Papers

4

Total Citations

39

H-Index

4

About

Jae-Gil Lee explores the intersection of human-robot interaction, child development, and autonomous systems, investigating how robots can serve as socially intelligent companions. His most impactful work examines robot etiquette tailored to children at different developmental stages—finding that younger children respond best to cheerful encouragement while older children benefit from careful listening—a study that has garnered 17 citations. Lee further extends this research to working parents, optimizing childcare functions for varying parenting characteristics (14 citations), demonstrating a practical, family-centered approach to robotics. His earlier work includes empirical analysis of how humanoid robots and their avatars affect human creativity, as well as a critical study on trust in unmanned driving systems, where he designed experiments comparing anthropomorphism levels between humanoid robots and smartphones. Through these contributions, Lee bridges developmental psychology and robotics, offering nuanced insights into how autonomous systems can adapt to human emotional and cognitive needs. His research holds significant implications for designing robots that support caregiving, education, and safe automation, making him a thoughtful voice in socially assistive robotics.

Research Focus

Key Achievements

4
H-Index
4
Papers
39
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
Cheerful encouragement or careful listening: The dynamics of robot etiquette at Children's different developmental stages
17 citations · 2021
📈 Most Prolific Year: 2021 (2 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Sungkyunkwan University, Pennsylvania State University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago