Young June Sah
Papers
1
Total Citations
12
H-Index
1
About
Young June Sah is a researcher whose work lies at the intersection of human-robot interaction, communication technology, and user psychology. His most cited paper, “Are specialist robots better than generalist robots?” (2011, 12 citations), investigates how a robot’s perceived specialization influences human trust, perception, and engagement during interaction. By examining individual differences in immersive tendencies, Sah reveals that users respond more positively to robots framed as domain experts, suggesting that perceived competence can shape the quality of human-robot collaboration. This contribution is foundational for designing robots that are not only functional but also socially attuned to user expectations. Sah’s research underscores the importance of tailoring robotic roles to user psychology, offering insights that bridge engineering and communication studies. Though his citation counts reflect a focused, emerging impact, his work is notable for its early exploration of how specialization cues affect trust and activity in human-robot teams—a question increasingly relevant as robots enter specialized roles in healthcare, education, and service industries.
Research Focus
Key Achievements
Top Papers
- 1Are specialist robots better than generalist robots?12 citations · 2011