Masafumi Kumata
Papers
2
Total Citations
7
H-Index
2
About
Masafumi Kumata is a researcher focused on the intersection of human-robot collaboration and computational linguistics, with a particular emphasis on how speech patterns evolve during collaborative work. His work addresses a fundamental challenge in robotics: making assistive robots more adaptive to natural human communication. In his most cited paper, "Human speech ontology changes in virtual collaborative work" (2011, 4 citations), Kumata analyzed speech produced during human-human virtual collaborative conveyor tasks, transcribing and computing morphemes to identify key features of collaborative dialogue. His follow-up study, "Relation between skill acquisition and task specific human speech in collaborative work" (2011, 3 citations), further explored how speech changes as participants become more skilled at collaborative tasks. Though his citation counts are modest, Kumata's research contributes to the foundational understanding of task-specific human speech, providing essential insights for developing robots that can interpret and respond to human verbal cues in real-time collaborative settings. His work represents an important step toward more intuitive human-robot interaction in industrial and assistive contexts.
Research Focus
Key Achievements
Top Papers
- 1Human speech ontology changes in virtual collaborative work4 citations · 2011
- 2