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Do Yeon Shin

dblp:404/5624 · DBLP profile ↗
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2ranked-venue papers
0as first author
2since 2021 · last 2026
0009-0000-9339-777XORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 2 · 2 since 2021Human-computer interaction and ubiquitous computing · 2 · 2 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Human-computer interaction and pervasive computing
2 papers
Human-robot interaction · 67% Design research and methods · 26% Collaborative and social computing · 7%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Human-robot interaction › service robot
delivery robot
1.922026
Is Robot Labor Labor? Delivery Robots and the Politics of Work in Public Space · HRI 2026
"Hello, I'm Delivering. Let Me Pass By": Navigating Public Pathways with Walk-Along with Robots in Crowded City Streets · HRI 2025
Human-robot interaction › service robot
public space robot
1.012026
Is Robot Labor Labor? Delivery Robots and the Politics of Work in Public Space · HRI 2026
Design research and methods
field study
0.912025
"Hello, I'm Delivering. Let Me Pass By": Navigating Public Pathways with Walk-Along with Robots in Crowded City Streets · HRI 2025
Collaborative and social computing
socio-technical systems
0.312026
Is Robot Labor Labor? Delivery Robots and the Politics of Work in Public Space · HRI 2026
Design research and methods › field study
ethnographic study
0.312025
"Hello, I'm Delivering. Let Me Pass By": Navigating Public Pathways with Walk-Along with Robots in Crowded City Streets · HRI 2025

Methods — techniques the papers use, named apart from their topics

ethnographic fieldwork · 1.0walk-along method · 0.9ethnography · 0.9
YearPublicationVenuePosition
2026 Is Robot Labor Labor? Delivery Robots and the Politics of Work in Public Space
abstract
As sidewalk delivery robots become increasingly integrated into urban life, this paper begins with a critical provocation: Is robot labor labor? More than a rhetorical question, this inquiry invites closer attention to the social and political arrangements that robot labor entails. Drawing on ethnographic fieldwork across two smart-city districts in Seoul, we examine how delivery robot labor is collectively sustained. While robotic actions are often framed as autonomous and efficient, we show that each successful delivery is in fact a distributed sociotechnical achievement—reliant on human labor, regulatory coordination, and social accommodations. We argue that delivery robots do not replace labor but reconfigure it—rendering some forms more visible (robotic performance) while obscuring others (human and institutional support). Unlike industrial robots, delivery robots operate in shared public space, engage everyday passersby, and are embedded in policy and progress narratives. In these spaces, we identify robot privilege—humans routinely yielding to robots—and distinct perceptions between casual observers (“cute”) and everyday coexisters (“admirable”). We contribute a conceptual reframing of robot labor as a collective assemblage, empirical insights into South Korea’s smart-city automation, and a call for HRI to engage more deeply with labor and spatial politics to better theorize public-facing robots.
Do Yeon Shin
HRI2
2025 "Hello, I'm Delivering. Let Me Pass By": Navigating Public Pathways with Walk-Along with Robots in Crowded City Streets
abstract
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.
Do Yeon Shin
HRI2