"You tell me": A Dataset of GPT-4-Based Behaviour Change Support Conversations
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arXiv
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| Hauptverfasser: | , |
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| Format: | Preprint |
| Veröffentlicht: |
2024
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| _version_ | 1866914493315940352 |
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| author | Meyer, Selina Elsweiler, David |
| author_facet | Meyer, Selina Elsweiler, David |
| contents | Conversational agents are increasingly used to address emotional needs on top of information needs. One use case of increasing interest are counselling-style mental health and behaviour change interventions, with large language model (LLM)-based approaches becoming more popular. Research in this context so far has been largely system-focused, foregoing the aspect of user behaviour and the impact this can have on LLM-generated texts. To address this issue, we share a dataset containing text-based user interactions related to behaviour change with two GPT-4-based conversational agents collected in a preregistered user study. This dataset includes conversation data, user language analysis, perception measures, and user feedback for LLM-generated turns, and can offer valuable insights to inform the design of such systems based on real interactions. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2401_16167 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | "You tell me": A Dataset of GPT-4-Based Behaviour Change Support Conversations Meyer, Selina Elsweiler, David Human-Computer Interaction Computation and Language Conversational agents are increasingly used to address emotional needs on top of information needs. One use case of increasing interest are counselling-style mental health and behaviour change interventions, with large language model (LLM)-based approaches becoming more popular. Research in this context so far has been largely system-focused, foregoing the aspect of user behaviour and the impact this can have on LLM-generated texts. To address this issue, we share a dataset containing text-based user interactions related to behaviour change with two GPT-4-based conversational agents collected in a preregistered user study. This dataset includes conversation data, user language analysis, perception measures, and user feedback for LLM-generated turns, and can offer valuable insights to inform the design of such systems based on real interactions. |
| title | "You tell me": A Dataset of GPT-4-Based Behaviour Change Support Conversations |
| topic | Human-Computer Interaction Computation and Language |
| url | https://arxiv.org/abs/2401.16167 |