Rethinking Human-Machine Learning in Industry 4.0: How Does the Paradigm Shift Treat the Role of Human Learning?

摘要

The paradigm shift in production system known as Industry 4.0 imposes changes on work division between human and machine. A human labor on the one side is assisted by smart devices and machines (human-machine cooperation) and on the other should interact and exchange information with intelligent machines (human-machine collaboration). This paper addresses the challenges of mutual human-machine learning in factories of the future. The ultimate goal is to identify new learning patterns in highly digitalized industrial work scenarios. To this end, we give a definition of mutual human-machine learning in digitalized work scenarios; provide exemplary scenarios in the TU Wien Pilot Factory Industry 4.0, and finally identify future research potentials.