EARLL: Embodied AR Language Learning

Active 2023–Present 5 contributors

Project Description

Learning a new language is an exciting and important, yet often challenging journey. To support foreign language acquisition, we introduce EARLL, an embodied and context-aware language learning application for AR glasses. EARLL leverages real-time computer vision and depth sensing to continuously segment and localize objects in users’ surroundings, check for hand-object manipulations, and then subtly trigger foreign vocabulary prompts relevant to that object. In this demo paper, we present our initial EARLL prototype and highlight current challenges and future opportunities with always-available, wearable, embodied AR language learning.
Team
Jaewook Lee · Lead
1 former lead Show fewer
Sieun Kim · Lead
Funding

Publications