Context-Aware Assistive Systems for Augmented Work. A Framework Using Gamification and Projection

While context-aware assistive systems (Caas) have become ubiquitous in cars or smartphones, most workers in production environments still rely on their skills to make the right choices and movements. However, with today's motion recognition systems and projectors the technical pre-requisites for Caas principally have been established. Impaired and elderly persons with reduced physical and mental capabilities require Caas the most: these systems have the potential to empower them to do more complex work or to remain in regular jobs longer. Thus they combine economic benefits with inclusion and address the demographic change. We establish a model for Caas and describe an exemplary implementation. As the framework aims to improve not both work results and the workers' motivation, it incorporates elements from game design. The effects of the augmented system are evaluated. An additional focus lies on the ethical implications of systems supervising and modelling their users in real-time.