Seyun Kim

Carnegie Mellon University

Papers

1

Total Citations

7

H-Index

1

About

Seyun Kim is a rising researcher at the forefront of human-robot interaction (HRI), with a focused commitment to embedding ethical principles into robotic design. Her primary research areas center on fairness, transparency, and social justice in autonomous systems, exploring how robots can equitably interact with diverse human populations. Kim’s most cited work, "Fairness and Transparency in Human-Robot Interaction" (2022, 7 citations), is a seminal workshop paper that crystallized a critical question for the field: how can we ensure robots treat people fairly as they become ubiquitous in human spaces? This contribution has helped shift HRI discourse from purely technical performance toward socio-technical accountability. By convening interdisciplinary researchers to tackle algorithmic bias and opaque decision-making in robots, Kim has positioned herself at the vanguard of responsible AI design. Her work is particularly notable for bridging theoretical ethics with practical engineering, offering frameworks that influence both academic research and real-world robotic deployment. Though early in her career, Kim’s impact is already evident in how her citations are shaping conversations around equitable automation. For students and researchers, her profile exemplifies how emerging scholars can drive paradigm shifts by asking the right questions about fairness in technology.

Research Focus

Key Achievements

1
H-Index
1
Papers
7
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
Fairness and Transparency in Human-Robot Interaction
7 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Carnegie Mellon University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago