Evidence map›Paper›PMID 42048400›Full record

ArticlePloS one2026

Task complexity in exoskeleton setup and takedown: Procedural steps and usability problems as predictors of deployment performance.

Jessica Sanchez-Balandran, Alejandra Martinez Fernandez, Laura Tovar, Priyadarshini Pennathur, Arunkumar Pennathur

Abstract read
In one paragraph

Article in PloS one, 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

5 authors.

Jessica Sanchez-BalandranIndustrial, Manufacturing and Systems Engineering Department, Physical, Information and Cognitive Human Factors Engineering (PIC-HFE) Research Laboratory, Industrial, University of Texas at El Paso, El Paso, Texas, United States of America.
Alejandra Martinez FernandezIndustrial, Manufacturing and Systems Engineering Department, Physical, Information and Cognitive Human Factors Engineering (PIC-HFE) Research Laboratory, Industrial, University of Texas at El Paso, El Paso, Texas, United States of America.
Laura TovarIndustrial, Manufacturing and Systems Engineering Department, Physical, Information and Cognitive Human Factors Engineering (PIC-HFE) Research Laboratory, Industrial, University of Texas at El Paso, El Paso, Texas, United States of America.
Priyadarshini PennathurIndustrial, Manufacturing and Systems Engineering Department, Physical, Information and Cognitive Human Factors Engineering (PIC-HFE) Research Laboratory, Industrial, University of Texas at El Paso, El Paso, Texas, United States of America.
Arunkumar PennathurIndustrial, Manufacturing and Systems Engineering Department, Physical, Information and Cognitive Human Factors Engineering (PIC-HFE) Research Laboratory, Industrial, University of Texas at El Paso, El Paso, Texas, United States of America.ORCID https://orcid.org/0000-0002-6420-2096

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Occupational exoskeletons show promise in reducing physical strain in industrial work, yet their industrial adoption remains limited. For exoskeletons to be used when performing tasks in industrial settings, they first need to be set up, then fitted and donned, and finally doffed, disassembled and stored for future use. Exoskeleton setup and takedown procedures can significantly impact industry deployment, adoption, and use, yet we have limited knowledge of the complexities in setup and takedown procedures and the resulting deployment barriers. The goals of this study were to understand how task complexity (number of task steps, usability problems and part count) in setup and takedown of exoskeletons impact task completion time and success, and present barriers in deployment. Twenty nine participants completed setup (assembly and donning) and takedown (doffing and disassembly) of four exoskeletons. We measured task times, success rates, task complexity (task step counts, part counts and usability problems). Hierarchical task analysis and heuristic assessments were performed to assess task complexity. Setup tasks, especially assembly, took the most time and exhibited the highest failure rates, whereas takedown tasks were faster and more successful. Participant-level regression analyses (N = 397 observations) showed that number of procedural steps was the strongest predictor, accounting for 66.9% of variance in completion times (β = 0.374, p < .001), with each additional step associated with approximately 22 seconds longer completion time. Usability problems also significantly predicted completion time (R² = 0.305, p < .001), while part count showed no significant association (p = .133). Our findings highlight that task complexity impact setup procedures significantly and can present a major deployment barrier. Moreover, our findings add new knowledge that number of steps, not part count, is the primary predictor of performance in setup procedures, and that usability problems differentially affect assembly and donning tasks.

Indexed as

Exoskeleton DeviceTask Performance and AnalysisAdultFemaleHumansMaleYoung Adult

Identifiers

PMID42048400
PMCPMC13123993

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LicenceCC BY
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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 OpenQuestion graph.