Papers
1
Total Citations
3
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About
Yifan Shen is a researcher at the intersection of humanoid robotics and healthcare interaction, whose work focuses on designing dialogue systems that enable robots to conduct patient interviews with human-like sensitivity. Shen’s most cited paper, “A Humanoid Robot Dialogue System Architecture Targeting Patient Interview Tasks” (2024), addresses a critical challenge: while humanoid robots can leverage verbal and behavioral cues to improve medical interviews, their anthropomorphic design also raises patient expectations that must be carefully managed. By proposing a novel system architecture that balances natural interaction with realistic capability boundaries, Shen has laid foundational groundwork for deploying social robots in clinical settings. Though early in their career, Shen’s contributions are already shaping how researchers think about trust, communication, and user experience in healthcare robotics. With 3 citations to date, this work signals growing interest in Shen’s pragmatic approach to integrating humanoid robots into sensitive medical tasks—a field poised for rapid expansion as healthcare systems seek scalable, empathetic solutions for patient intake and triage.
Research Focus
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Top Papers
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