Xiaoqian Lu
Papers
1
Total Citations
144
H-Index
1
About
Xiaoqian Lu is a leading scholar at the intersection of artificial intelligence, service robotics, and consumer behavior. Her research focuses on how customers emotionally and cognitively respond to service robots, employing hybrid machine-human intelligence approaches to decode complex human-robot interactions. In her highly cited 2022 work, "Customer Emotions in Service Robot Encounters," Lu pioneered a novel framework that combines qualitative depth with computational scalability, enabling researchers to analyze thousands of online reviews to predict consumer adoption intentions. This paper has garnered 144 citations, reflecting its significant impact on both academic theory and practical service design. Lu’s contributions are particularly notable for bridging the gap between rich, nuanced qualitative insights and the efficiency of machine learning, offering a replicable methodology for studying emerging technologies in real-world settings. Her work has profound implications for hospitality, retail, and healthcare industries increasingly deploying autonomous agents. By advancing our understanding of the emotional dynamics in human-robot encounters, Lu is shaping the future of service innovation and helping businesses design more empathetic, customer-centric robotic systems.
Research Focus
Key Achievements
Top Papers
- 1