Human Cyber-Physical Systems: A skill-based correlation between humans and machines

Cyber-Physical Systems (CPS) are an integral element of Industry 4.0, and these systems are said to have become gradually more intelligent throughout the years. Moreover, as technologies such as Artificial Intelligence and Internet of Things evolve, the suspicion arises on whether machines and humans could cohesively share control in the system. Despite efforts in the literature regarding the architecture and the implementation of CPS and Human CyberPhysical Systems (HCPS), more work needs to be done to highlight the similarities and strengths between people and machines. In this work, we take on the challenge to show that comparison from a human-skill perspective. This analysis highlights some of the human capabilities that have been moved to technologies. It also presents an updated list of human-machine capability differences. Besides, it identifies the human elements involved in HCPS as well as the skills included and required while working with HCPS.

[1]  S. Gathercole,et al.  A structural analysis of working memory and related cognitive skills in young children. , 2004, Journal of experimental child psychology.

[2]  Lihui Wang,et al.  Current status and advancement of cyber-physical systems in manufacturing , 2015 .

[3]  Ercan Öztemel,et al.  Literature review of Industry 4.0 and related technologies , 2018, J. Intell. Manuf..

[4]  Vagan Y. Terziyan,et al.  Patented intelligence: Cloning human decision models for Industry 4.0 , 2018, Journal of Manufacturing Systems.

[5]  Jay Lee,et al.  A Cyber-Physical Systems architecture for Industry 4.0-based manufacturing systems , 2015 .

[6]  Klaus-Dieter Thoben,et al.  Cyber-Physical Product-Service Systems - Challenges for Requirements Engineering , 2017, Int. J. Autom. Technol..

[7]  M. Mesulam,et al.  From sensation to cognition. , 1998, Brain : a journal of neurology.

[8]  S S Stevens,et al.  HUMAN ENGINEERING FOR AN EFFECTIVE AIR-NAVIGATION AND TRAFFIC-CONTROL SYSTEM, AND APPENDIXES 1 THRU 3 , 1951 .

[9]  Giorgio Marchetti Consciousness: a unique way of processing information , 2018, Cognitive Processing.

[10]  M. Robles Executive Perceptions of the Top 10 Soft Skills Needed in Today’s Workplace , 2012 .

[11]  Xun Xu,et al.  Augmented Reality-assisted Intelligent Window for Cyber-Physical Machine Tools , 2017 .

[12]  Peigen Li,et al.  Toward New-Generation Intelligent Manufacturing , 2018 .

[13]  Åsa Fast-Berglund,et al.  Forming a cognitive automation strategy for Operator 4.0 in complex assembly , 2020, Comput. Ind. Eng..

[14]  K. Säfstena,et al.  The content and process of automation strategies , 2015 .

[15]  R. Humphrey,et al.  A meta‐analysis of emotional intelligence and work attitudes , 2017 .

[16]  Yoram Eshet-Alkalai,et al.  Digital Literacy: A Conceptual Framework for Survival Skills in the Digital era , 2004 .

[17]  Soundar R. T. Kumara,et al.  Cyber-physical systems in manufacturing , 2016 .

[18]  Li Da Xu,et al.  Industry 4.0: state of the art and future trends , 2018, Int. J. Prod. Res..

[19]  Jeffrey Heer,et al.  Agency plus automation: Designing artificial intelligence into interactive systems , 2019, Proceedings of the National Academy of Sciences.