Taisei Najima
Papers
1
Total Citations
2
H-Index
1
About
Taisei Najima is a researcher at the intersection of human-robot interaction and second-language acquisition, with a focus on leveraging embodied agents to enhance communicative competence. His most-cited work, "Remote Learning of Speaking in Syntactic Forms with Robot-Avatar-Assisted Language Learning System" (2021), introduces a novel platform that combines teleoperated robots and digital avatars to scaffold spoken language practice. By enabling learners to physically interact with a robot while receiving real-time syntactic feedback through an avatar, Najima’s system addresses the critical gap in remote language education: the lack of embodied, conversational practice. Though early in his career—with his flagship paper accumulating 2 citations to date—his research lays foundational groundwork for scalable, socially interactive tools that bridge physical presence and digital instruction. Najima’s contributions are particularly timely as education shifts toward hybrid models, and his work has been presented at venues like the International Conference on Human-Agent Interaction. His approach promises to democratize access to immersive speaking practice, making him a rising voice in the design of pedagogically sound, technology-mediated learning environments.
Research Focus
Key Achievements
Top Papers
- 1