ArticleWearable technologies2021
Exoskeleton acceptance and its relationship to self-efficacy enhancement, perceived usefulness, and physical relief: A field study among logistics workers.
Article in Wearable technologies, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled it.
What it found
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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.
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Who cites it
8 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Intention Prediction for Active Upper-Limb Exoskeletons in Industrial Applications: A Systematic Literature Review.Sensors (Basel, Switzerland) · 2025Pooled it
- Industrial exoskeletons from bench to field: Human-machine interface and user experience in occupational settings and tasks.Frontiers in public health · 2022Pooled it
- Physiological and perceptual effects of two passive back-support exoskeletons during repetitive lifting in healthy adults.European journal of applied physiology · 2026Article
- Acceptance of an upper body exoskeleton for occupational tasks among soldiers.Frontiers in public health · 2026Article
- A passive upper limb exoskeleton effectively reduces shoulder muscle activity over a large shoulder workspace.Wearable technologies · 2025Article
- Gender Differences in Performing an Overhead Drilling Task Using an Exoskeleton-A Cross-Sectional Study.Biomimetics (Basel, Switzerland) · 2024Article
- Biomechanical Effects of Using a Passive Exoskeleton for the Upper Limb in Industrial Manufacturing Activities: A Pilot Study.Sensors (Basel, Switzerland) · 2024Article
- The effect of a movable headrest in shoulder assist device for overhead work.Wearable technologies · 2022Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: This field study aimed to explore the effects of exoskeleton use on task-specific self-efficacy beliefs of logistics workers and to relate these effects to usefulness perceptions and technology acceptance. Background: A growing number of industrial companies have shown interest in having employees wearing exoskeletons to support their physical health. However, psychological consequences of exoskeleton use and mechanisms associated with workers' acceptance or rejection of exoskeletons are not yet sufficiently understood. Methods: A total of 31 logistics workers of a vehicle manufacturing company reported on their work-related self-efficacy, that is, how capable they felt of performing tasks related to their job well, before partaking in half-hour trials of a passive lift-assistive exoskeleton (Laevo V2.5) during their normal work. Afterward, they completed a questionnaire on their exoskeleton-supported self-efficacy and indicated how useful they found the exoskeleton, how much physical relief they felt from wearing it, and how willing they were to continue with its use. Results: Overall, wearing the exoskeleton did not lead to increased work-specific self-efficacy. However, indications of interaction effects were found between baseline self-efficacy, perceived physical relief, and perceived usefulness in such a way that workers who experienced the exoskeleton as more strain-relieving or more useful were also more likely to report a post-trial growth in their self-efficacy beliefs. A positive change in self-efficacy, in turn, was associated with a greater willingness to further use the exoskeleton at the workplace.
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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.