Abstract
Human-machine interaction is increasingly important in industry, and this trend will only intensify with the rise of Industry 5.0. Human operators have skills that need to be adapted when using machines to achieve the best results. It is crucial to highlight the operator's skills and understand how they use and adapt them [18]. A rigorous description of these skills is necessary to compare performance with and without robot assistance. Predicate logic, used by Vergnaud within Piaget's scheme concept, offers a promising approach. However, this theory doesn't account for cognitive system constraints, such as the timing of actions, the limitation of cognitive resources, the parallelization of tasks, or the activation of automatic gestures contrary to optimal knowledge. Integrating these constraints is essential for representing agent skills understanding skill transfer between biological and mechanical structures. Cognitive architectures models [2] address these needs by describing cognitive structure and can be combined with the scheme for mutual benefit. Welding provides a relevant case study, as it highlights the challenges faced by operators, even highly skilled ones. Welding's complexity stems from the need for constant skill adaptation to variable parameters like part position and process. This adaptation is crucial, as weld quality, a key factor, is only assessed afterward via destructive testing. Thus, the welder is confronted with a complex perception-decision-action cycle, where the evaluation of the impact of his actions is delayed and where errors are definitive. This dynamic underscores the importance of understanding and modeling the skills of operators.
Abstract (translated)
人机交互在工业领域日益重要，随着Industry 5.0的到来，这一趋势只会加剧。人类操作员具备的技能需要适应机器使用以达到最佳效果。突出操作者的技能并理解他们如何运用和调整这些技能至关重要[18]。为了比较有无机器人协助时的表现，详细描述这些技能是必要的。维尔格诺在皮亚杰方案概念中使用的谓词逻辑提供了一个很有前途的方法。然而，该理论没有考虑认知系统的限制，如动作时间、认知资源的局限性、任务并行化以及与最优知识相悖的手动习惯被激活的情况。将这些约束整合进来对于表示代理技能和理解生物结构向机械结构的技能转移至关重要。认知架构模型[2]通过描述认知结构来满足这一需求，并且可以结合方案以实现互利。 焊接提供了一个相关的案例研究，它突显了操作者面临的挑战，即使是高度熟练的操作者也不例外。焊接复杂性的根源在于需要不断调整技能以适应变化的因素，如零件位置和工艺过程。这种调整至关重要，因为焊缝质量——一个关键因素——只能通过破坏性测试来评估。因此，焊工面临着复杂的感知-决策-行动循环，在这个过程中，他们对自身行为影响的评价被延迟了，并且错误是不可逆转的。这一动态强调了理解并建模操作员技能的重要性。
URL
https://arxiv.org/abs/2509.12851
