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| Auteurs principaux: | , , , |
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| Format: | Preprint |
| Publié: |
2024
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| Sujets: | |
| Accès en ligne: | https://arxiv.org/abs/2404.13764 |
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| _version_ | 1866909177371164672 |
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| author | Siyan, Li Shao, Teresa Yu, Zhou Hirschberg, Julia |
| author_facet | Siyan, Li Shao, Teresa Yu, Zhou Hirschberg, Julia |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2404_13764 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Using Adaptive Empathetic Responses for Teaching English Siyan, Li Shao, Teresa Yu, Zhou Hirschberg, Julia Computation and Language 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. |
| title | Using Adaptive Empathetic Responses for Teaching English |
| topic | Computation and Language |
| url | https://arxiv.org/abs/2404.13764 |