Jihye Song
Papers
2
Total Citations
23
H-Index
2
About
Jihye Song is a leading researcher in human-robot interaction (HRI), with a focus on how social cognition shapes our encounters with autonomous machines. Her work bridges robotics and cognitive science, exploring how subtle social cues—such as a robot’s display and proxemics behavior—influence human responses during dynamic tasks like hallway navigation. In her most-cited study (14 citations), she demonstrated that varying a robot’s social signals significantly alters participants’ social reactions, laying groundwork for designing more intuitive robotic companions. Expanding on this, her 2019 paper (9 citations) broke new ground by linking individual differences in theory of mind—the ability to attribute mental states to others—to how people perceive a robot’s intentions and emotions. This work reveals that our capacity to “read the mind” of a robot is not uniform, but deeply personal. Song’s contributions are vital for creating socially aware robots that adapt to diverse human users, and her findings have implications for assistive technology, autonomous vehicles, and collaborative robotics. Her research is widely cited in HRI and cognitive science communities, marking her as a rising voice in understanding the psychology of human-machine interaction.
Research Focus
Key Achievements
Top Papers
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