AR Secretary Agent: Real-time Memory Augmentation via LLM-powered Augmented Reality Glasses
Not on the map. Why?
Abstract (arXiv)
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.
Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). First posted on arXiv 17 May 2025.
Builds on
No reference list yet.
Built on by
Citing papers per year: 2025: 1; 2026: 1.
2 papers.
Similar, not cited
Close in wording, no citation either way
- 2026EgoVoice: Proactive Spoken Assistance from Egocentric Multimodal Streams
- 2025YETI (YET to Intervene) Proactive Interventions by Multimodal AI Agents in Augmented Reality Tasks
- 2023Encode-Store-Retrieve: Augmenting Human Memory through Language-Encoded Egocentric Perception
- 2025ARbiter: Generating Dialogue Options and Communication Support in Augmented Reality ↗
- 2025MemPal: Leveraging Multimodal AI and LLMs for Voice-Activated Object Retrieval in Homes of Older Adults
- 2025ConversAR: Exploring Embodied LLM-Powered Group Conversations in Augmented Reality for Second Language Learners
- 2025Sensible Agent: A Framework for Unobtrusive Interaction with Proactive AR Agents
- 2024SocialMind: LLM-based Proactive AR Social Assistive System with Human-like Perception for In-situ Live Interactions