Julian Tobergte
Papers
1
Total Citations
5
H-Index
1
About
Julian Tobergte explores the intersection of human-robot interaction, educational technology, and game-based learning. His most cited work, "Virtual or Physical? Social Robots Teaching a Fictional Language Through a Role-Playing Game Inspired by Game of Thrones" (2019), investigates how the physical presence of a social robot versus a virtual agent influences language acquisition. By designing an immersive role-playing game that teaches a fictional language, Tobergte demonstrates that physical robots can enhance learner engagement and motivation, offering a novel pathway for integrating embodied AI into educational settings. This research, with 5 citations, contributes to debates on the comparative effectiveness of robotic versus digital tutors. Tobergte’s work is notable for its creative fusion of pop culture, game design, and robotics, providing a replicable framework for future studies in human-robot teaching dynamics. His findings have implications for developing more interactive and socially responsive educational tools, positioning him as an emerging voice in the field of social robotics and pedagogical innovation.
Research Focus
Key Achievements
Top Papers
- 1