Effectiveness of Communication Competence in AI Conversational Agents for Health: Systematic Review and Meta-Analysis.

ABSTRACT:

Background

With advancements in artificial intelligence and large language models, researchers and designers have increasingly focused on enhancing the conversational capacity of health-related conversational agents (CAs). Communication competence, a key concept in interpersonal communication influencing relational and health outcomes, has been extended to human-machine communication to emphasize the CAs' ability to demonstrate appropriate communicative behaviors in managing relationships with humans.

Objective

This review aims to summarize the operationalization of communication competence in health CAs and assess its impact on 4 primary outcomes: users' evaluations of CA, use of CA, psychological outcomes, and health outcomes.

Methods

A systematic literature search

SUBMITTER: Qin J 

PROVIDER: S-EPMC12582511 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature