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

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

摘要

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.