Simulation is crucial for validating algorithmic strategies in real-world scenarios. While LLM-based social simulation shows promise as a mainstream tool, simulating complex scenarios like psychological counseling remains challenging. We present ECAs (short for Embodied Conversational Agents), a framework for simulating psychological counseling clients' embodied memory, integrating embodied cognition and counseling theories. We formulate six design goals based on a comprehensive review of psychological counseling theories. Using LLMs, we expand real counseling case data into a nuanced embodied cognitive memory space and generate dialogues based on high-frequency counseling questions. We validate our framework using the D4 dataset, with evaluations by licensed counselors. Results show our approach significantly outperforms baselines in simulation authenticity and necessity. To demonstrate scalability, we created a public ECAs dataset through batch simulations. This research provides valuable insights for future social simulation studies in psychological counseling and Embodied Counseling Agents research.

翻译：仿真对于验证算法策略在现实场景中的有效性至关重要。尽管基于大语言模型的社会仿真正成为主流工具，但模拟心理咨询等复杂场景仍具挑战性。本文提出ECA（具身对话智能体）框架，通过整合具身认知理论与心理咨询理论，模拟心理咨询来访者的具身记忆。基于对心理咨询理论的系统梳理，我们确立了六项设计目标。利用大语言模型，我们将真实咨询案例数据扩展为精细化的具身认知记忆空间，并基于高频咨询问题生成对话。我们使用D4数据集验证框架，并由持证咨询师进行评估。结果表明，该方法在仿真真实性与必要性方面显著优于基线模型。为验证可扩展性，我们通过批量仿真构建了公开的ECA数据集。本研究为未来心理咨询领域的社会仿真研究及具身咨询智能体探索提供了重要参考。