技能獲得に向けた脳波測定による図面読解時の認知負荷推定に関する研究

抄録

To achieve high-quality and high-efficient machining without depending on the skill level of operators, standardization of process planning is strongly desired. Because operators' decision-making process is complicated, interviews with skilled operators are difficult to acquire the skills related to process planning. On the other hand, in recent years, electroencephalography has attracted much attention to obtain brain wave as a key to estimate operators' decision-making process. Therefore, electroencephalography is conducted when understanding a lot of mechanical drawings with different difficulty level in this study. The degree of cognitive load is visualized by calculating the power spectrum of the brain wave data. Then, a machine-learning model is built based on the common spatial pattern method to classify the drawings according to the difficulty level. The inference results show a possibility to identify a high cognitive load area when understanding mechanical drawings and to establish a key to find an important area for the interviews to acquire the skills.