Papers

1

Total Citations

2

H-Index

1

About

Ryuto Matsusaka is a pioneering researcher at the intersection of human-robot interaction and music education, with a particular focus on how social robots can enhance adult learning experiences. His most-cited work, "Effects of Listening Behaviors of a Social Robot on Adult’s Motivation and Performance in Piano Practice" (2024, 2 citations), challenges the prevailing focus on children and verbal praise in robot-assisted learning. Matsusaka’s key contribution lies in demonstrating that non-verbal listening behaviors—such as nodding, eye contact, and posture—from a social robot can significantly boost adult learners' motivation and performance during piano practice. This finding opens new avenues for designing more effective, non-intrusive robotic tutors for adult skill acquisition. By shifting the spotlight from child-centric studies to adult learners and from verbal to non-verbal cues, Matsusaka’s work has laid a critical foundation for future research in adaptive robotic companionship. His research not only advances the field of social robotics but also offers practical insights for educators and technologists aiming to create supportive, engaging learning environments for adults.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Effects of Listening Behaviors of a Social Robot on Adult’s Motivation and Performance in Piano Practice
2 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: Advanced Telecommunications Research Institute International

Top Papers

  1. 1

Key Collaborators

Contact & Links

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