ARLang: An Outdoor Augmented Reality Application for Portuguese Vocabulary Learning

Arthur Caetano, Alyssa P. Lawson, Yimeng Liu, Misha Sra
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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.
ARLang:一个用于葡萄牙语词汇学习的户外增强现实应用
利用最近的计算机视觉技术和用户生成的内容,我们可以用描述属性(如名称、地理位置和物理对象的视觉特征)的元数据来增强物理世界。为了评估这些可能无处不在的标签对外语词汇学习的好处,我们建立了一个概念验证系统,该系统使用增强现实技术在户外的物理对象上显示双语文本和声音标签。现有的语言学习工具侧重于有效的内容传递方法,如书籍和抽认卡。然而,最近的研究和消费者学习工具已经开始关注学习如何变得更具移动性、无处不在和可取。为了测试我们的系统是否支持词汇学习,我们进行了初步的受试者间研究(N=44)。我们的研究结果表明,与使用抽认卡学习相比,参与者更喜欢使用户外现实世界物体上的虚拟标签进行学习。我们的发现激发了对户外环境中基于ar的移动学习系统的进一步研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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