Hoffmann, Svende Carvalho, Aparecido Fabiano PinattiAbele, DarwinSchweitzer, MarcusTolmie, PeterWulf, Volker2020-06-062020-06-06201943631http://dx.doi.org/10.1007/s10606-019-09355-yhttps://dl.eusset.eu/handle/20.500.12015/3733Cyber-physical systems (CPS) are currently attracting a great deal of attention as a part of the discourse surrounding the fourth industrial revolution. Thus far, the chief focus has been upon complex architectures for supply chain-wide data exchange between intelligent machines. Here, however, we take a very different tack by examining the support CPS may offer for the exchange and acquisition of knowledge-intensive human practices in the context of manual set-up processes on modern production machines. The paper offers contributions to both CSCW and the ongoing development of CPS in three ways. Firstly, it presents a detailed empirical study of knowledge and expertise sharing practices in a production environment. Secondly, the results of this study are used as the basis of an over-arching model that was developed with the express purpose of facilitating design. Finally, CPS-based technical possibilities are matched to the practice-relevant knowledge and expertise sharing requirements captured within the model.augmented realitycyber-physical systemsexpertise sharingknowledge sharingmanufacturing contextsensor technologyText/Journal Article10.1007/s10606-019-09355-y1573-7551