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Towards augmenting cyber-physical-human collaborative cognition for human-automation interaction in complex manufacturing and operational environments

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  • Jianxin (Roger) Jiao
  • Feng Zhou
  • Nagi Z. Gebraeel
  • Vincent Duffy

Abstract

The importance of augmenting human-technology collaborative cognition has been envisioned as one of the fundamental ways to bolster human cognition through human-automation interaction in complex manufacturing and operational environments. The focus on collaborative cognition entails a human-automation mutual adaption strategy for augmenting team cognition and collective intelligence. This paper provides an overview of augmenting collaborative cognition from an analytic and model-based decision-making perspective. Aiming to advance basic research for understanding human cognition augmentation, the fundamental and applied aspects of creating mathematical and computational models are discussed in regard to cognitive state sensing and assessment, human-automation interaction adaption and control, as well as group decision making in human-automation systems. A research roadmap towards cyber-physical-human analysis is deliberated to reveal a variety of opportunities of developing novel methods for enhancing affective cognition and perception learning, trust dynamics modelling, human cognitive performance prediction, as well as human-automation interaction optimisation.

Suggested Citation

  • Jianxin (Roger) Jiao & Feng Zhou & Nagi Z. Gebraeel & Vincent Duffy, 2020. "Towards augmenting cyber-physical-human collaborative cognition for human-automation interaction in complex manufacturing and operational environments," International Journal of Production Research, Taylor & Francis Journals, vol. 58(16), pages 5089-5111, July.
    • Handle: RePEc:taf:tprsxx:v:58:y:2020:i:16:p:5089-5111
    DOI: 10.1080/00207543.2020.1722324
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    Cited by:

    1. Xinxin Wang & Zeshui Xu & Yong Qin, 2022. "Structure, trend and prospect of operational research: a scientific analysis for publications from 1952 to 2020 included in Web of Science database," Fuzzy Optimization and Decision Making, Springer, vol. 21(4), pages 649-672, December.
    2. Del Giudice, Manlio & Scuotto, Veronica & Papa, Armando & Singh, Sanjay Kumar, 2023. "The ‘bright’ side of innovation management for international new ventures," Technovation, Elsevier, vol. 125(C).

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