流体解析の現象評価における視線と熟練度との関係

Abstract

In the manufacturing industry, DX efforts are active, and in addition to digitization of manufacturing information and inspection data, digitization of expert skills and knowledge in design is also progressing. Systems have been developed to support the transfer of skills and knowledge using these data, but it is difficult to present knowledge that matches the user's skill level. On the other hand, a technique has been developed that measures the user's gaze and determines the skill level from the trajectory. In addition, the pupil size dilates as the cognitive load increases. The cognitive load on a task may differ depending on the skill level. Therefore, it may be possible to judge the user's skill level by measuring the pupil size. In this study, in order to examine the possibility of determining the skill level at an early stage when the user starts using the system, we focused on the fluctuation of the pupil size during task execution and evaluated the difference between the experts and beginners. As a result of measuring the pupil size in the task of searching for a vortex from the fluid simulation image, it was found that the user's pupil size has a latency of 900 ms and increases 900 ms after observing the vortex. In addition, the pupil size of an expert is large in a place with a vortex, and the pupil size is small in a place without a vortex, which depends on the presence or absence of a vortex, but the beginner does not depend on the location of the vortex. From this result, it was found that it may be possible to judge the skill level at an early stage by analyzing the location of the vortex and the pupil size in association with each other at the initial stage when the system is started to be used.