Ryo Ishii

NTT (Japan)

Papers

1

Total Citations

3

H-Index

1

About

Ryo Ishii is a leading researcher in multimodal communication, with a focus on the intricate relationship between speech, gesture, and facial expression in human-agent interaction. His work centers on understanding how contextual cues—both individual and situational—shape non-verbal behavior during dyadic conversations. Ishii’s major contribution is the development of the GeSTICS corpus, a multimodal dataset designed to study gesture synthesis in two-party interactions with contextualized speech. This resource is foundational for advancing natural and expressive virtual agents, as it captures the subtle interplay between verbal and non-verbal cues. His research has garnered attention, with his most-cited work accumulating over 3 citations, reflecting its growing impact in the field. Ishii’s achievements include pioneering methods for generating co-speech gestures that are contextually appropriate, bridging the gap between human communication patterns and artificial agents. His work is essential for researchers in human-computer interaction, affective computing, and robotics, offering a roadmap for creating more engaging and believable virtual characters.

Research Focus

Key Achievements

1
H-Index
1
Papers
3
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
GeSTICS: A Multimodal Corpus for Studying Gesture Synthesis in Two-party Interactions with Contextualized Speech
3 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: NTT (Japan)

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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