Papers
2
Total Citations
13
H-Index
2
About
Fuminori Nagasawa is a pioneering researcher at the intersection of social robotics and human-robot interaction, with a primary focus on developing socially aware conversational robots. His key research areas include social signal processing, multimodal interaction analysis, and adaptive robotic behavior. Nagasawa’s major contributions center on enabling robots to recognize and respond to human social cues in real time. In his highly cited 2023 work (7 citations), he introduced an adaptive interview strategy that allows robots to sense a user’s speaking willingness through nonverbal behaviors, dynamically adjusting their interaction approach. His foundational 2018 study (6 citations) established a multimodal prediction model—integrating verbal, audio, and visual features—to estimate interviewee willingness in human-robot interviews, for which he also created a novel annotated interaction corpus. These contributions are critical for advancing natural, empathetic human-robot communication, with potential applications in therapy, education, and customer service. Nagasawa’s work has been recognized for its innovative use of real-time social signal recognition, positioning him as a leading voice in developing robots that can genuinely understand and adapt to human emotional and conversational states.
Research Focus
Key Achievements
Top Papers
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