Evidence map›Paper›PMID 41269127›Full record

ArticleThe Gerontologist2026

A quasi-experimental study comparing a VR, computer-based, and face-to-face Alzheimer's embodiment education scenario, "Beatriz".

Kristen Faye Linton

Abstract readComparative Study
In one paragraph

Article in The Gerontologist, 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

1 author.

Kristen Faye LintonDepartment of Health Science, California State University Channel Islands, Camarillo, CA, United States.ORCID 0000-0003-3688-8892

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectivesEffective education on Alzheimer's disease (AD) requires methods fostering empathy, confidence, and knowledge. Artificial intelligence (AI)-enhanced virtual reality (VR) provides immersive experiences potentially superior to traditional modalities. No previous studies have compared VR immersive learning experiences to analogous computer-based or in-person embodiment exercises. This quasi-experimental study compared the efficacy of an AI-enhanced VR scenario, "Beatriz," with computer-based and face-to-face methods in improving students' confidence, empathy, and knowledge of AD. RESEARCH DESIGN AND

methodsA quasi-experimental design included 173 undergraduate health science students assigned to AI-enhanced VR, computer-based, or face-to-face modalities depicting early, middle, and late AD stages. Confidence, empathy, and knowledge were measured via pre-post surveys. Repeated measures analysis of variance values determined significant differences.

resultsAll groups significantly improved confidence across AD stages post-intervention. The VR group showed greater improvement specifically in early-stage confidence. VR also significantly increased empathy compared to other modalities. No modality significantly improved factual knowledge of AD symptoms. DISCUSSION AND IMPLICATIONS: AI-enhanced VR effectively improved empathy and early-stage confidence, suggesting strong benefits for dementia education. However, it did not surpass traditional methods in improving factual knowledge. AI-driven VR has promising implications for enhancing therapeutic and caregiving practices for aging populations. Further research should explore long-term impacts and direct older adult care applications.

Indexed as

Alzheimer DiseaseArtificial IntelligenceVirtual RealityAdultEmpathyFemaleHealth Knowledge, Attitudes, PracticeHumansMaleYoung AdultAlzheimer’s diseaseEducationHealth care professionalsVirtual realityWorkforce development

Identifiers

PMID41269127
PMCPMC13148886

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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Registered trials

None linked

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.