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Augmenting the Human in Industry 4.0 to Add Value: A Taxonomy of Human Augmentation Approach

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Computer-Human Interaction Research and Applications (CHIRA 2023)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1996))

Abstract

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.

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Acknowledgment

This research is co-funded by the Enterprise Ireland and European Regional Development Fund (ERDF) under Ireland’s European Structural and Investment Funds (ESI) Programmes 2014–2020.

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Authors and Affiliations

  1. Technological University of the Shannon, Limerick, Ireland

    Jacqueline Humphries

  2. University of Limerick, Limerick, Ireland

    Jacqueline Humphries, Pepijn Van de Ven & Alan Ryan

  3. Confirm Manufacturing Research Centre, Limerick, Ireland

    Jacqueline Humphries & Pepijn Van de Ven

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  1. Jacqueline Humphries
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  2. Pepijn Van de Ven
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  3. Alan Ryan
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Correspondence to Jacqueline Humphries .

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Editors and Affiliations

  1. Instituto Superior Técnico, IT - Institute of Telecommunications, Lisbon, Portugal

    Hugo Plácido da Silva

  2. University of Turin, Turin, Italy

    Pietro Cipresso

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Humphries, J., Van de Ven, P., Ryan, A. (2023). Augmenting the Human in Industry 4.0 to Add Value: A Taxonomy of Human Augmentation Approach. In: da Silva, H.P., Cipresso, P. (eds) Computer-Human Interaction Research and Applications. CHIRA 2023. Communications in Computer and Information Science, vol 1996. Springer, Cham. https://doi.org/10.1007/978-3-031-49425-3_20

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  • DOI: https://doi.org/10.1007/978-3-031-49425-3_20

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