Presentation
Role-Aware Virtual Agents for Navigational Interaction guided by a Multimodal Large Language Model
SessionVR, Haptics & Hardware
DescriptionWe present a role-aware virtual agent navigation system that generates consistent, role-aligned behaviors. Using multimodal large language models (MLLMs), our approach interprets scene context, user state, and role-context instructions to produce navigation decisions and stylized paths, enabling agents to respond dynamically and behave coherently in immersive environments such as AR.
Event Type
Technical Paper
TimeWednesday, 22 July 20263:45pm - 3:55pm PDT
LocationRoom 403 A
Digital Library
PDF
Session Time & Location
Sunday, 19 July 20266:00pm - 8:45pm PDTHall K
Wednesday, 22 July 20263:45pm - 5:15pm PDTRoom 403 A
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