公共部署机器人的一份清单：在人机交互社区中阐明隐性知识
A Checklist for Deploying Robots in Public: Articulating Tacit Knowledge in the HRI Community
AI总结：
本文提出一份公开可用的机器人公共部署清单，旨在通过整合社区专业知识，帮助研究人员避免常见错误并提升部署效率。
摘要：
在真实公共环境中部署机器人时遇到的许多挑战仍然没有记录，尽管它们共享许多共同的陷阱。这导致了进入门槛高，并导致重复出现可以避免的错误。为了在HRI社区中阐明隐性知识，本文提出了一种以清单形式呈现的指南，以帮助研究人员为在公共场合部署机器人做准备。基于他们自己在公共机器人部署中的经验，研究团队收集了在公共HRI研究中需要考虑的必备主题。这些主题被表示为模块化的翻转卡片，在分层表格中结构化为部署阶段和重要的领域。我们采访了六位具有公共HRI专业知识的跨学科研究人员，并展示了如何通过社区输入来完善清单。我们进一步在真实公共研究的背景下展示了清单的实际应用。最后，我们贡献了这份清单作为开放源代码、可定制的社区资源，它不仅收集了共同的专业知识以实现持续发展，而且可以作为列表、卡片集和交互式网络工具使用。
英文摘要：
Many of the challenges encountered in in-the-wild public deployments of robots remain undocumented despite sharing many common pitfalls. This creates a high barrier of entry and results in repetition of avoidable mistakes. To articulate the tacit knowledge in the HRI community, this paper presents a guideline in the form of a checklist to support researchers in preparing for robot deployments in public. Drawing on their own experience with public robot deployments, the research team collected essential topics to consider in public HRI research. These topics are represented as modular flip cards in a hierarchical table, structured into deployment phases and important domains. We interviewed six interdisciplinary researchers with expertise in public HRI and show how including community input refines the checklist. We further show the checklist in action in context of real public studies. Finally, we contribute the checklist as an open-source, customizable community resource that both collects joint expertise for continual evolution and is usable as a list, set of cards, and an interactive web tool.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
