Evidence map›Paper›PMID 41485173›Full record

ArticleJournal of applied behavior analysis2026

Evaluation of artificial-intelligence-enhanced video feedback to improve manufacturing workers' ergonomic postural behavior: A preliminary investigation.

Williams A Espericueta Luna, Pamela C Hess, Nicole Gravina

Abstract read
In one paragraph

Article in Journal of applied behavior analysis, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Williams A Espericueta LunaDepartment of Psychology, University of Florida, Gainesville, Florida, USA.ORCID https://orcid.org/0009-0009-3270-7426
Pamela C HessDepartment of Occupational Therapy, University of Florida, Gainesville, Florida, USA.ORCID https://orcid.org/0000-0001-6806-0075
Nicole GravinaDepartment of Psychology, University of Florida, Gainesville, Florida, USA.ORCID https://orcid.org/0000-0001-8210-7159

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Workers frequently engage in nonneutral body postures that increase their risk of developing musculoskeletal disorders. The purpose of this study was to extend previous research by evaluating whether the provision of information plus artificial intelligence (AI)-enhanced video feedback could improve manufacturing workers' postural behavior. Four metal manufacturing workers participated in this study. This study's dependent variable was the percentage of time a participant's target body part spent in low-risk, medium-risk, and high-risk ergonomic positions. This study used a nonconcurrent multiple-baseline design across three participants and a nonconcurrent multiple-baseline design across two target responses with one participant. The results showed that three out of four participants' postural behavior improved following the provision of information plus AI-enhanced video feedback. Additionally, an occupational therapist independently evaluated participants' postural behavior before and following the intervention using a validated ergonomic assessment. The occupational therapist's independent ergonomic evaluations corroborated that participants' postural behavior improved.

Indexed as

Artificial IntelligenceErgonomicsFeedbackPostureVideo RecordingAdultFemaleHumansMaleartificial intelligenceergonomicsmusculoskeletal disordersvideo feedback

Identifiers

PMID41485173
PMCPMC13500369

What OpenQuestion holds

Textmetadata
Read underepoch 390

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 OpenQuestion graph.