PsyAdvisor: A Plug-and-Play Strategy Advice Planner with Proactive Questioning in Psychological Conversations

Proactive questioning is essential in psychological conversations as it helps uncover deeper issues and unspoken concerns.Current psychological LLMs are constrained by passive response mechanisms, limiting their capacity to deploy proactive strategies for psychological counseling.To bridge this gap, we first develop the ProPsyC (Proactive Psychological Conversation) dataset, a multi-turn conversation dataset with interpretive labels including strategy decision logic and reaction attribution.Based on ProPsyC, we propose PsyAdvisor by supervised fine-tuning, a plug-and-play proactive questioning strategy planner that empowers psychological LLMs to initiate welltimed questioning through strategic prompting.Experimental results demonstrate that psychological LLMs integrated with PsyAdvisor substantially improve proactive questioning capacity, conversation depth, and response quality.Furthermore, PsyAdvisor shows promising potential in assisting novice counselors by providing strategy recommendations.This study provides new optimization directions for psychological conversation systems and offers valuable insights for future research on proactive questioning mechanisms in psychological LLMs.Our code are available at https: //github.com/EthanHu777/PsyAdvisor.

Authors

Publication Details

Published
2025-01-01
DOI
https://doi.org/10.18653/v1/2025.acl-long.596
Primary Topic
Education and Critical Thinking Development
Type
article
Field-Weighted Citation Impact
0.00

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article

PsyAdvisor: A Plug-and-Play Strategy Advice Planner with Proactive Questioning in Psychological Conversations

Yanbing Chen, Danya Liu, Jiuxin Cao, Yuxin Hu et al.
Education and Critical Thinking Development
article

PsyAdvisor: A Plug-and-Play Strategy Advice Planner with Proactive Questioning in Psychological Conversations

Yanbing Chen, Danya Liu, Jiuxin Cao, Yuxin Hu, Yan Liu, Bo Liu
article en

Abstract

Proactive questioning is essential in psychological conversations as it helps uncover deeper issues and unspoken concerns.Current psychological LLMs are constrained by passive response mechanisms, limiting their capacity to deploy proactive strategies for psychological counseling.To bridge this gap, we first develop the ProPsyC (Proactive Psychological Conversation) dataset, a multi-turn conversation dataset with interpretive labels including strategy decision logic and reaction attribution.Based on ProPsyC, we propose PsyAdvisor by supervised fine-tuning, a plug-and-play proactive questioning strategy planner that empowers psychological LLMs to initiate welltimed questioning through strategic prompting.Experimental results demonstrate that psychological LLMs integrated with PsyAdvisor substantially improve proactive questioning capacity, conversation depth, and response quality.Furthermore, PsyAdvisor shows promising potential in assisting novice counselors by providing strategy recommendations.This study provides new optimization directions for psychological conversation systems and offers valuable insights for future research on proactive questioning mechanisms in psychological LLMs.Our code are available at https: //github.com/EthanHu777/PsyAdvisor.

National Natural Science Foundation of China, Ministry of Education of the People's Republic of China, Government of Jiangsu Province, Ministry of Education, India, Natural Science Foundation of Jiangsu Province, Southeast University, Key Laboratory of Computer Network and Information Integration
Openalex Percentile: Top 78%
Education and Critical Thinking Development
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PsyAdvisor: A Plug-and-Play Strategy Advice Planner with Proactive Questioning in Psychological Conversations — Yanbing Chen, Danya Liu, et al. · (2025) | TGRS Research Map | TGRS