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Sanqi Yang

dblp:423/3021 · DBLP profile ↗
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1ranked-venue papers
1as first author
1since 2021 · last 2026
0009-0009-8630-1931ORCID · reported

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

Artificial intelligence and machine learning · 1 · 1 first-author · 1 since 2021Human-computer interaction and ubiquitous computing · 1 · 1 first-author · 1 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
1 paper
Human-robot interaction · 77% Design research and methods · 23%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Human-robot interaction
service robot
1.012026
Why Do Service Robots Fail? A Systematic Literature Review from a Service Design Perspective · HRI 2026
Design research and methods › design practice
service design
0.312026
Why Do Service Robots Fail? A Systematic Literature Review from a Service Design Perspective · HRI 2026

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

systematic literature review · 1.0
YearPublicationVenuePosition
2026 Why Do Service Robots Fail? A Systematic Literature Review from a Service Design Perspective
abstract
Service robots are widely deployed to address labor shortages and improve service quality, yet many still fail in practice. Most research has focused on the positive, overlooking why they fail. To address this gap, our study examines service robot failures from a service design perspective, focusing on design features. To validate this, we conducted a systematic literature review of 863 studies and selected 34 as our data sample. We identified 17 robot design features across three service design aspects and proposed an integrated framework that explains how these features lead to service failures. Theoretically, this study provides a framework for explaining service robot failures from a service design (S-D Logic) perspective, addressing a gap in HRI and service design research. In practice, this study offers actionable guidance for practitioners on improving the design of service robots, their human-robot interaction, and their system integration in real-world service environments.
Sanqi Yang, Jaehyun Park 0007, Sangseok You, Younghoon Chang
HRI1