Petersen, S. A., Mannhardt, F., Oliveira, M., & Torvatn, H. (2018). A Framework to Navigate the Privacy Trade-offs for Human-Centred Manufacturing. In Y. Rezgui, H. Afsarmanesh, & L. M. Camarinha-Matos (Eds.), Collaborative Networks of Cognitive Systems – 19th IFIP WG 5.5 Working Conference on Virtual Enterprises, PRO-VE 2018, Proceedings (pp. 85-97). (IFIP Advances in Information and Communication Technology; Vol. 534). Springer. https://doi.org/10.1007/978-3-319-99127-6_8
New technological advances can offer personalised and timely services for industry workers. Exoskeletons, HoloLens, Process Mining and Social Knowledge Networks are some of these services offered to workers by the EU HuMan project. These services could alleviate a worker’s physical stress, their cognitive load or provide help based on the knowledge and experiences of their peers. The successful application of several such services depends on the availability of data about a worker’s state, including their performance. This paper focusses on the design of cognitive systems that provide personalised services while respecting a worker’s privacy and the needs of an organisation. We present a framework for supporting privacy by design and the risks, threats and needs of users, organisations and developers.