Sijie Sun
Papers
1
Total Citations
48
H-Index
1
About
Sijie Sun is a leading researcher at the intersection of service robotics, human–robot interaction, and consumer behavior. Her work critically examines how service robots influence customer evaluations, particularly when things go wrong. In her highly cited 2023 study, Sun investigates the nuanced role of symbolic service recovery—such as apologies or gestures—and demonstrates that its effectiveness depends on the robot’s perceived social attributes, like warmth or competence. This research, which has garnered 48 citations, offers actionable insights for designing more resilient and customer-friendly autonomous service agents. By bridging social cognition theory with applied robotics, Sun’s contributions help shape how businesses deploy robots in hospitality, retail, and healthcare settings. Her findings underscore that a robot’s social perception is not merely cosmetic but a functional determinant of service success. For students and researchers, Sun’s work is a vital guide to understanding the delicate balance between automation and the human need for empathetic, context-aware service recovery.
Research Focus
Key Achievements
Top Papers
- 1