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

Truvace record
TRV-2026-2737raw data (JSON)
Version
v1Published
First published
Evidence type
Systematic review or meta-analysis
Sources
1 sourcePeer-reviewed
sha256
2a3e6f153c91…check it

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…

The gain

A meta-analysis of 25 experiments with 4,525 participants found that health chatbots built with more communication skills, such as empathy, were rated higher (Hedges g=0.45) and led to better psychological outcomes (g=0.49) than less skilled versions.

What this doesn’t fix

Health outcomes were analysed in only 3 of the 25 studies and the pooled estimate shifted from 0.00 to 0.44 when single studies were removed, so the lack of a health effect is preliminary.

Sources

1 on file
  1. Journal of Medical Internet Researchdoi:10.2196/76296
    Peer-reviewed2025-11-03

Cite this record

v1

Truvace Impact Record TRV-2026-2737, v1: “Effectiveness of Communication Competence in AI Conversational Agents for Health: Systematic Review and Meta-Analysis.” Truvace, 2026-11-12. /record/TRV-2026-2737 (accessed on the day you copy it). sha256 2a3e6f153c9168a7…

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  1. Publishedv12a3e6f153c91…

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