人机交互与感知非理性：信任动态与错误承认研究
Human-Robot Interaction and Perceived Irrationality: A Study of Trust Dynamics and Error Acknowledgment
AI总结：
本研究通过四阶段调查，发现机器人承认错误能显著提升人类信任与推荐意愿，为人机交互中设计更透明可信的机器人系统提供了实证依据。
摘要：
随着机器人日益融入各行各业，理解人类如何应对机器人故障变得至关重要。本研究通过分析人类对机器人故障的反应，系统性地考察了信任动态与系统设计。我们开展了一项四阶段调查，以探索人机交互过程中信任的演变过程。第一阶段收集了人口统计数据与初始信任水平。第二阶段聚焦于对机器人能力的初步期望与感知。第三阶段考察了交互细节，包括机器人精确度与错误承认。最后，第四阶段评估了交互后的感知，评价了信任动态、宽恕以及推荐机器人技术的意愿。结果表明，当机器人承认其错误或局限时，人类对机器人系统的信任显著增加。此外，参与者更愿意在未来任务中推荐使用机器人，这凸显了直接参与在塑造信任动态中的重要性。这些发现为设计更透明、更灵敏、更值得信赖的机器人系统提供了宝贵见解。通过加深我们对人机交互（HRI）的理解，本研究有助于推动机器人技术的发展，促进公众更广泛的接受与采用。
英文摘要：
As robots become increasingly integrated into various industries, understanding how humans respond to robotic failures is critical. This study systematically examines trust dynamics and system design by analyzing human reactions to robot failures. We conducted a four-stage survey to explore how trust evolves throughout human-robot interactions. The first stage collected demographic data and initial trust levels. The second stage focused on preliminary expectations and perceptions of robotic capabilities. The third stage examined interaction details, including robot precision and error acknowledgment. Finally, the fourth stage assessed post-interaction perceptions, evaluating trust dynamics, forgiveness, and willingness to recommend robotic technologies. Results indicate that trust in robotic systems significantly increased when robots acknowledged their errors or limitations. Additionally, participants showed greater willingness to suggest robots for future tasks, highlighting the importance of direct engagement in shaping trust dynamics. These findings provide valuable insights for designing more transparent, responsive, and trustworthy robotic systems. By enhancing our understanding of human-robot interaction (HRI), this study contributes to the development of robotic technologies that foster greater public acceptance and adoption.
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。
