发表机构
Kyushu Institute of Technology; Research Center for Neuromorphic AI Hardware（九州工业大学; 神经形态AI硬件研究中心）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
针对服务机器人无法检测所有任务失败的问题，提出基于平板单按钮的实时人工反馈机制，使机器人据此重规划动作，实验证明该功能同时提升任务成功率与用户体验。
AI 中文摘要
服务机器人在现实环境中必须响应意外指令。然而，机器人无法在任务期间检测到所有失败和异常情况。为解决这些问题，我们提出了一种实时反馈功能，使机器人能够根据人类反馈修改其行为。在该系统中，当机器人未能正确行动时，用户可以通过平板电脑上的单个按钮直观地向机器人发送反馈。机器人利用该反馈来考虑其失败原因并重新规划适当动作以完成任务。我们进行了有无反馈功能的对比实验，以验证以下假设：“简单交互不会导致负面用户体验。”所有问卷回答均采用五点李克特量表进行评估。在添加反馈功能后，对于“您是否觉得机器人的行为出乎意料？”这一问题的回答得分提高了0.5分，对于“您是否曾对机器人的行为感到焦虑？”这一问题的回答得分提高了0.9分。这些结果支持了该研究的假设，并表明纳入这种实时反馈功能可以同时提升任务成功率和用户体验。
英文摘要
Service robots must respond to unexpected instructions in real-world environments. However, robots cannot detect all failures and exceptions during a task. To address these issues, we propose a real-time feedback function that enables robots to modify their behavior based on human feedback. In this system, users can intuitively send feedback to the robot by pressing a single button on a tablet when the robot fails to act correctly. Robots use this feedback to consider their failures and replan appropriate actions to complete the task. We conducted experiments with and without the feedback function to verify the following hypothesis: "Simple interactions do not cause a negative user experience." All questionnaire responses are evaluated on a five-point Likert scale. After adding the feedback function, the response score for the question "Did you feel that the robot's behavior was unexpected?" improved by 0.5 points, and that for "Did you feel anxious about the robot's behavior at times?" improved by 0.9 points. These results support the study's hypothesis and indicate that incorporating this real-time feedback function can simultaneously improve task success and the user experience.
Comments6 pages, accepted as a conference paper for 2026 35th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN 2026)
