An Adaptable AR User Interface to Face the Challenge of Ageing Workers in Manufacturing

In the last years introducing measures to face age discrimination and increasing work safety in production environments have become crucial goals. The present research proposes an innovative user interface exploiting Augmented Reality techniques to support frail people, mainly elderly, in everyday work on complex automated machines. It adapts its functionalities according to the user skill, tasks, age, and cognitive and physical abilities thanks to a set of knowledge-based configuration rules. A case study is described to illustrate the methodology to manage the complexity of configuration rules and the resulting developed platform