Takuya Ishihara
Papers
2
Total Citations
13
H-Index
2
About
Takuya Ishihara is a leading researcher in social robotics and human-robot interaction, with a focus on developing conversational robots that can perceive and respond to human social signals. His work centers on the key research areas of multimodal interaction, nonverbal behavior sensing, and adaptive dialogue systems. Ishihara’s major contributions include pioneering methods for recognizing a speaker’s speaking willingness in real time—a critical step toward more natural and empathetic human-robot communication. In his highly cited 2018 study, he introduced a prediction model that fuses verbal, audio, and visual cues to estimate interviewee willingness, building a novel multimodal interaction corpus with dual annotation sets. This foundational work, cited 6 times, laid the groundwork for his 2023 paper on adaptive interview strategies, which achieved 7 citations and demonstrated how robots can dynamically adjust their behavior based on inferred internal states. Ishihara’s research has significant implications for interview robots, therapy assistants, and educational agents, enabling machines to engage in more socially aware interactions. His achievements highlight a promising trajectory in creating robots that truly understand human communicative intent.
Research Focus
Key Achievements
Top Papers
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