AR Secretary Agent: Real-time Memory Augmentation via LLM-powered Augmented Reality Glasses
May 17, 2025 Β· Declared Dead Β· π arXiv.org
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Authors
RaphaΓ«l A. El Haddad, Zeyu Wang, Yeonsu Shin, Ranyi Liu, Yuntao Wang, Chun Yu
arXiv ID
2505.11888
Category
cs.HC: Human-Computer Interaction
Citations
1
Venue
arXiv.org
Last Checked
4 months ago
Abstract
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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