A Learning Support Method for Manufacturing Skill Transfer Based on the Relationship between Skilled Workers’ Bodily Sensations and Quantitative Quality Evaluation

The intergenerational transfer of manufacturing skills has become a pressing challenge in the field of mechanical engineering. While recent advancements in digital transformation (DX) offer potential pathways for addressing this issue, tasks such as the fabrication and fine-tuning of mother machines and high-precision metrology equipment continue to rely heavily on the embodied expertise of highly skilled workers. Since the ultimate objective of skill transmission is the realization of higher-quality manufacturing, it is essential to elucidate how practitioners perceive machining conditions through specific bodily regions, and how they cognitively interpret subtle changes in the workpiece during processing. This study aims to propose a novel skill acquisition support method by examining the relationship between quantitative machining outcomes and the practitioner's embodied sensations and perceptual-cognitive processes.