Understanding the Interaction between Delivery Robots and Other Road and Sidewalk Users: A Study of User-generated Online Videos

ACM Transactions on Human-Robot Interaction Pub Date : 2024-07-17 DOI:10.1145/3677615

Xinyan Yu, Marius Hoggenmüller, Tram Thi Minh Tran, Yiyuan Wang, M. Tomitsch

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Abstract

The deployment of autonomous delivery robots in urban environments presents unique challenges in navigating complex traffic conditions and interacting with diverse road and sidewalk users. Effective communication between robots and road and sidewalk users is crucial to address these challenges. This study investigates real-world encounter scenarios where delivery robots and road and sidewalk users interact, seeking to understand the essential role of communication in ensuring seamless encounters. Following an online ethnography approach, we collected 117 user-generated videos from TikTok and their associated 2067 comments. Our systematic analysis revealed several design opportunities to augment communication between delivery robots and road and sidewalk users, which include facilitating multi-party path negotiation, managing unexpected robot behaviour via transparency information, and expressing robot limitations to request human assistance. Moreover, the triangulation of video and comments analysis provides a set of design considerations to realise these opportunities. The findings contribute to understanding the operational context of delivery robots and offer insights for designing interactions with road and sidewalk users, facilitating their integration into urban spaces.

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了解送货机器人与其他道路和人行道使用者之间的互动：用户生成的在线视频研究

在城市环境中部署自动送货机器人，在复杂的交通条件下航行并与不同的道路和人行道使用者互动，是一项独特的挑战。要应对这些挑战，机器人与道路和人行道使用者之间的有效沟通至关重要。本研究调查了现实世界中送货机器人与道路和人行道用户互动的相遇场景，试图了解沟通在确保无缝相遇中的重要作用。我们采用在线人种学方法，从 TikTok 收集了 117 个用户生成的视频及其相关的 2067 条评论。我们的系统分析揭示了增强送货机器人与道路和人行道用户之间交流的几个设计机会，其中包括促进多方路径协商、通过透明信息管理机器人的意外行为，以及表达机器人的局限性以请求人类帮助。此外，视频和评论分析的三角分析为实现这些机会提供了一系列设计考虑因素。这些研究结果有助于理解送货机器人的运行环境，并为设计与道路和人行道使用者的互动提供启示，从而促进机器人与城市空间的融合。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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ACM Transactions on Human-Robot Interaction

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