Tool for Extracting Latent Field Overseers’ Knowledge for Risk Recognition on Eyes and Algorithm for Structuring Meta and Domain Knowledge from Utterances

Abstract

We have developed a tool for extracting risk field overseers’ recognition knowledge with an eye tracking sensor and a motion sensor, and an algorithm for structuring knowledge from their utterances as propositional network.We applied the tool on risk recognition training for 12 field overseers, including experts and novices, in a construction company and collected data for their eyes and utterances during the training.Typical experts’ process for perceiving risk scenario from each scene (Meta knowledge) and individual pieces of risk knowledge including each risk scenario (Domain knowledge) were elicited on the data with the algorithm. As the results of these, we confirmed that the eyes promote verbalizing field overseers’ knowledge for risk recognition and the propositional network helps structuring their domain and meta knowledge for risk recognition.