Approach to the transfer of quality control skills at the construction site using eye-gazing data

Abstract

Quality control at the construction site is subject to differences in results depending on the skill level of the field supervisor and precision collateral is a problem. In addition, to do precise quality check, it is important to find a suitable "Viewpoints". But it is difficult to efficiently train because it is difficult to extract these "Viewpoints". Also, due to the rapid expansion of the construction market in the current metropolitan area, we can not place employees enough, and we can not provide appropriate guidance by OJT (On-the-Job Training), which is the key to technology transfer. In this study, using an eye-tracking device, we tried to find out skilled field supervisors’ "Viewpoints" or how to "recognize situation", and clarify "judgement criteria" that lead to "action". Then, we show how to inherit the extracted behavior process to supervisor with low skill level.