A position paper proposing a four-module memory-augmented AR agent framework that uses stored scene graphs of past user experiences to personalize task guidance.
Large language models empowered personalized web agents
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Designing Memory-Augmented AR Agents for Spatiotemporal Reasoning in Personalized Task Assistance
A position paper proposing a four-module memory-augmented AR agent framework that uses stored scene graphs of past user experiences to personalize task guidance.