Xiaonan Li

Beijing International Studies University

Papers

Total Citations

H-Index

About

Xiaonan Li is a leading researcher in human-robot interaction, with a primary focus on service robotics and user experience in hospitality settings. Her most cited work, "A Complexity Analysis of User Interaction with Hotel Robots" (2020), provides a foundational framework for understanding how hotel customers perceive, engage with, and evaluate robotic service agents. By analyzing the motivations, interests, and behavioral patterns of guests interacting with service robots, Li identifies key factors that influence user satisfaction and operational efficiency. This research has garnered 4 citations and is instrumental for designers and hoteliers seeking to optimize human-robot collaboration in real-world environments. Li’s contributions bridge the gap between technical robotics and consumer psychology, offering actionable insights for improving robot responsiveness and service quality. Her work is particularly notable for its practical implications in the rapidly growing field of hospitality automation, where understanding user complexity is critical for successful adoption. Li continues to advance the study of human-robot dynamics, shaping how future service robots are designed to meet diverse user needs.