A Multi-Agent Dual Dialogue System to Support Mental Health Care Providers
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arXiv
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| Main Authors: | , , , , , , , , , , , |
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866929608262156288 |
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| author | Kampman, Onno P. Phang, Ye Sheng Han, Stanley Xing, Michael Hong, Xinyi Hoosainsah, Hazirah Tan, Caleb Winata, Genta Indra Wang, Skyler Heaukulani, Creighton Weng, Janice Huiqin Morris, Robert JT |
| author_facet | Kampman, Onno P. Phang, Ye Sheng Han, Stanley Xing, Michael Hong, Xinyi Hoosainsah, Hazirah Tan, Caleb Winata, Genta Indra Wang, Skyler Heaukulani, Creighton Weng, Janice Huiqin Morris, Robert JT |
| contents | We introduce a general-purpose, human-in-the-loop dual dialogue system to support mental health care professionals. The system, co-designed with care providers, is conceptualized to assist them in interacting with care seekers rather than functioning as a fully automated dialogue system solution. The AI assistant within the system reduces the cognitive load of mental health care providers by proposing responses, analyzing conversations to extract pertinent themes, summarizing dialogues, and recommending localized relevant content and internet-based cognitive behavioral therapy exercises. These functionalities are achieved through a multi-agent system design, where each specialized, supportive agent is characterized by a large language model. In evaluating the multi-agent system, we focused specifically on the proposal of responses to emotionally distressed care seekers. We found that the proposed responses matched a reasonable human quality in demonstrating empathy, showing its appropriateness for augmenting the work of mental health care providers. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2411_18429 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | A Multi-Agent Dual Dialogue System to Support Mental Health Care Providers Kampman, Onno P. Phang, Ye Sheng Han, Stanley Xing, Michael Hong, Xinyi Hoosainsah, Hazirah Tan, Caleb Winata, Genta Indra Wang, Skyler Heaukulani, Creighton Weng, Janice Huiqin Morris, Robert JT Human-Computer Interaction We introduce a general-purpose, human-in-the-loop dual dialogue system to support mental health care professionals. The system, co-designed with care providers, is conceptualized to assist them in interacting with care seekers rather than functioning as a fully automated dialogue system solution. The AI assistant within the system reduces the cognitive load of mental health care providers by proposing responses, analyzing conversations to extract pertinent themes, summarizing dialogues, and recommending localized relevant content and internet-based cognitive behavioral therapy exercises. These functionalities are achieved through a multi-agent system design, where each specialized, supportive agent is characterized by a large language model. In evaluating the multi-agent system, we focused specifically on the proposal of responses to emotionally distressed care seekers. We found that the proposed responses matched a reasonable human quality in demonstrating empathy, showing its appropriateness for augmenting the work of mental health care providers. |
| title | A Multi-Agent Dual Dialogue System to Support Mental Health Care Providers |
| topic | Human-Computer Interaction |
| url | https://arxiv.org/abs/2411.18429 |