Papers
1
Total Citations
23
H-Index
1
About
Yuxi Chen is a rising scholar in human-computer interaction and service robotics, with a focus on understanding user adoption and resistance to emerging technologies. Her most-cited work, "An empirical investigation of users' switching intention to public service robots: From the perspective of PPM framework" (2024, 23 citations), applies the Push-Pull-Mooring (PPM) model to explore why users transition from human-provided services to robotic alternatives in public settings. This research offers critical insights into the psychological and contextual factors driving technology acceptance, bridging gaps between service design and behavioral theory. Chen’s contributions are particularly relevant as public service robots become more prevalent in sectors like hospitality, healthcare, and transportation. Her work highlights the nuanced trade-offs users weigh—such as efficiency versus trust—and provides actionable frameworks for developers and policymakers. While her citation count is still growing, Chen’s early impact signals a promising trajectory, with her research already informing debates on human-robot collaboration. For students and researchers, her studies serve as a model for integrating established behavioral models with cutting-edge technological contexts, offering both theoretical depth and practical relevance in a rapidly evolving field.
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