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.
翻译:随着社交机器人日益进入公共环境,其接受度不仅取决于技术可靠性,还依赖于伦理完整性、可访问性及用户信任。本文报告了一项ARI社交机器人作为大学接待员的试点部署,该设计遵循了用于安全与伦理社交机器人部署的SecuRoPS框架。35名学生及工作人员与机器人进行了互动,并就安全性、隐私性、可用性、可访问性及透明度提供了结构化反馈。结果显示,用户对物理安全、数据保护及伦理行为普遍持积极看法,同时也突显了在可访问性、包容性及动态交互方面存在的挑战。除实证发现外,本研究展示了伦理与安全设计的理论框架如何通过终端用户评估在现实场景中得以实施。研究还提供了一个公共GitHub仓库,内含可复用的ARI机器人应用模板,以支持可重复性并降低新研究者的入门门槛。通过将用户视角与实用技术资源相结合,本工作为人工智能与社会领域的持续讨论作出贡献,并支持开发适用于公共空间的、可信赖、包容且符合伦理责任的社交机器人。