人形机器人头在公共场所对话表现良好，多语言响应受好评但响应慢影响体验
A Case Study on the Acceptance of a Humanoid Robotic Head Employed in Three Public Spaces
- 用情感模拟后端实现多模态语言回应，支持自然语言交互
- 三处公共场所测试显示用户平均满意度高，任务易用性与使用意愿强
- 适合旅游咨询与图书馆场景，办公环境互动意愿较低，响应延迟需优化
先前研究显示，人形机器人接受度高度依赖运行环境和任务相关性。本文首先介绍机器人如何通过自然语言处理生成融合情感表达的多模态语音回应，其背后依托情感模拟系统。随后，我们在三个不同公共空间（游客信息中心、城市图书馆、政府办公楼）连续数日部署该机器人，邀请访客以母语与其对话。TAM2问卷结果显示，用户平均具备较强使用动机，认为机器人实用且易于操作，不受具体地点影响。然而，旅游信息中心与图书馆环境下的互动意愿显著高于政府办公楼。整体而言，多语言回应广受好评，但约五分之一用户反馈响应过慢，阻碍对话流畅性，此问题仍需未来改进。
原文摘要 · Abstract (English)
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.
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