通过用户反馈验证社交机器人在公共空间的伦理与可靠性设计。
From Framework to Reliable Practice: End-User Perspectives on Social Robots in Public Spaces
- 基于SecuRoPS框架设计并部署接待机器人，结合真实用户测试。
- 35名用户认可其安全性与数据保护，但指出无障碍与交互动态性不足。
- 开源应用模板，助力研究者快速复现与推广可信社交机器人。
随着社交机器人逐步进入公共环境，其接受度不仅取决于技术可靠性，还涉及伦理完整性、可访问性与用户信任。本文报告了一次试点部署：基于SecuRoPS框架设计的ARI社交机器人作为大学接待员投入使用。35名学生与教职员工对其在安全、隐私、可用性、可访问性及透明度方面进行了结构化反馈。结果显示，用户普遍认可其物理安全、数据保护与伦理行为，但仍存在无障碍性与动态交互方面的挑战。研究不仅验证了理论框架在真实场景中的落地可行性，还通过公开GitHub仓库提供可复用的ARI机器人应用模板，促进研究可重复性并降低新研究者入门门槛。该工作推动了人工智能与社会关系的讨论，支持构建可信赖、包容且伦理合规的公共空间社交机器人。
原文摘要 · Abstract (English)
As social robots increasingly enter public environments, their acceptance depends not only on technical reliability but also on ethical integrity, accessibility, and user trust. This paper reports on a pilot deployment of an ARI social robot functioning as a university receptionist, designed in alignment with the SecuRoPS framework for secure and ethical social robot deployment. Thirty-five students and staff interacted with the robot and provided structured feedback on safety, privacy, usability, accessibility, and transparency. The results show generally positive perceptions of physical safety, data protection, and ethical behavior, while also highlighting challenges related to accessibility, inclusiveness, and dynamic interaction. Beyond the empirical findings, the study demonstrates how theoretical frameworks for ethical and secure design can be implemented in real-world contexts through end-user evaluation. It also provides a public GitHub repository containing reusable templates for ARI robot applications to support reproducibility and lower the entry barrier for new researchers. By combining user perspectives with practical technical resources, this work contributes to ongoing discussions in AI and society and supports the development of trustworthy, inclusive, and ethically responsible social robots for public spaces.
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