AiGet: Transforming Everyday Moments into Hidden Knowledge Discovery with AI Assistance on Smart Glasses
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Abstract (arXiv)
Unlike the free exploration of childhood, the demands of daily life reduce our motivation to explore our surroundings, leading to missed opportunities for informal learning. Traditional tools for knowledge acquisition are reactive, relying on user initiative and limiting their ability to uncover hidden interests. Through formative studies, we introduce AiGet, a proactive AI assistant integrated with AR smart glasses, designed to seamlessly embed informal learning into low-demand daily activities (e.g., casual walking and shopping). AiGet analyzes real-time user gaze patterns, environmental context, and user profiles, leveraging large language models to deliver personalized, context-aware knowledge with low disruption to primary tasks. In-lab evaluations and real-world testing, including continued use over multiple days, demonstrate AiGet's effectiveness in uncovering overlooked yet surprising interests, enhancing primary task enjoyment, reviving curiosity, and deepening connections with the environment. We further propose design guidelines for AI-assisted informal learning, focused on transforming everyday moments into enriching learning experiences.
Key facts. Cited by 11 papers in the map (data through 7 Oct 2026). First posted on arXiv 27 Jan 2025.
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Citing papers per year: 2025: 5; 2026: 6.
11 papers.
- 2025AI for Service: Proactive Assistance with AI Glassescited by 18
- 2025ProMemAssist: Exploring Timely Proactive Assistance Through Working Memory Modeling in Multi-Modal Wearable Devicescited by 13
- 2025ProactiveEval: A Unified Evaluation Framework for Proactive Dialogue Agentscited by 9
- 2025Interaction as Intelligence: Deep Research With Human-AI Partnershipcited by 5
- 2026VisionClaw: Always-On AI Agents through Smart Glassescited by 4
- 2026SpeechLess: Micro-utterance with Personalized Spatial Memory-aware Assistant in Everyday Augmented Realitycited by 3
- 2026Seeing Eye to Eye: Enabling Cognitive Alignment Through Shared First-Person Perspective in Human-AI Collaborationcited by 3
- 2025Through Their Eyes: User Perceptions on Sensitive Attribute Inference of Social Media Videos by Visual Language Modelscited by 1
- 2026Memento: Towards Proactive Visualization of Everyday Memories with Personal Wearable AR Assistantcited by 1
- 2026R4DSG: Relative 4D Scene Graph Memory for Object-Centric Question Answering in Long Egocentric Videocited by 1
- 2026AI Smart Glasses for Wearable Intelligence: From Egocentric Sensing to Agentic Personalizationcited by 0
- 2026AI Smart Glasses for Wearable Intelligence: From Egocentric Sensing to Agentic Personalization17 Sep 2026
- 2026R4DSG: Relative 4D Scene Graph Memory for Object-Centric Question Answering in Long Egocentric Video11 Aug 2026
- 2026VisionClaw: Always-On AI Agents through Smart Glasses3 Apr 2026
- 2026Seeing Eye to Eye: Enabling Cognitive Alignment Through Shared First-Person Perspective in Human-AI Collaboration13 Mar 2026
- 2026SpeechLess: Micro-utterance with Personalized Spatial Memory-aware Assistant in Everyday Augmented Reality31 Jan 2026
- 2026Memento: Towards Proactive Visualization of Everyday Memories with Personal Wearable AR Assistant24 Jan 2026
- 2025AI for Service: Proactive Assistance with AI Glasses16 Oct 2025
- 2025ProactiveEval: A Unified Evaluation Framework for Proactive Dialogue Agents28 Aug 2025
- 2025Through Their Eyes: User Perceptions on Sensitive Attribute Inference of Social Media Videos by Visual Language Models11 Aug 2025
- 2025ProMemAssist: Exploring Timely Proactive Assistance Through Working Memory Modeling in Multi-Modal Wearable Devices28 Jul 2025
- 2025Interaction as Intelligence: Deep Research With Human-AI Partnership21 Jul 2025