用提示工程让AI模拟稳定人格，助力变性语音治疗教学
Can AI Have a Personality? Prompt Engineering for AI Personality Simulation: A Chatbot Case Study in Gender-Affirming Voice Therapy Training
- 通过精心设计提示词，让AI保持一致的人格特征
- 模拟出符合大五人格的32岁跨性别女性角色
- 适合语音治疗师培训与人机交互研究者参考
本论文探究大型语言模型（LLMs）是否可通过提示工程实现稳定人格模拟。研究以一名面向言语语言病理学（SLP）学生训练的聊天机器人为例，聚焦于性别认同语音治疗场景。该聊天机器人名为Monae Jackson，设定为32岁跨性别女性，用于模拟真实客户-治疗师对话。结果显示，经提示工程优化后，聊天机器人展现出可识别且一致的角色形象，并在大五人格测试中表现出明确性格特征。研究证实，提示工程可用于构建具有稳定人格特性的AI聊天机器人。
原文摘要 · Abstract (English)
This thesis investigates whether large language models (LLMs) can be guided to simulate a consistent personality through prompt engineering. The study explores this concept within the context of a chatbot designed for Speech-Language Pathology (SLP) student training, specifically focused on gender-affirming voice therapy. The chatbot, named Monae Jackson, was created to represent a 32-year-old transgender woman and engage in conversations simulating client-therapist interactions. Findings suggest that with prompt engineering, the chatbot maintained a recognizable and consistent persona and had a distinct personality based on the Big Five Personality test. These results support the idea that prompt engineering can be used to simulate stable personality characteristics in AI chatbots.
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品；中文卡片由大模型生成，请以原文为准。