent robots in the future.

翻译：近年来，机器人能力的进步使其能够在各类人类社交环境中与人交互。在这些环境中，人们对机器人的感知往往取决于其能力表现，例如任务执行能力、语言流畅度等。为实现人类社交环境中流畅的人机交互，理解这些能力对机器人感知的影响至关重要。尽管已有诸多研究分别探讨了不同机器人能力对感知的影响，本文通过一项大规模人机交互实验（样本量 n = 60），系统研究了语言流畅性与任务能力对机器人感知的联合影响。实验结果表明：在机器人言语能力感知方面，语言流畅性可能比任务能力发挥更重要的作用；而在智能度与可靠性感知方面，两者均具有贡献。研究同时发现，在满足期望程度与团队协作能力感知维度上，任务能力可能比语言流畅性具有更显著的影响。本研究揭示了社交人机交互场景中语言流畅性与任务能力的内在关联，将为未来开发更具智能的机器人提供理论依据。