Lan Lan

Papers

1

Total Citations

2

H-Index

1

About

Lan Lan is a researcher whose work bridges the fields of human-robot interaction and linguistic pragmatics, with a particular focus on how social robots can engage in polite, context-aware dialogue. Her most cited paper, "Applying politeness maxims in social robotics polite dialogue" (2012), draws on established theories of linguistic politeness to design conversational frameworks that make robots more socially acceptable and effective in human-centered settings. This foundational work has garnered 2 citations, marking an early contribution to the emerging area of socially assistive robotics. Lan’s research explores how principles like tact, generosity, and approbation can be operationalized in robotic speech, aiming to reduce user discomfort and enhance trust in autonomous systems. Her contributions are especially relevant to the development of service robots, companion robots, and educational agents, where natural and respectful interaction is critical. By integrating insights from sociolinguistics into robotics, Lan Lan has helped lay the groundwork for more empathetic and socially intelligent machines, making her work a valuable reference for students and researchers interested in the intersection of language, ethics, and technology.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Applying politeness maxims in social robotics polite dialogue
2 citations · 2012
📈 Most Prolific Year: 2012 (1 Papers)
🤝 Key Collaborators: 0

Top Papers

  1. 1

Contact & Links

Available for collaboration
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