@inproceedings{chen-etal-2025-mind,
title = "{MIND}: Towards Immersive Psychological Healing with Multi-Agent Inner Dialogue",
author = "Chen, Yujia and
Li, Changsong and
Wang, Yiming and
Ju, Tianjie and
Xiao, Qingqing and
Zhang, Nan and
Kong, Zifan and
Wang, Peng and
Yan, Binyu",
editor = "Christodoulopoulos, Christos and
Chakraborty, Tanmoy and
Rose, Carolyn and
Peng, Violet",
booktitle = "Findings of the Association for Computational Linguistics: EMNLP 2025",
month = nov,
year = "2025",
address = "Suzhou, China",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2025.findings-emnlp.499/",
pages = "9380--9413",
ISBN = "979-8-89176-335-7",
abstract = "Mental health issues are worsening in today{'}s competitive society, such as depression and anxiety. Traditional healings like counseling and chatbots fail to engage effectively, they often provide generic responses lacking emotional depth. Although large language models (LLMs) have the potential to create more human-like interactions, they still struggle to capture subtle emotions. This requires LLMs to be equipped with human-like adaptability and warmth. To fill this gap, we propose the $MIND$ ($M$ulti-agent $IN$ner $D$ialogue), a novel paradigm that provides more immersive psychological healing environments. Considering the strong generative and role-playing ability of LLM agents, we predefine an interactive healing framework and assign LLM agents different roles within the framework to engage in interactive inner dialogues with users, thereby providing an immersive healing experience. We conduct extensive human experiments in various real-world healing dimensions, and find that $MIND$ provides a more user-friendly experience than traditional paradigms. This demonstrates that $MIND$ effectively leverages the significant potential of LLMs in psychological healing."
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<abstract>Mental health issues are worsening in today’s competitive society, such as depression and anxiety. Traditional healings like counseling and chatbots fail to engage effectively, they often provide generic responses lacking emotional depth. Although large language models (LLMs) have the potential to create more human-like interactions, they still struggle to capture subtle emotions. This requires LLMs to be equipped with human-like adaptability and warmth. To fill this gap, we propose the MIND (Multi-agent INner Dialogue), a novel paradigm that provides more immersive psychological healing environments. Considering the strong generative and role-playing ability of LLM agents, we predefine an interactive healing framework and assign LLM agents different roles within the framework to engage in interactive inner dialogues with users, thereby providing an immersive healing experience. We conduct extensive human experiments in various real-world healing dimensions, and find that MIND provides a more user-friendly experience than traditional paradigms. This demonstrates that MIND effectively leverages the significant potential of LLMs in psychological healing.</abstract>
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%0 Conference Proceedings
%T MIND: Towards Immersive Psychological Healing with Multi-Agent Inner Dialogue
%A Chen, Yujia
%A Li, Changsong
%A Wang, Yiming
%A Ju, Tianjie
%A Xiao, Qingqing
%A Zhang, Nan
%A Kong, Zifan
%A Wang, Peng
%A Yan, Binyu
%Y Christodoulopoulos, Christos
%Y Chakraborty, Tanmoy
%Y Rose, Carolyn
%Y Peng, Violet
%S Findings of the Association for Computational Linguistics: EMNLP 2025
%D 2025
%8 November
%I Association for Computational Linguistics
%C Suzhou, China
%@ 979-8-89176-335-7
%F chen-etal-2025-mind
%X Mental health issues are worsening in today’s competitive society, such as depression and anxiety. Traditional healings like counseling and chatbots fail to engage effectively, they often provide generic responses lacking emotional depth. Although large language models (LLMs) have the potential to create more human-like interactions, they still struggle to capture subtle emotions. This requires LLMs to be equipped with human-like adaptability and warmth. To fill this gap, we propose the MIND (Multi-agent INner Dialogue), a novel paradigm that provides more immersive psychological healing environments. Considering the strong generative and role-playing ability of LLM agents, we predefine an interactive healing framework and assign LLM agents different roles within the framework to engage in interactive inner dialogues with users, thereby providing an immersive healing experience. We conduct extensive human experiments in various real-world healing dimensions, and find that MIND provides a more user-friendly experience than traditional paradigms. This demonstrates that MIND effectively leverages the significant potential of LLMs in psychological healing.
%U https://aclanthology.org/2025.findings-emnlp.499/
%P 9380-9413
Markdown (Informal)
[MIND: Towards Immersive Psychological Healing with Multi-Agent Inner Dialogue](https://aclanthology.org/2025.findings-emnlp.499/) (Chen et al., Findings 2025)
ACL
- Yujia Chen, Changsong Li, Yiming Wang, Tianjie Ju, Qingqing Xiao, Nan Zhang, Zifan Kong, Peng Wang, and Binyu Yan. 2025. MIND: Towards Immersive Psychological Healing with Multi-Agent Inner Dialogue. In Findings of the Association for Computational Linguistics: EMNLP 2025, pages 9380–9413, Suzhou, China. Association for Computational Linguistics.