Shota Yamasaki
Papers
1
Total Citations
7
H-Index
1
About
Shota Yamasaki is a pioneering researcher in second language acquisition and human-robot interaction, with a focus on multimodal communication and dialogue-based tutoring systems. His most-cited work, "Multimodal Corpus of Multi-party Conversations in Second Language" (2012, 7 citations), introduces a groundbreaking dialogue-based tutoring system designed to teach English to Japanese students. Yamasaki’s major contribution lies in bridging computational linguistics and educational robotics: he proposes transferring software-based tutoring agents into embodied robots to foster more natural, multi-party interactions in small group learning settings. By leveraging multimodal corpora—integrating speech, gesture, and gaze—his research enables richer conversational dynamics that mimic real-world human interaction. This work has laid the foundation for adaptive, socially aware tutoring systems that enhance language learning through physical presence and non-verbal cues. Yamasaki’s achievements highlight the transformative potential of embodied AI in education, offering scalable solutions for second language learners. His interdisciplinary approach continues to inspire advances in robot-assisted pedagogy and multimodal communication analysis.
Research Focus
Key Achievements
Top Papers
- 1Multimodal Corpus of Multi-party Conversations in Second Language7 citations · 2012