ArticleFrontiers in psychology2026
Does AI communication strategy matter for health persuasion? Comparing three archetypes in visual health education.
Article in Frontiers in psychology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: Artificial intelligence (AI) systems are increasingly explored as tools for visual health education, yet whether their communication style influences persuasive outcomes remains unclear. This study compared three AI communication strategy archetypes to test whether emotional or cognitive pathways more strongly drive behavioral intention. Methods: In a pre-post quasi-experimental design, 367 Chinese university students (84.5% with myopia) were assigned to interact with one of three AI health assistants embodying distinct communication strategy archetypes: an Empathetic Partner (warm, humorous, gain-framed), an Authoritative Expert (professional, serious, loss-framed), or an Objective Informant (neutral, data-driven, balanced-framed). Outcomes were assessed using the HEAT (Health Engagement with AI Technology) framework across three dimensions: Information Processing, Relational Engagement, and Action Empowerment. Results: All three archetypes produced substantial pre-to-post knowledge gains (all Discussion: When identical health content is delivered through different AI communication strategies, the quality of the perceived relationship, rather than the quantity of information transferred, most strongly determines persuasive effectiveness among university students. These findings suggest that AI health assistants targeting young adult populations should prioritize empathetic, relationally warm communication.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.