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AR Secretary Agent: Real-time Memory Augmentation via LLM-powered Augmented Reality Glasses

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arxiv 2505.11888 v1 pith:QPVDCTLV submitted 2025-05-17 cs.HC

Raphaël A. El Haddad , Zeyu Wang , Yeonsu Shin , Ranyi Liu , Yuntao Wang , Chun Yu This is my paper · ORCID
classification cs.HC
keywords secretaryagentaugmentedglassesmemoryreal-timerealityadvanced
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Interacting with a significant number of individuals on a daily basis is commonplace for many professionals, which can lead to challenges in recalling specific details: Who is this person? What did we talk about last time? The advant of augmented reality (AR) glasses, equipped with visual and auditory data capture capabilities, presents a solution. In our work, we implemented an AR Secretary Agent with advanced Large Language Models (LLMs) and Computer Vision technologies. This system could discreetly provide real-time information to the wearer, identifying who they are conversing with and summarizing previous discussions. To verify AR Secretary, we conducted a user study with 13 participants and showed that our technique can efficiently help users to memorize events by up to 20\% memory enhancement on our study.

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Cited by 1 Pith paper

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  1. Designing Memory-Augmented AR Agents for Spatiotemporal Reasoning in Personalized Task Assistance

    cs.AI 2025-08 conditional novelty 5.0 of 10

    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.

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