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Design Framework for Conversational Agent in Couple relationships: A Systematic Review

Published: October 20, 2025 | arXiv ID: 2510.17119v1

By: Soyoung Jung, Sung Park

Potential Business Impact:

Helps couples talk better to fix relationship problems.

Business Areas:
Human Computer Interaction Design, Science and Engineering

The development of conversational agents (CAs) has shown strong potential in supporting mental health through dialogue. While many studies focus on CAs for individual psychological care, research on agents designed for couples facing relational or emotional challenges remains limited. This study aims to identify design considerations for CAs that address the relational context of couples and support their well-being. Following PRISMA guidelines, a systematic review was conducted across seven databases: CINAHL, Embase, PubMed, PsycINFO, Scopus, Web of Science, and the ACM Digital Library. Peer-reviewed empirical studies were screened, duplicates removed, and selection criteria applied, resulting in twelve studies for analysis. Thematic analysis was conducted across three dimensions: AI interaction design, relational framing, and technical limitations. Three key themes emerged: (1) the need for a relational expert persona, (2) technological directions leveraging state-of-the-art AI for relational specificity and emotional competence, and (3) a shift from content-centered to relationship-centered design. Based on these insights, eight design considerations are proposed for couple-oriented CAs: (1) agent persona, (2) individual mode, (3) concurrent mode, (4) conjoint mode, (5) ethics, (6) data and privacy, (7) interaction pattern, and (8) safety mechanism. These principles guide CAs as relational mediators capable of maintaining multiple alliances, respecting cultural and ethical boundaries, and ensuring fairness and emotional safety between partners. Ultimately, this review introduces a design framework that integrates relational theory with advanced AI technologies to inform future development of CAs for couple-based mental health interventions.

Country of Origin
🇰🇷 Korea, Republic of

Page Count
23 pages

Category
Computer Science:
Human-Computer Interaction