Modeling Multi-Party Interaction in Couples Therapy: A Multi-Agent Simulation Approach

2026-01-16

AI Summary

This study addresses the limitations of traditional couple therapist training, which struggles to authentically replicate the complex dynamics of dyadic interactions—particularly critical communication patterns such as “demand–withdraw.” To overcome this challenge, the paper introduces the first multi-agent simulation framework specifically designed for couple therapist training. The framework integrates multimodal behavioral modeling, an empirically grounded six-stage interaction design, and a context-aware emotion-dialogue generation mechanism to create a high-fidelity, low-risk interactive training environment. In a blind evaluation involving 21 licensed therapists, agent behaviors generated by the system significantly outperformed baseline approaches in both realism and responsiveness, demonstrating the framework’s clinical validity and technical feasibility for simulating therapeutic couple interactions.

Technology Category

• Cognitive Modeling & Cognitive Systems: Simulating Human Behavior
• Multiagent Systems: Agent-Based Simulation and Emergent Behavior
• Humans and AI: Human-Aware Planning and Behavior Prediction

Application Category

• User Modeling, Personalization and Recommendation: User modeling and simulation for interactive and conversational systems
• Semantics and Knowledge: Data modeling to support human-machine intelligence, including LLMs agents, intelligent system behavior, explanations, and user-friendly interactions
• Web Mining and Content Analysis: Web data generation and simulation

Abstract

Couples therapy, or relationship counseling, helps partners resolve conflicts, improve satisfaction, and foster psychological growth. Traditional approaches to training couples therapists, such as textbooks and roleplay, often fail to capture the complexity and emotional nuance of real couple dynamics. We present a novel multimodal, multi-agent simulation system that models multi-party interactions in couples therapy. Informed by our systematic research, this system creates a low-stakes environment for trainee therapists to gain valuable practical experience dealing with the critical demand-withdraw communication cycle across six couple-interaction stages. In an evaluation study involving 21 US-based licensed therapists, participants blind to conditions identified the engineered agent behaviors (i.e., the stages and the demand-withdraw cycle) and rated overall realism and agent responses higher for the experimental system than the baseline. As the first known multi-agent framework for training couples therapists, our work builds the foundation for future research that fuses HCI technologies with couples therapy.

Problem

• couples therapy
• multi-party interaction
• demand-withdraw cycle
• therapist training
• emotional nuance

Innovation

• multi-agent simulation
• couples therapy
• demand-withdraw cycle
• multimodal interaction
• therapist training