Abstract
Many supermarket employees, such as shelf and warehouse workers, suffer from musculoskeletal disorders. Exoskeletons, that is, physical assistance systems that are worn on the body, could help. The conditions under which workers would be willing to use this new wearable technology, however, remain largely unclear. In this exploratory field study, 58 supermarket employees tested one or more out of five passive exoskeletons during their regular work. Perceived wearing comfort, extent of strain relief, and task-technology fit (i.e., how well the exoskeleton fit their current task requirements) were found to correlate significantly with post-trial intention to use. Soft exoskeletons were rated as preferable to rigid ones. Trying one of the latter also resulted in lower intention to use, which was revealed to be fully mediated by a better task-technology fit being ascribed to soft exoskeletons. Practical relevance of the results, study limitations and future research directions are discussed.
Original language | English |
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Title of host publication | HRI 2021 - Companion of the 2021 ACM/IEEE International Conference on Human-Robot Interaction |
Publisher | IEEE Computer Society |
Pages | 397-401 |
Number of pages | 5 |
ISBN (Electronic) | 9781450382908 |
DOIs | |
Publication status | Published - 8 Mar 2021 |
Event | 2021 ACM/IEEE International Conference on Human-Robot Interaction: HRI 2021 - Virtual, Online, United States Duration: 8 Mar 2021 → 11 Mar 2021 https://humanrobotinteraction.org/2021/ |
Publication series
Name | ACM/IEEE International Conference on Human-Robot Interaction |
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ISSN (Electronic) | 2167-2148 |
Conference
Conference | 2021 ACM/IEEE International Conference on Human-Robot Interaction |
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Abbreviated title | HRI 2021 |
Country/Territory | United States |
City | Virtual, Online |
Period | 8/03/21 → 11/03/21 |
Internet address |
Keywords
- Comfort
- Field study
- Intention to use
- Passive exoskeletons
- Retail industry
- Strain relief
- Task-technology fit
- Technology acceptance
- Wearables
ASJC Scopus subject areas
- Artificial Intelligence
- Human-Computer Interaction
- Electrical and Electronic Engineering