Abstract
Existing English-teaching chatbots rarely incorporate empathy explicitly in their feedback, but empathetic feedback could help keep students engaged and reduce learner anxiety. Toward this end, we propose the task of negative emotion detection via audio, for recognizing empathetic feedback opportunities in language learning. We then build the first spoken English-teaching chatbot with adaptive, empathetic feedback. This feedback is synthesized through automatic prompt optimization of ChatGPT and is evaluated with English learners. We demonstrate the effectiveness of our system through a preliminary user study.
Abstract (translated)
目前,英语教学聊天机器人很少明确地在其反馈中包含情感,但是情感反馈可以帮助保持学生们的参与度,减轻学习焦虑。为此,我们提出了一个通过音频检测消极情绪的任务,以识别语言学习中情感反馈的机会。然后,我们构建了第一个带有自适应和情感反馈的英语教学聊天机器人。通过ChatGPT的自动提示优化来合成这种反馈,并使用英语学习者进行评估。我们通过初步用户研究来展示我们系统的有效性。
URL
https://arxiv.org/abs/2404.13764