Interactive Agents: Simulating Counselor-Client Psychological Counseling via Role-Playing LLM-to-LLM Interactions
arXiv:2408.15787v2 Announce Type: replace Abstract: Creating effective dialogue systems for mental health support requires high-quality multi-turn counseling dialogue data, yet collecting real counselor-client conversations presents significant challenges, including privacy concerns, high costs, and limited scalability. We present \textbf{Interactive Agents}, a novel framework that simulates naturalistic counseling dialogues through controlled LLM-to-LLM interactions. The framework introduces two key innovations: (1) a personalized client agent that maintains consistent psychological character
The rapid advancement of LLMs enables more sophisticated and nuanced simulations of human interaction, making such agent-based applications feasible. There is an increasing demand for scalable and accessible mental health support that traditional methods struggle to meet.
This development indicates a pathway to automate and scale complex human-centric services like psychological counseling, potentially transforming mental healthcare delivery and data collection methodologies. It highlights the growing capability of AI to simulate nuanced human roles accurately.
The ability to generate high-quality, multi-turn counseling dialogue data through LLM-to-LLM interactions significantly reduces previous barriers related to privacy, cost, and scalability in mental health research and development. It moves beyond simple chatbot interactions to more personalized and consistent character simulations.
- · AI researchers
- · Mental healthcare platforms
- · Dialogue system developers
- · Healthcare data providers
- · Traditional data collection methods
- · Certain low-tech mental health support services
The framework provides a scalable method for generating synthetic counseling data, accelerating research and development in mental health AI.
This could lead to the development of more effective and personalized AI-driven mental health support tools, enhancing accessibility globally.
The success of agentic simulation in a sensitive domain like mental health may pave the way for AI agents to simulate other complex human interactions, impacting various service industries.
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