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Exploring Human-Machine Relations and Approaches for Task Management in Dynamic Environments: A Comprehensive Literature Review

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Service Oriented, Holonic and Multi-Agent Manufacturing Systems for Industry of the Future (SOHOMA 2023)

Part of the book series: Studies in Computational Intelligence ((SCI,volume 1136))

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Abstract

The transition to Industry 5.0 highlights the necessity for practical cooperation between humans and machines in challenging situations [22], driven by advanced technology, increased production demands, and decentralized control mechanisms while prioritizing human involvement and control. This paper comprehensively evaluates the literature on diverse human-machine interactions and partnerships. The review analyses technology integration’s advantages, limitations, and crucial role in enhancing human-machine relationships. Additionally, it investigates various approaches to task allocation, planning, and decision-making, considering the influential factors affecting these processes such as task complexity, and human factors. This study identifies research gaps and suggests future research projects to improve relations between humans and machines in dynamic environments. These profound insights not only provide light on a variety of allocation strategies but also emphasize the need to protect human well-being. As a result, they contribute to a better understanding of Industry 4.0’s complex human-machine interaction and play an important role in determining the design of intelligent production systems.

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Acknowledgements

We would like to express our heartfelt appreciation to the Hestim Research Centre CERIM and Soukaina Sadiki for their invaluable support and encouragement during the course of our research and writing of this article. Their guidance and expertise have been instrumental in shaping our work. We are truly grateful for their contributions and the opportunities they have provided us.

Author information

Authors and Affiliations

  1. Univ. Polytechnique Hauts-de-France, CNRS, UMR 8201, LAMIH, 59313, Valenciennes, France

    Salma Nissoul, Marie-Pierre Pacaux-Lemoine & Sondes Chaabane

  2. INSA Hauts-de-France, 59313, Valenciennes, France

    Sondes Chaabane

Authors
  1. Salma Nissoul
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  2. Marie-Pierre Pacaux-Lemoine
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  3. Sondes Chaabane
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Corresponding author

Correspondence to Sondes Chaabane .

Editor information

Editors and Affiliations

  1. Faculty of Automatic Control and Computer Science (Automatica), University Politehnica of Bucharest, Bucharest, Romania

    Theodor Borangiu

  2. UPHF, LAMIH UMR CNRS 8201, Université Polytechnique Hauts de France, Valenciennes cedex 9, France

    Damien Trentesaux

  3. Polytechnic Institute of Bragança, Braganca, Portugal

    Paulo Leitão

  4. Polytech Annecy-Chambéry, LISTIC, Annecy, France

    Lamia Berrah

  5. SYMME, Polytech Annecy-Chambéry, Annecy, France

    Jose-Fernando Jimenez

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Nissoul, S., Pacaux-Lemoine, MP., Chaabane, S. (2024). Exploring Human-Machine Relations and Approaches for Task Management in Dynamic Environments: A Comprehensive Literature Review. In: Borangiu, T., Trentesaux, D., Leitão, P., Berrah, L., Jimenez, JF. (eds) Service Oriented, Holonic and Multi-Agent Manufacturing Systems for Industry of the Future. SOHOMA 2023. Studies in Computational Intelligence, vol 1136. Springer, Cham. https://doi.org/10.1007/978-3-031-53445-4_22

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