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ARLang: An Outdoor Augmented Reality Application for Portuguese Vocabulary Learning

Authors :
Caetano, Arthur
Lawson, Alyssa
Liu, Yimeng
Sra, Misha
Source :
In Proceedings of the 2023 ACM Designing Interactive Systems Conference (pp. 1224-1235)
Publication Year :
2024

Abstract

With recent computer vision techniques and user-generated content, we can augment the physical world with metadata that describes attributes, such as names, geo-locations, and visual features of physical objects. To assess the benefits of these potentially ubiquitous labels for foreign vocabulary learning, we built a proof-of-concept system that displays bilingual text and sound labels on physical objects outdoors using augmented reality. Established tools for language learning have focused on effective content delivery methods such as books and flashcards. However, recent research and consumer learning tools have begun to focus on how learning can become more mobile, ubiquitous, and desirable. To test whether our system supports vocabulary learning, we conducted a preliminary between-subjects (N=44) study. Our results indicate that participants preferred learning with virtual labels on real-world objects outdoors over learning with flashcards. Our findings motivate further investigation into mobile AR-based learning systems in outdoor settings.

Details

Database :
arXiv
Journal :
In Proceedings of the 2023 ACM Designing Interactive Systems Conference (pp. 1224-1235)
Publication Type :
Report
Accession number :
edsarx.2411.05211
Document Type :
Working Paper
Full Text :
https://doi.org/10.1145/3563657.3596090