Understanding the Interaction between Delivery Robots and Other Road and Sidewalk Users
A Study of User-generated Online Videos
Bibliographic Data
| ID | 8084883 |
|---|---|
| Authors | Xinyan Yu (0000-0001-8299-3381, The University of Sydney, corresponding author), Marius Hoggenmüller (0000-0002-8893-5729, The University of Sydney), Tram Thi Minh Tran (0000-0002-4958-2465, The University of Sydney), Yiyuan Wang (0000-0003-2610-1283, The University of Sydney), Martin Tomitsch (0000-0003-1998-2975, Transdisciplinary School, University of Technology Sydney, Sydney, Australia) |
| Year | 2024 |
| Volume | 13 |
| Issue | 4 |
| Pages | 1-32 |
| Publication date | 2024-07-17 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | ACM Transactions on Human-Robot Interaction (JOURNAL) |
| Journal identifiers | ISSN: 2573-9522 • E-ISSN: 2573-9522 |
| Publisher | Association for Computing Machinery (PUBLISHER • US) |
| DOI | 10.1145/3677615 |
| OpenAlex | W4400729563 |
| Language | EN |
| Citations received | 1 |
| References cited | 87 |
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 2,067 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
Human–computer interaction · Multimedia · Robot · World Wide Web · AI in Service Interactions · Computer Science · Robotics and Automated Systems · Social Robot Interaction and HRI · Artificial Intelligence
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| Unique citing works | 1 |
|---|---|
| Citations per year | 1 |
| Citation span | 2025 - 2025 (1) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 1 |