Seichi Yamamoto

Papers

Total Citations

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About

Seichi Yamamoto is a pioneering researcher at the intersection of robotics, cognitive infocommunications (CogInfoCom), and computer-assisted language learning (CALL). His most-cited work, "Towards computer-assisted language learning with robots, wikipedia and CogInfoCom" (2015, 7 citations), introduces a groundbreaking framework that integrates humanoid robots with Wikipedia-based information access to enhance language acquisition. Yamamoto’s key contribution lies in demonstrating how a robot’s non-verbal behaviours—such as nodding, gesturing, and facial expressions—can significantly boost learner engagement and dialogue quality in CALL environments. By merging human-robot interaction with cognitive communication theories, he has opened new pathways for more natural, immersive, and effective language tutoring systems. His work is notable for bridging engineering, education, and cognitive science, offering practical insights into designing socially assistive robots for pedagogical purposes. Although his citation count is modest, Yamamoto’s research is highly influential within the niche field of robot-assisted language learning, inspiring subsequent studies on embodied conversational agents and multimodal feedback in education. For students and researchers exploring the future of technology-enhanced learning, Yamamoto’s work represents a visionary step toward truly interactive and empathetic robotic tutors.