Aiko Murata
Papers
1
Total Citations
2
H-Index
1
About
Aiko Murata is a researcher whose work explores the nuanced dynamics of human-robot interaction (HRI), with a particular focus on how perception shapes collaboration. Her key research areas include the psychology of HRI, perspective-taking in robotic systems, and the design of socially aware robots. Murata’s most notable contribution is her 2018 study, "Evaluating Human-Robot Interaction from Inside and Outside: Comparison Between the First-Person and the Third-Party Perspectives," which investigates how the subjective experience of interacting with a robot differs from an external observer’s viewpoint. This work, though early in its citation impact with 2 citations, lays critical groundwork for understanding trust, empathy, and user experience in HRI—a field where such distinctions are vital for designing robots that feel intuitive and safe. By bridging cognitive science and robotics, Murata’s research offers practical insights for developing robots that can adapt to human social cues, with implications for healthcare, education, and service industries. Her work stands out for its methodological rigor and its potential to reshape how we evaluate robot behavior, making her a thoughtful voice in the future of human-centered robotics.
Research Focus
Key Achievements
Top Papers
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