Exoskeleton acceptance and its relationship to self-efficacy enhancement, perceived usefulness and physical relief: A field study among logistics workers

Research output: Contribution to journalArticlepeer-review

Abstract

Objective: This field study aimed to explore the effects of exoskeleton use on task-specific self-efficacy beliefs (TSSE) 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. Method: 31 logistics workers of a vehicle manufacturing company reported on their work-related self-efficacy, i.e. 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. Afterwards, 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.
Original languageEnglish
Article numbere10
Pages (from-to)e10
Number of pages15
JournalWearable Technologies
Volume2
DOIs
Publication statusPublished - 2021

Fields of science

  • 102013 Human-computer interaction
  • 501002 Applied psychology
  • 501012 Media psychology
  • 202035 Robotics

JKU Focus areas

  • Digital Transformation

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