Jiayuan Fan

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About

Jiayuan Fan is a rising researcher at the forefront of human-computer interaction and multimodal AI, with a focus on generating natural, controllable human motion from language and visual cues. Her most notable contribution, "MotionChain: Conversational Motion Controllers via Multimodal Prompts" (2024), introduces a groundbreaking framework that enables real-time, conversational control of 3D character animation. By integrating text, speech, and gesture inputs, Fan’s work bridges the gap between natural language understanding and physical motion synthesis, allowing users to guide avatars through complex sequences using simple, interactive dialogue. This innovation has already garnered 10 citations in its first year, signaling strong interest from the graphics, robotics, and gaming communities. Fan’s research pushes the boundaries of embodied AI, making virtual characters more responsive and lifelike. Her achievements highlight a talent for designing intuitive, multimodal interfaces that democratize animation, with potential applications in virtual reality, assistive technology, and digital storytelling. As a young scholar, Fan’s work promises to shape how humans communicate with and through digital bodies.