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F. Ansari, S. Erol, W. Sihn:
"Rethinking Human-Machine Lear ning in Industry 4.0: How Does the Paradigm Shift Treat the Role of Human Learning?";
Procedia Manufacturing, 23 (2018), S. 117 - 122.

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.

Human Learning; Machine Learni ng, Human-Machine Interaction; Reciprocal Learning; Hybri d Learning; Industry 4.0

http://dx.doi.org/10.1016/j.promfg.2018.04.003

https://publik.tuwien.ac.at/files/publik_270059.pdf