用动漫角色对话提升日语学习趣味性，增强学习者表达意愿。
Animating Language Practice: Engagement with Stylized Conversational Agents in Japanese Learning
- 结合大模型与动漫风格角色，打造沉浸式对话练习场景。
- 52名学习者参与两周测试，高级学员更积极使用多样表达。
- 动漫风格显著提升学习愉悦感，适合注重体验的语言学习者。
我们探索了Jouzu这一日语学习应用，该应用将大型语言模型与动漫风格对话代理相结合，旨在解决学习者在自然、富有表现力的对话练习中面临的挑战。Jouzu通过拟人化角色和富有表现力的文本转语音技术，创造引人入胜的对话情境。我们对52名日语学习者进行了为期两周的真实环境部署实验，结果表明参与者互动频繁且富有创造性，高级学习者更倾向于使用多样化的语言表达。学习者反馈显示，动漫风格使练习更具吸引力，并鼓励尝试不同语体。本文探讨了风格化设计如何影响参与意愿、情感在持续练习中的作用，以及面向文化背景的对话式AI在计算机辅助语言学习（CALL）中的设计机遇。研究以设计与参与度为核心，提出可跨语言推广的实践启示，为国际HCI研究提供支持。
原文摘要 · Abstract (English)
We explore Jouzu, a Japanese language learning application that integrates large language models with anime-inspired conversational agents. Designed to address challenges learners face in practicing natural and expressive dialogue, Jouzu combines stylized character personas with expressive text-to-speech to create engaging conversational scenarios. We conducted a two-week in-the-wild deployment with 52 Japanese learners to examine how such stylized agents influence engagement and learner experience. Our findings show that participants interacted frequently and creatively, with advanced learners demonstrating greater use of expressive forms. Participants reported that the anime-inspired style made practice more enjoyable and encouraged experimenting with different registers. We discuss how stylization shapes willingness to engage, the role of affect in sustaining practice, and design opportunities for culturally grounded conversational AI in computer-assisted language learning (CALL). By framing our findings as an exploration of design and engagement, we highlight opportunities for generalization beyond Japanese contexts and contribute to international HCI scholarship.
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