Papers

5

Total Citations

36

H-Index

3

About

Myungho Lee investigates the intersection of human-computer interaction, virtual humans, and augmented reality, with a focus on how digital agents can communicate more naturally and effectively. His work addresses critical challenges in conversational systems, particularly the problem of latency that degrades user experience. In his most cited paper (15 citations), Lee demonstrated that gestural fillers—subtle movements by digital humans during processing delays—can significantly reduce user-perceived latency, improving the fluidity of human-AI conversation. He further explored how a surrogate’s physicality and gesturing influence social dynamics in public spaces (12 citations), and developed techniques for realistic interactions with virtual humans in mobile augmented reality by extracting silhouettes from real objects (6 citations). Lee’s research on “mediated physicality” proposes clever methods to induce the illusion of a virtual human’s physical presence using environmental objects, avoiding cumbersome haptic devices. His recent work extends into multi-agent coverage path planning for road network digital twins, showcasing his versatility. Through these contributions, Lee advances our understanding of how to make digital humans more believable, responsive, and socially integrated into our physical world.

Research Focus

Key Achievements

3
H-Index
5
Papers
36
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
Can Gestural Filler Reduce User-Perceived Latency in Conversation with Digital Humans?
15 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 15
🏛 Institutions: Pusan National University, University of Central Florida

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago