Gen Hattori

KDDI Research (Japan)

Papers

2

Total Citations

4

H-Index

2

About

Gen Hattori is a researcher at the intersection of human-robot interaction, natural language processing, and social signal processing. Their work focuses on developing dialogue systems and companion robots that can understand and enhance human communication, particularly in group settings. Hattori's notable contributions include the creation of "KACTUS," an open-domain chatbot integrated into a TV-watching companion robot designed to revive the social experience of shared viewing, addressing modern issues like reduced interpersonal interaction and communication skill deficits. They have also pioneered the "LDNN" (Linguistic Knowledge Injectable Deep Neural Network), a novel architecture that injects linguistic knowledge into deep learning to predict group cohesiveness—a complex social metric reflecting intimacy levels. This work aims to enable dialogue robots to perceive and foster better group dynamics. While their most-cited papers currently hold 2 citations each, these foundational studies represent early-stage, high-potential research in socially-aware AI. Hattori’s work is particularly relevant for students and researchers interested in affective computing, conversational AI, and the design of robots that actively promote human social bonding rather than merely executing tasks.

Research Focus

Key Achievements

2
H-Index
2
Papers
4
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
TV-watching Companion Robot Supported by Open-domain Chatbot “KACTUS”
2 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 15
🏛 Institutions: KDDI Research (Japan)

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago