Huiling Huang
Papers
8
Total Citations
140
H-Index
6
About
Huiling Huang is a multidisciplinary researcher whose work spans robotics, artificial intelligence, and consumer behavior in hospitality contexts. Beginning with foundational contributions in multi-robot systems, Huang developed cooperative auction frameworks for coordinating patrol planning across robot teams — work that addressed real-world challenges in autonomous systems and earned citations that reflect its technical utility. Huang's research trajectory has since evolved toward the human dimensions of service robotics, with a particular focus on how customers perceive and interact with robots in hospitality environments. Most notably, a 2022 study examining consumer attraction to humanoid versus non-humanoid service robots has accumulated 79 citations, establishing Huang as a significant voice in this rapidly growing field. Subsequent work has tackled nuanced questions around gender stereotyping in robot service failures, solo dining experiences with robotic companions, task objectivity and service failure perceptions, and even the psychological effects of robot color and ambient lighting on consumer responses. Collectively, Huang's contributions bridge engineering precision with consumer psychology, offering actionable insights for hospitality businesses deploying service robots. This body of work positions Huang as a compelling researcher for students exploring human-robot interaction, service design, and the future of AI in everyday social settings.
Research Focus
Key Achievements
Top Papers
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- 4Gender Stereotyping in Robot Service Failures8 citations · 2024
- 5Dynamic Patrol Planning in a Cooperative Multi-robot System7 citations · 2011
- 6How task objectivity shapes customer responses to robot service failure6 citations · 2025
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