Kento Koike

Papers

Total Citations

H-Index

About

Kento Koike’s research lies at the intersection of human-robot interaction and educational technology, with a focus on how intelligent systems can enhance learning experiences. His most cited work, "Academic Emotions Affected by Robot Eye Color" (2019, 5 citations), investigates how subtle design features—such as a robot lecturer’s eye color—can influence students’ emotional states, expanding the role of robots beyond mere assistants to emotionally adaptive educators. This pioneering study highlights his interest in manipulability and individual-adaptability in human-robot interaction. Koike also contributes to collaborative learning environments through his work on code-sharing platforms. In "Classroom Practice Using a Code-Sharing Platform to Encourage Refinement Activities" (2023, 2 citations) and "A Knowledge Sharing Platform for Learning from Others’ Code" (2022, 2 citations), he explores how peer code review and sharing can foster iterative improvement and deeper understanding among students. Though his citation counts are modest, Koike’s research is notable for its interdisciplinary approach, blending robotics, psychology, and pedagogy. His work offers valuable insights for designing emotionally responsive educational robots and collaborative coding tools, making him a promising voice in the future of adaptive learning technologies.