Takahito Tomoto

Papers

Total Citations

H-Index

About

Takahito Tomoto is a researcher at the intersection of human-robot interaction and educational technology, with a focus on how technology can enhance learning experiences. His work explores the affective and cognitive dimensions of learning environments, particularly through the design of robotic lecturers and collaborative coding platforms. Tomoto’s most cited paper, “Academic Emotions Affected by Robot Eye Color” (2019, 5 citations), investigates how subtle design features—such as a robot’s eye color—can influence students’ emotional states during lectures, expanding the role of robots beyond mere content delivery to emotionally adaptive teaching. This work contributes to the growing field of socially assistive robotics in education. He also advances programming pedagogy through platforms like “A Knowledge Sharing Platform for Learning from Others’ Code” (2022, 2 citations) and “Classroom Practice Using a Code-Sharing Platform to Encourage Refinement Activities” (2023, 2 citations), which promote collaborative learning and iterative code improvement. Though his citation counts are modest, Tomoto’s research is notable for its innovative integration of robotics and peer-learning tools, offering practical insights for designing adaptive, student-centered educational technologies.