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arXiv 最近完成扫描:等待完成 · 全站最近入库:2026-11-02 00:39各信源进度 →

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新论文 · v1arXiv:2610.40563

比较人类角色扮演者与LLM模拟来访者在在线咨询培训中的表现:咨询模式分析

Comparing Human Role-Players and LLM-Simulated Clients in Online Counselling Training: An Analysis of Counselling Patterns

Eric Rudolph, Philipp Steigerwald, Jens Albrecht

AI 速览:该研究比较新手咨询师与人类角色扮演来访者及LLM模拟来访者互动时的咨询沟通模式,以评估LLM模拟来访者在教学角色扮演中的可行性与差异。

This study investigates the capabilities of Large Language Models to simulate counselling clients in educational role-plays in comparison to human role-players. Initially, we recorded role-playing sessions, where novice counsellors interacted with human peers acting as clients, followed by role-plays between humans and clients simulated by Mistrals Mixtral 8x7b using 4-bit quantization. These interactions were analysed with a counselling communication pattern system at sentence level. We investigated two key questions: (1) to what extent LLM-generated responses replicate authentic conversational dynamics and (2) whether counsellors' communication behaviour differs when interacting with human versus LLM-simulated clients. The findings highlight both similarities and differences in the application of counselling patterns across scenarios, showing the potential of LLM-based role-playing exercises to enhance counselling competencies and to identify areas for further refinement in virtual client simulations.

cs.AI · cs.CL
arXiv ↗PDF ↗