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Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

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Language Use in Conversational Agent-Based Health Communication: Systematic Review.

Yi Shan¹, Meng Ji², Wenxiu Xie³

¹School of Foreign Studies, Nantong University, Nantong, China.

Journal of Medical Internet Research

|July 8, 2022

Summary

This review highlights how conversational agents (CAs) use language in health communication. Findings show effective engagement strategies but also areas for improvement in CA responses and information delivery for better health outcomes.

Keywords:

conversational agent health communication language use systematic review

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Area of Science:

Human-Computer Interaction
Health Communication
Natural Language Processing

Background:

Conversational agents (CAs) are increasingly significant in various fields, including health care.
Existing research on CAs often overlooks the impact of language use on user perception and healthcare delivery.
Limited studies explore how CA language influences user engagement and trust in health-related contexts.

Purpose of the Study:

To systematically review the language use of CAs in health communication.
To identify achievements and areas for improvement in CA language strategies for healthcare.
To inform the design and development of more effective health CAs.

Main Methods:

Systematic review following PRISMA 2020 guidelines.
Searches conducted in PubMed and ProQuest databases (n=179 retrieved).
Thematic synthesis of 11 eligible articles by three independent researchers.

Main Results:

Six key themes of CA language use identified: personal pronouns, response strategies, linguistic resources, conversation frameworks, human-like interaction, and multimodal communication (symbols/images).
Effective language use was found to engage users in health communication.
Inconsistent responses and limitations in conveying critical health information were noted as areas needing improvement.

Conclusions:

This is the first systematic review on CA language in health communication.
Findings offer insights for designing, developing, and researching CA applications in healthcare.
Practical implications focus on enhancing CA language output for improved health communication and crisis management.