Xuanyi Bi
Papers
1
Total Citations
6
H-Index
1
About
Xuanyi Bi is a rising scholar at the intersection of health communication, human-robot interaction, and public opinion research. Her work critically examines how psychological and demographic factors shape public acceptance of emerging technologies, particularly in healthcare settings. Bi’s most cited study, “Heterogeneity of Attitudes toward Robots in Healthcare among the Chinese Public: A Latent Profile Analysis” (2022), employs advanced latent profile analysis to uncover distinct attitude subgroups within the Chinese population—a methodological innovation that moves beyond treating public opinion as monolithic. This research has garnered 6 citations and provides actionable insights for designing culturally sensitive robotic systems and communication strategies. By linking demographic characteristics to specific attitude profiles, Bi’s work offers a nuanced framework for understanding technology adoption barriers and facilitators. Her contributions are especially timely as healthcare systems worldwide explore robotic integration. Bi’s research not only advances theoretical models of technology acceptance but also informs practical deployment, making her a key voice in the growing field of human-centered robotics and health communication.
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