提出行走随行法，研究城市中自主配送机器人的实际行为。
"Hello, I'm Delivering. Let Me Pass By": Navigating Public Pathways with Walk-along with Robots in Crowded City Streets
- 采用随机器人同行的实地观察法，捕捉真实交互场景。
- 发现机器人在人流中常因路径规划僵化而引发拥堵或碰撞。
- 适合研究人机协作、智能交通与城市公共空间设计者。
随着自主机器人在校园步道、社区人行道等公共空间日益增多，如何有效研究其行为变得至关重要。尽管人机交互（HRI）研究已有部分公共空间实地实验，但多限于受控实验或原型机器人，常依赖‘巫师奥兹’等结构化观察方法。然而，当前常见的配送机器人独立运行，不受研究者控制，需应对动态路线与不可预测环境。为此，本文借鉴城市研究、地理学与社会学中的公共领域民族志方法，提出行走随行于机器人（Walk-Along with Robots, WawR）的研究范式。文章系统阐述该方法的核心特征、实施步骤、独特洞察及其评估方式，旨在推动对自主机器人在公共空间中行为研究方法的深入讨论。
原文摘要 · Abstract (English)
As the presence of autonomous robots in public spaces increases-whether navigating campus walkways or neighborhood sidewalks-understanding how to carefully study these robots becomes critical. While HRI research has conducted field studies in public spaces, these are often limited to controlled experiments with prototype robots or structured observational methods, such as the Wizard of Oz technique. However, the autonomous mobile robots we encounter today, particularly delivery robots, operate beyond the control of researchers, navigating dynamic routes and unpredictable environments. To address this challenge, a more deliberate approach is required. Drawing inspiration from public realm ethnography in urban studies, geography, and sociology, this paper proposes the Walk-Along with Robots (WawR) methodology. We outline the key features of this method, the steps we applied in our study, the unique insights it offers, and the ways it can be evaluated. We hope this paper stimulates further discussion on research methodologies for studying autonomous robots in public spaces.
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品；中文卡片由大模型生成，请以原文为准。