Nambiar Shruti Surendrakumar
Papers
1
Total Citations
5
H-Index
1
About
Shruti Surendrakumar Nambiar is a pioneering researcher at the intersection of human-robot interaction, educational technology, and game-based learning. Her work explores how social robots can serve as engaging pedagogical tools, particularly through immersive, narrative-driven experiences. Her most-cited paper, "Virtual or Physical? Social Robots Teaching a Fictional Language Through a Role-Playing Game Inspired by Game of Thrones" (2019), investigates the comparative effectiveness of physical versus virtual robots in language acquisition. By designing a role-playing game that leverages the cultural phenomenon of *Game of Thrones*, Nambiar demonstrates how fictional worlds can motivate learners and enhance retention. This study, with 5 citations, is a foundational contribution to the emerging field of robot-assisted language learning, highlighting the importance of embodiment and storytelling in educational robotics. Nambiar’s work bridges cognitive science, artificial intelligence, and curriculum design, offering practical insights for developing interactive, personalized learning environments. Her research not only advances theoretical understanding but also provides actionable frameworks for educators and technologists aiming to integrate social robots into classrooms.
Research Focus
Key Achievements
Top Papers
- 1