TY - GEN
T1 - Augmenting the Human in Industry 4.0 to Add Value
T2 - 7th International Conference on Computer-Human Interaction Research and Applications, CHIRA 2023
AU - Humphries, Jacqueline
AU - Van de Ven, Pepijn
AU - Ryan, Alan
N1 - Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2023
Y1 - 2023
N2 - There is a lack of clarity about how to augment the human in manufacturing. For practitioners, this creates challenges in understanding which technologies to invest in for specific automation goals, and where the value-add exists. A narrative review of the literature is conducted through which the relationship between augmentation and automation is clarified. Definitions for Augmentation, and the Augmented Human, and a new Taxonomy of Human Augmentation are proposed. Five classes of augmentation are identified: Physical, Collaborative Physical, Sensory, Embedded Intelligence, and Collaborative Social Intelligence. How the Taxonomy is applied to each goal of automation is illustrated. Finally the value-add of the classes is explored through industrial use cases, and the potential impact on manufacturing key performance indicators is summarised. This novel Taxonomy of Human Augmentation unifies the existing research, and provides a common description of each class of augmentation, which can assist practitioners in seeking and exploring augmentation solutions.
AB - There is a lack of clarity about how to augment the human in manufacturing. For practitioners, this creates challenges in understanding which technologies to invest in for specific automation goals, and where the value-add exists. A narrative review of the literature is conducted through which the relationship between augmentation and automation is clarified. Definitions for Augmentation, and the Augmented Human, and a new Taxonomy of Human Augmentation are proposed. Five classes of augmentation are identified: Physical, Collaborative Physical, Sensory, Embedded Intelligence, and Collaborative Social Intelligence. How the Taxonomy is applied to each goal of automation is illustrated. Finally the value-add of the classes is explored through industrial use cases, and the potential impact on manufacturing key performance indicators is summarised. This novel Taxonomy of Human Augmentation unifies the existing research, and provides a common description of each class of augmentation, which can assist practitioners in seeking and exploring augmentation solutions.
KW - Augmentation
KW - Automation
KW - Industry 4.0
UR - http://www.scopus.com/inward/record.url?scp=85180815722&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-49425-3_20
DO - 10.1007/978-3-031-49425-3_20
M3 - Conference contribution
AN - SCOPUS:85180815722
SN - 9783031494246
T3 - Communications in Computer and Information Science
SP - 318
EP - 335
BT - Computer-Human Interaction Research and Applications - 7th International Conference, CHIRA 2023, Proceedings
A2 - da Silva, Hugo Plácido
A2 - da Silva, Hugo Plácido
A2 - Cipresso, Pietro
PB - Springer Science and Business Media Deutschland GmbH
Y2 - 16 November 2023 through 17 November 2023
ER -