The Cognitive Operator 4.0

Author:

Thorvald Peter12,Fast Berglund Åsa2,Romero David3

Affiliation:

1. School of Engineering Science, University of Skövde, Sweden

2. Department of Industrial and Materials Science, Chalmers University of Science, Gothenburg, Sweden

3. Tecnológico de Monterrey, Mexico City, Mexico

Abstract

While previous Industrial Revolutions have increasingly seen the human as a cog in the system, each step reducing the cognitive content of work, Industry 4.0 contrarily views the human as a knowledge worker putting increased focus on cognitive skills and specialised craftsmanship. The opportunities that technological advancement provide are in abundance and to be able to fully take advantage of them, understanding how humans interact with increasingly complex technology is crucial. The Operator 4.0, a framework of eight plausible scenarios attempting to highlight what Industry 4.0 entails for the human worker, takes advantage of extended reality technology; having real-time access to large amounts of data and information; being physically enhanced using powered exoskeletons or through collaboration with automation; and finally real-time monitoring of operator status and health as well as the possibility to collaborate socially with other agents in the Industrial Internet of Things, Services, and People. Some of these will impose larger cognitive challenges than others and this paper presents and discusses parts of the Operator 4.0 projections that will have implications on cognitive work.

Publisher

IOS Press

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1. Practical Engineering Education: Use of collaborative robots in the context of Industry 5.0;2023 World Engineering Education Forum - Global Engineering Deans Council (WEEF-GEDC);2023-10-23

2. Self-improving situation awareness for human–robot-collaboration using intelligent Digital Twin;Journal of Intelligent Manufacturing;2023-05-24

3. Metaverse-Based Softbot Tutors for Inclusive Industrial Workplaces: Supporting Impaired Operators 5.0;IFIP Advances in Information and Communication Technology;2023

4. Augmenting the Human in Industry 4.0 to Add Value: A Taxonomy of Human Augmentation Approach;Communications in Computer and Information Science;2023

5. The sociodemographic challenge in human-centred production systems – a systematic literature review;Theoretical Issues in Ergonomics Science;2022-11-22

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