Abstract
The transformation process of manufacturing industry into a more digitalized world is a key challenge of the fourth industrial revolution. Advantages of new technologies must be used effectively, and therefore employees need to be prepared to deal with these new technologies and the complexity and speed that today's production entails. Worker assistance systems offer the possibility to simplify the interaction between humans and complex machines and to reinforce physical and cognitive skills of employees. Although worker assistance systems are available on the market, methods focusing on the classification of appropriate worker assistance systems for specific work tasks and worker types are missing. This work presents an expert-based classification of worker assistance systems in manufacturing based on classification attributes and capabilities.