EDEN：面向英语学习的共情对话系统
EDEN: Empathetic Dialogues for English learning
AI总结：
本文构建了面向英语口语练习的共情聊天机器人EDEN，结合口语语法纠正与闲聊模型，并通过用户研究证明自适应共情反馈能提升感知情感支持，且与学习者坚毅品质正相关。
摘要：
对话系统已被用作英语学习中的对话伙伴，但很少有研究探讨这些系统是否真正改善了学习效果。学生的热情与毅力（即坚毅品质，grit）与语言学习的成功密切相关。近期研究表明，当学生感受到英语教师更具支持性时，他们的坚毅品质会得到提升。基于同样的模式可能适用于英语教学聊天机器人这一假设，我们构建了 EDEN，一个用于口语对话练习的稳健开放域聊天机器人，能够提供共情反馈。为构建 EDEN，我们首先训练了一个专门的口语语法纠正模型和一个高质量的社交闲聊对话模型。随后，我们开展了一项初步用户研究，尝试了多种共情反馈策略。实验结果表明，采用自适应共情反馈能够带来更高的感知情感支持。此外，感知情感支持的多个要素与学生的坚毅品质呈正相关。
英文摘要：
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. Furthermore, elements of perceived affective support positively correlate with student grit.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
