Development of Gaze Allocation Data Feedback System for Train Drivers

Abstract

This study aimed at developing a gaze allocation data feedback system for conducting driving simulator training using quantitative gaze data of train drivers. The system can preset driving scenes to efficiently instruct trainees within a limited training time. The system can also compare trainees with experts using face direction data and gaze target data graphs to clarify the characteristics of trainee allocation of visual attention. In addition, the system can visualize the gaze allocation data and clearly show the objects that trainees were looking at while driving a simulator. Instructors from a railway company tested the system and gave a positive evaluation of it as a training tool for trainee visual attention.