Papers
2
Total Citations
64
H-Index
1
About
Xianglan Chen is a pioneering researcher at the intersection of human-robot interaction and organizational behavior, with a particular focus on Generation Z's evolving relationship with service automation. Her landmark 2022 study, "Friend or a Foe," which has garnered 63 citations, fundamentally reshaped our understanding of how the youngest generation of employees perceives and accepts working alongside service robots in the hotel industry. Through a rigorous mixed-methods approach combining 30 in-depth interviews with extensive quantitative analysis, Chen developed a comprehensive framework identifying the key determinants of Gen Zers' acceptance of robotic coworkers, offering invaluable insights for hospitality managers navigating workforce automation. More recently, Chen has expanded her expertise into surgical robotics, contributing to a 2025 propensity score-matched analysis comparing robotic-assisted versus video-assisted thoracoscopic surgery for pulmonary opacities, examining both clinical efficacy and postoperative quality of life. This dual focus—spanning service industry automation and medical robotics—demonstrates Chen's versatility in addressing how robotic technologies transform human work across sectors. Her research continues to inform both academic theory and practical implementation strategies for organizations integrating robotic systems into human-centered work environments.
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Top Papers
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