Papers

1

Total Citations

3

H-Index

1

About

Yini Fang is a pioneering researcher at the intersection of humanoid robotics and healthcare automation, whose work focuses on designing intelligent dialogue systems that bridge the gap between human-like interaction and clinical functionality. Her most cited paper, "A Humanoid Robot Dialogue System Architecture Targeting Patient Interview Tasks" (2024, 3 citations), introduces a novel framework that leverages anthropomorphic design to automate routine patient interviews—a task traditionally performed by medical staff. Fang’s key contribution lies in addressing the dual challenge of harnessing humanoid robots’ verbal and behavioral cues to build trust and rapport, while mitigating the inflated expectations that anthropomorphism can create. This work has immediate implications for reducing clinician workload and improving patient data collection in understaffed healthcare settings. Though early in her career, Fang’s research has already sparked interest in human-robot interaction and medical informatics communities, positioning her as a rising voice in deploying socially intelligent robots for real-world clinical tasks. Her architecture sets a foundation for future systems that balance empathy with efficiency.

Research Focus

Key Achievements

1
H-Index
1
Papers
3
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
A Humanoid Robot Dialogue System Architecture Targeting Patient Interview Tasks
3 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 12
🏛 Institutions: Hong Kong University of Science and Technology

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago