Inyoung Shin

Yale University

Papers

1

Total Citations

2

H-Index

1

About

Dr. Inyoung Shin is a pioneering researcher at the intersection of human-robot interaction (HRI), social cognition, and moral psychology. Her work fundamentally explores how humans perceive and judge the actions of autonomous agents, particularly when those actions carry moral weight. Shin’s major contribution lies in unraveling the psychological mechanisms behind fairness evaluations in HRI—specifically, how a robot’s perceived agency and intent shape whether its behavior is seen as fair or harmful. Her most-cited paper, “Did the Robot Really Intend to Harm Me?” (2025), experimentally demonstrates that people apply distinct moral frameworks to robots based on how much they believe the robot can act intentionally. This work has already garnered attention for its implications in designing ethical AI and building trust in collaborative robotics. By bridging social psychology and robotics, Shin’s research provides critical insights for developing machines that can navigate complex social and moral landscapes. Her findings are essential reading for students and researchers in HRI, AI ethics, and cognitive science, offering a rigorous empirical foundation for understanding how humans will coexist with increasingly autonomous agents.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Did the Robot Really Intend to Harm Me? The Effect of Perceived Agency and Intention on Fairness Judgments
2 citations · 2025
📈 Most Prolific Year: 2025 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Yale University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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