Papers
1
Total Citations
300
H-Index
1
About
Bok Cha is a leading researcher in multimodal human-agent interaction, with a primary focus on co-speech gesture generation for virtual avatars and social robots. Their most influential work, "Speech Gesture Generation from the Trimodal Context of Text, Audio, and Speaker Identity" (2020), has garnered over 300 citations, establishing a foundational approach for creating more lifelike and contextually appropriate gestures in embodied agents. Cha’s key contribution lies in integrating three distinct modalities—linguistic content, acoustic prosody, and speaker-specific style—to produce gestures that are not only synchronized with speech but also personalized to the agent’s identity. This work directly addresses the long-standing challenge of making agents appear genuinely alive and engaging in human-agent interaction, moving beyond simple, repetitive motion patterns. By demonstrating how trimodal conditioning can capture the nuanced relationship between what is said, how it is said, and who is speaking, Cha has provided a critical framework for advancing the naturalness and expressiveness of social robots and virtual characters. Their research continues to influence the development of more intuitive and believable interactive systems.
Research Focus
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Top Papers
- 1