EDEN: Empathetic Dialogues for English learning

التفاصيل البيبلوغرافية
العنوان: EDEN: Empathetic Dialogues for English learning
المؤلفون: Siyan, Li, Shao, Teresa, Yu, Zhou, Hirschberg, Julia
سنة النشر: 2024
المجموعة: Computer Science
مصطلحات موضوعية: Computer Science - Computation and Language
الوصف: Dialogue systems have been used as conversation partners in English learning, but few have studied whether these systems improve learning outcomes. Student passion and perseverance, or grit, has been associated with language learning success. Recent work establishes that as students perceive their English teachers to be more supportive, their grit improves. Hypothesizing that the same pattern applies to English-teaching chatbots, we create EDEN, a robust open-domain chatbot for spoken conversation practice that provides empathetic feedback. To construct EDEN, we first train a specialized spoken utterance grammar correction model and a high-quality social chit-chat conversation model. We then conduct a preliminary user study with a variety of strategies for empathetic feedback. Our experiment suggests that using adaptive empathetic feedback leads to higher perceived affective support, which, in turn, predicts increased student grit.
نوع الوثيقة: Working Paper
URL الوصول: http://arxiv.org/abs/2406.17982
رقم الأكسشن: edsarx.2406.17982
قاعدة البيانات: arXiv