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

Abstract

The paradigm shift in production system known as Industry 4.0 i mposes changes on work divisio n between human and machine. A human labor on the one side is assisted by smart devices and machines (human-machine cooperat ion) and on the other should interact and exchange information with intelligent machines (hu man-machine collaboration). This paper addresses the challenges of mutual human-machine learning in factories of the future. Th e ultimate goal is to identify n ew 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 sce narios in the TU Wien Pilot Fac tory Industry 4.0, and finally ide ntify future research potenti als.