2020 IEEE 16th International Conference on Automation Science and Engineering (CASE) 2020
DOI: 10.1109/case48305.2020.9216843
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Human Cyber-Physical Systems: A skill-based correlation between humans and machines

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Cited by 10 publications
(7 citation statements)
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“…In order to accommodate the ever-increasing variability of production, Industry 4.0 enables new types of interactions between operators and machines, interactions that will transform the industrial workforce and have significant implications for the nature of work. The emphasis on human-centricity of the Factories of the Future is an important part of this transformation, allowing for a paradigm shift from independent automated and human activities to a human-automation symbiosis (or 'human cyber-physical systems') [25] characterised by the cooperation of machines with humans in work systems and designed not to replace, but rather to co-exist with and assist humans in becoming more efficient.…”
Section: Operator Generations (R)evolutionmentioning
confidence: 99%
“…In order to accommodate the ever-increasing variability of production, Industry 4.0 enables new types of interactions between operators and machines, interactions that will transform the industrial workforce and have significant implications for the nature of work. The emphasis on human-centricity of the Factories of the Future is an important part of this transformation, allowing for a paradigm shift from independent automated and human activities to a human-automation symbiosis (or 'human cyber-physical systems') [25] characterised by the cooperation of machines with humans in work systems and designed not to replace, but rather to co-exist with and assist humans in becoming more efficient.…”
Section: Operator Generations (R)evolutionmentioning
confidence: 99%
“…Higher educated users of Internet technologies are known to possess more advanced digital skills (Scheerder et al, 2017). We expect that this holds true for IoT home automation because extracting meaning from data and comprehending the context in which they were gathered cannot be mimicked by technology (Flores et al, 2020). Thus, we hypothesize the following:…”
Section: Predictors Of Digital Skills For Iotmentioning
confidence: 99%
“…Configuration level. Cyber-physical systems are engineering systems to monitor, control and integrate operations in physical and computer (digital) systems (structures) (Flores et al, 2020based on Monostori et al, 2016. Roblek et al, 2016based on: Almada-Lobo, 2016Schlechtendahl, Keinert, Kretschmer, Lechler and Verl, 2015) listed three basic technological components that form the framework of Industry 4.0, they are: 1.…”
Section: About the Concept Of Industry 40mentioning
confidence: 99%