PsyProbe: Proactive and Interpretable Dialogue through User State Modeling for Exploratory Counseling
Sohhyung Park, Hyunji Kang, Sungzoon Cho, Dongil Kim

TL;DR
PsyProbe is a proactive, interpretable dialogue system for exploratory counseling that systematically models user psychological states and generates contextually appropriate questions, improving engagement and core issue understanding.
Contribution
Introduces PsyProbe, a novel dialogue system utilizing the PPPPPI framework and cognitive error detection for proactive therapeutic exploration in mental health counseling.
Findings
Outperforms baseline in automatic evaluation metrics.
Increases user engagement intention and naturalness.
Enhances core issue understanding to professional counselor levels.
Abstract
Recent advances in large language models have enabled mental health dialogue systems, yet existing approaches remain predominantly reactive, lacking systematic user state modeling for proactive therapeutic exploration. We introduce PsyProbe, a dialogue system designed for the exploration phase of counseling that systematically tracks user psychological states through the PPPPPI framework (Presenting, Predisposing, Precipitating, Perpetuating, Protective, Impact) augmented with cognitive error detection. PsyProbe combines State Builder for extracting structured psychological profiles, Memory Construction for tracking information gaps, Strategy Planner for Motivational Interviewing behavioral codes, and Response Generator with Question Ideation and Critic/Revision modules to generate contextually appropriate, proactive questions. We evaluate PsyProbe with 27 participants in real-world…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
Taxonomy
TopicsDigital Mental Health Interventions · Mental Health via Writing · Topic Modeling
