Autor: Dr. rer. pol. Gergana Vladova

Assistance systems are in use in different domains from their application in everyday life like driving cars and guiding the operation of information systems to industrial usage, e.g., in operating machinery, maintaining facilities, and monitoring production processes. The primary purpose of assistance systems is to extend the capabilities of human operators in different aspects to achieve an individual or organizational goal faster, with fewer errors, or more secure. In the context of learning, they provide new means to engage people in realistic learning scenarios. This paper discusses assistance systems that support learning in production processes. The goal of the paper is to structure the possibilities of assistance systems use regarding different learning goals. It presents a taxonomy of assistance system use and demonstrates this taxonomy in three cases.

Industry 4.0 and Smart Factory are associated with major changes in the industrial world. The innovative forms of networking, communication and collaboration between people, machines and products have led to a new type of production system in which information and knowledge are exchanged more quickly and efficiently. As a result, among other things, the role of cognitive assistance systems and their supporting function for employees within production processes has gained in importance, both in the training phase and in the active work phase. Especially for on-the-job learning, these assistance systems open up a wide range of opportunities. This paper focuses on the opportunities and challenges associated with the use of cognitive assistance systems for workplace learning. We discuss current research on the potential uses of these assistance systems, particularly for process accomplishment as well as for supporting specific groups of employees. Furthermore, we address the limitations ...