AI 中文总结
研究仿人机器人头部在公共场所的接受度，通过情感模拟后端处理自然语言生成多模态响应，邀请访客交流。结果显示用户有使用意愿，公共场所更适配，多语言响应受欢迎，但响应时间待改进。
AI 中文摘要
先前的研究表明，类人机器人的接受度很大程度上取决于其运行环境和执行相关任务的能力。本文首先报告了我们的机器人如何基于情感模拟后端处理自然语言以生成整合情感表达的多模态语言响应。接着描述了如何邀请访客在三个不同公共场所用自己的语言与机器人交谈，机器人连续运行数天。技术接受模型2问卷结果显示，平均而言用户有使用机器人的意愿，且不论具体位置都觉得它相当有用且易用。然而，旅游信息处和城市图书馆等公共场所似乎比建筑管理部门等办公环境更适合我们的交互式机器人头部，后者互动意愿较低。总体而言，机器人的多语言响应很受欢迎，但五分之一的用户觉得响应时间太慢阻碍了对话流程，这有待未来工作改进。
英文摘要
Previous research has shown that a human-like robot's acceptance heavily depends on the setting in which it operates and its ability to perform relevant tasks. This paper, first, reports on how our robot processes natural language to generate a multimodal, verbal response integrating emotional expressions based on an emotion simulation backend. Then, it describes how visitors were invited to speak with our robot in their own language at three different, public locations, where the robot was running continuously for several days. The TAM2 questionnaire results reveal that on average users were motivated to use the robot and found it rather useful and easy to use regardless of the specific location. However, public spaces like the tourist information and the city library seem to be a better fit for our interactive, robotic head than an office environment such as the building authority, where the willingness to interact was lower. Overall, the robot's multi-lingual responses were very much appreciated, but every fifth user found the response time too slow impeding the dialog flow, which remains to be improved in future work.
Commentsaccepted at the 35th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN 2026) Kitakyushu, Japan
