AiGet: Transforming Everyday Moments into Hidden Knowledge Discovery with AI Assistance on Smart Glasses

要旨

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.

著者
Runze Cai
National University of Singapore, Singapore, Singapore
Nuwan Janaka
National University of Singapore, Singapore, Singapore
Hyeongcheol Kim
National University of Singapore, Singapore , Singapore
Yang Chen
National University of Singapore, Singapore, Singapore
Shengdong Zhao
City University of Hong Kong, Hong Kong, China
Yun Huang
University of Illinois at Urbana-Champaign, Champaign, Illinois, United States
David Hsu
National University of Singapore, Singapore, Singapore
DOI

10.1145/3706598.3713953

論文URL

https://dl.acm.org/doi/10.1145/3706598.3713953

動画

会議: CHI 2025

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2025.acm.org/)

セッション: Knowledge Work

G416+G417
6 件の発表
2025-04-30 23:10:00
2025-05-01 00:40:00
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