Virtual Agents for Alcohol Use Counseling: Exploring LLM-Powered Motivational Interviewing
Fuente:
arXiv
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| Autori principali: | , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2024
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| Soggetti: | |
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| _version_ | 1866916319893389312 |
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| author | Steenstra, Ian Nouraei, Farnaz Arjmand, Mehdi Bickmore, Timothy W. |
| author_facet | Steenstra, Ian Nouraei, Farnaz Arjmand, Mehdi Bickmore, Timothy W. |
| contents | We introduce a novel application of large language models (LLMs) in developing a virtual counselor capable of conducting motivational interviewing (MI) for alcohol use counseling. Access to effective counseling remains limited, particularly for substance abuse, and virtual agents offer a promising solution by leveraging LLM capabilities to simulate nuanced communication techniques inherent in MI. Our approach combines prompt engineering and integration into a user-friendly virtual platform to facilitate realistic, empathetic interactions. We evaluate the effectiveness of our virtual agent through a series of studies focusing on replicating MI techniques and human counselor dialog. Initial findings suggest that our LLM-powered virtual agent matches human counselors' empathetic and adaptive conversational skills, presenting a significant step forward in virtual health counseling and providing insights into the design and implementation of LLM-based therapeutic interactions. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2407_08095 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Virtual Agents for Alcohol Use Counseling: Exploring LLM-Powered Motivational Interviewing Steenstra, Ian Nouraei, Farnaz Arjmand, Mehdi Bickmore, Timothy W. Human-Computer Interaction Computation and Language We introduce a novel application of large language models (LLMs) in developing a virtual counselor capable of conducting motivational interviewing (MI) for alcohol use counseling. Access to effective counseling remains limited, particularly for substance abuse, and virtual agents offer a promising solution by leveraging LLM capabilities to simulate nuanced communication techniques inherent in MI. Our approach combines prompt engineering and integration into a user-friendly virtual platform to facilitate realistic, empathetic interactions. We evaluate the effectiveness of our virtual agent through a series of studies focusing on replicating MI techniques and human counselor dialog. Initial findings suggest that our LLM-powered virtual agent matches human counselors' empathetic and adaptive conversational skills, presenting a significant step forward in virtual health counseling and providing insights into the design and implementation of LLM-based therapeutic interactions. |
| title | Virtual Agents for Alcohol Use Counseling: Exploring LLM-Powered Motivational Interviewing |
| topic | Human-Computer Interaction Computation and Language |
| url | https://arxiv.org/abs/2407.08095 |