Papers
5
Total Citations
16
H-Index
3
About
Rezaul Tutul is a pioneering researcher at the intersection of educational technology and human-robot interaction (HRI), with a focused expertise in designing game-based learning systems that leverage humanoid robots. His work centers on using robots like Pepper to create multimodal, sound-driven educational games that enhance learner motivation, engagement, and enjoyment. Tutul’s major contributions include developing a sound-based first-responder detection mechanism for fair quiz games, integrating gamified multimodal feedback, and programming robots to recognize non-verbal audio cues for interactive learning. His case study on the “Make or Do” English grammar game demonstrated how humanoid robots can facilitate language acquisition through dynamic, multimodal interaction. With his most-cited papers accumulating 16 citations, Tutul’s research has been recognized for its innovative approach to blending robotics with pedagogy, notably in his 2025 work on sound-driven robot quiz systems and his 2024 framework for gamified HRI. His achievements include advancing the use of non-verbal sound detection in educational robotics, making learning more accessible and engaging for students. Tutul’s work stands out for its practical applications in classroom settings, offering a blueprint for future interactive learning environments.
Research Focus
Key Achievements
Top Papers
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