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Virtual Agents for Alcohol Use Counseling: Exploring LLM-Powered Motivational Interviewing (2407.08095v1)

Published 10 Jul 2024 in cs.HC and cs.CL

Abstract: We introduce a novel application of 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.

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Authors (4)
  1. Ian Steenstra (5 papers)
  2. Farnaz Nouraei (5 papers)
  3. Mehdi Arjmand (4 papers)
  4. Timothy W. Bickmore (3 papers)
Citations (1)