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  • The development towards Industry 4.0 and the increasing introduction of collaborative robots (cobots) open new possibilities. However, the automation of textile processes is complex because the behavior of limp materials is difficult to predict. Thus, the processing of textiles in human-robot interaction (HRI) offers a promising approach and the deployment of a cobot is regarded as an assistive remedy for performance optimization. So far, however, only technical and safety factors have been considered, while human factors are often neglected in recent research. Therefore, we present an empirical user-centered study (n = 21) which investigates how and whether the collaboration type in terms of role assignment influences the satisfaction of the performed task, perceived autonomy, and perceived control, as well as which factors predict and influence the acceptance. The results emphasize that generally the cobot contributes to satisfactory task performance and high perceived control, with a low perceived autonomy across all types of collaboration. The study identified usability, hedonic motivation, and experience in textile processing as acceptance-relevant factors. (xsd:string)
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  • 2022 (xsd:gyear)
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  • 2022 (xsd:gyear)
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  • 10.54941/ahfe1001710 ()
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  • 213 (xsd:string)
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  • Usability of human-robot interaction within textile production: Insights into the acceptance of different collaboration types (xsd:string)
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  • In Usability and User Experience, 39, 213-223, 2022 (xsd:string)
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  • 39 (xsd:string)