Papers
1
Total Citations
23
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About
Wenshan Guo is a rising scholar in the fields of human-robot interaction, technology adoption, and service innovation. Their research primarily explores the psychological and behavioral mechanisms that drive users to adopt or abandon emerging technologies, with a particular focus on public service robots. In their most-cited work, "An empirical investigation of users' switching intention to public service robots: From the perspective of PPM framework" (2024), Guo applies the Push-Pull-Mooring (PPM) framework to uncover why users shift from human-provided services to robotic alternatives. This study, which has already garnered 23 citations shortly after publication, offers critical insights for designing user-centered robotic systems and managing technology transitions in public sectors. By bridging theoretical models with practical implications, Guo’s work contributes to understanding the nuanced factors—such as dissatisfaction with current services, perceived usefulness of robots, and social influences—that shape user decisions. Their research not only advances academic discourse in service robotics but also provides actionable guidance for policymakers and developers aiming to enhance public acceptance of automation. As an emerging voice in this domain, Wenshan Guo’s findings are poised to influence future studies on technology switching behavior and human-robot collaboration.
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