Takumi Horie

Keio University Shonan Fujisawa

Papers

1

Total Citations

4

H-Index

1

About

Takumi Horie is a researcher at the forefront of human-robot interaction (HRI), specializing in the nuanced dynamics of many-to-many communication. His work focuses on enabling robots to navigate complex social environments by understanding emotional behaviors and human relationships. Horie’s most cited paper, "Handling Conversation Interruption in Many-to-Many HR Interaction Considering Emotional Behaviors and Human Relationships" (2018, 4 citations), introduces a novel scheduler that allows robots to intelligently manage interruptions and switch between conversational tasks. This contribution addresses a critical gap in HRI: how robots can gracefully handle real-world social interruptions without disrupting group dynamics. By integrating emotional cues and relational context into decision-making, Horie’s research paves the way for more empathetic and socially aware robots. Though early in his career, his work has already garnered attention for its practical implications in future communication robots. Horie’s focus on the intersection of social cognition and robotics positions him as an emerging voice in creating machines that can seamlessly collaborate with humans in shared spaces.

Research Focus

Key Achievements

1
H-Index
1
Papers
4
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Handling Conversation Interruption in Many-to-Many HR Interaction Considering Emotional Behaviors and Human Relationships
4 citations · 2018
📈 Most Prolific Year: 2018 (1 Papers)
🤝 Key Collaborators: 1
🏛 Institutions: Keio University Shonan Fujisawa

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago