Enhancing AI-Driven Psychological Consultation: Layered Prompts with Large Language Models
Souza, Rafael, Lim, Jia-Hao, Davis, Alexander
–arXiv.org Artificial Intelligence
Psychological consultation is essential for improving mental health and well-being, yet challenges such as the shortage of qualified professionals and scalability issues limit its accessibility. To address these challenges, we explore the use of large language models (LLMs) like GPT-4 to augment psychological consultation services. Our approach introduces a novel layered prompting system that dynamically adapts to user input, enabling comprehensive and relevant information gathering. We also develop empathy-driven and scenario-based prompts to enhance the LLM's emotional intelligence and contextual understanding in therapeutic settings. We validated our approach through experiments using a newly collected dataset of psychological consultation dialogues, demonstrating significant improvements in response quality. The results highlight the potential of our prompt engineering techniques to enhance AI-driven psychological consultation, offering a scalable and accessible solution to meet the growing demand for mental health support.
arXiv.org Artificial Intelligence
Aug-29-2024
- Country:
- North America > United States (0.04)
- South America > Brazil
- Federal District > Brasília (0.04)
- Genre:
- Research Report > New Finding (0.68)
- Industry:
- Technology: