cARdLearner: Using Expressive Virtual Agents when Learning Vocabulary in Augmented Reality
cARdLearner: Using Expressive Virtual Agents when Learning Vocabulary in Augmented Reality
复制标题
cARDLearner：在增强现实中学习词汇时使用富有表现力的虚拟代理
DOI：
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发表时间：
2022
期刊：
影响因子：
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通讯作者：
M. Sedlmair
中科院分区：
文献类型：
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作者：
Aimée Sousa Calepso;Natalie Hube;Noah Berenguel Senn;Vincent Brandt;M. Sedlmair
增强现实 (AR) 具有广泛的应用范围，包括语言教学。在学习外语时，学习者面临的最大挑战之一是记住新词汇。虽然增强全息图是支持这种记忆过程的一种有前景的方法，但很少有研究探索它们在语言学习环境中的潜力。我们展示了使用抽认卡和表达性全息代理进行词汇学习的可能性。用户扫描抽认卡并播放与他们所看到的单词相关的情感相关的动画。我们的目标是提出一种传统使用抽认卡的替代方案，并引入另一种在关联过程中使用 AR 的方式。
Augmented reality (AR) has a diverse range of applications, including language teaching. When studying a foreign language, one of the biggest challenges learners face is memorizing new vocabulary. While augmented holograms are a promising means of supporting this memorization process, few studies have explored their potential in the language learning context. We demonstrate the possibility of using flashcard along with an expressive holographic agent on vocabulary learning. Users scan a flashcard and play an animation that is connected with an emotion related to the word they are seeing. Our goal is to propose an alternative to the traditional use of flashcards, and also introduce another way of using AR in the association process.