Evidence map›Paper›PMID 42424627›Full record

ArticleJMIR AI2026

Effectiveness of Humanized AI Avatars and Messenger Gender for Dental Postprocedure Instructions: Two Randomized Experiments.

Dafna Benadof, Josefa Cabezas, Daniel Schwartz

Abstract read
In one paragraph

Article in JMIR AI, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Dafna Benadof *School of Dentistry, Universidad Andrés Bello, Echaurren 237, Santiago, 8370133, Chile, 56 227703157.ORCID http://orcid.org/0000-0003-0788-2678
Josefa Cabezas *Department of Industrial Engineering, University of Chile, Santiago, Chile.ORCID http://orcid.org/0009-0002-5470-5877
Daniel Schwartz *Department of Industrial Engineering, University of Chile, Santiago, Chile.ORCID http://orcid.org/0000-0003-2768-9349

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Postcare instructions play a vital role in preventive health care. Traditionally, information on post-dental procedure care is provided through printed leaflets or brief verbal explanations, which often fail to engage patients or ensure adherence. In contrast, emerging artificial intelligence (AI) systems designed to emulate human interaction represent a promising yet understudied approach to improving patient communication and understanding. Objective: This study evaluated the effectiveness of AI-generated avatars in communicating postprocedure dental instructions and determined how video characteristics, including avatar type (humanized, animated, or real person), AI identity disclosure, and avatar gender, impact intention to comply and comprehension. Methods: Two preregistered online randomized experiments were conducted. Experiment 1 (n=650) compared the effectiveness of a real person with humanized and animated AI avatars, with and without disclosure of the AI's identity. Experiment 2 (n=256) tested the effects of avatar gender on patient intention to comply. The primary outcomes were self-reported likelihood of following instructions, returning to the dentist, and comprehension. Results: In experiment 1, humanized AI avatars were as effective as a real person in promoting intention to comply with instructions, while animated avatars significantly reduced this intention. AI disclosure did not affect intention to comply but reduced the reported likelihood of returning to the same dentist. In experiment 2, women reported a higher intention to comply with the instructions in the man avatar condition than in the woman avatar condition. Comprehension remained high and was unaffected across conditions. Conclusions: Humanized AI avatars are an effective tool for delivering postprocedure instructions. However, design choices such as visual realism and avatar gender significantly impact patient trust and intention to comply. Avatar design should balance efficacy and ethics.

Indexed as

AIartificial intelligenceavatardental carepatient compliancerandomized controlled trial

Identifiers

PMID42424627
PMCPMC13349325

What Socratic holds

Textmetadata
LicenceCC BY
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Registered trials

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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 Socratic graph.