EVALUATION OF EYE MOVEMENT MODELLING EXAMPLE (EMME)-BASED SAFETY TRAINING VIDEO USING EYE TRACKER

Abstract

Workers in Singapore’s construction industry undergo different types of safety training incorporating different types of teaching styles and instructional methods. However, the occurrence of workplace accidents remains constant, leading to a loss of productivity and increased costs. This dissertation seeks to address this by enhancing the quality of safety training materials provided to workers in the industry through the incorporation of Eye Movement Modelling Examples - a new video modelling platform that provides an interactive form of learning using the eye movements of expert instructors. In this dissertation, the study attempts to establish a link between EMME and effective knowledge gain, increased attention capture and positive learner satisfaction, when compared to standard safety training videos. Participants in the experiment will undertake a pre-test quiz to indicate their baseline knowledge and a post-test quiz to determine any gain in knowledge. They will then wear an eye tracker while watching a safety training video created in either an EMME style or in a standard video style to track their attention data. Finally, a perception questionnaire is administered to participants to understand their satisfaction with both types of videos. The findings from the experiment discovered that EMME-based training videos were able to better capture the attention of viewers but were not able to improve knowledge gain or provide better learner satisfaction. EMME may be incorporated into training materials that require more attention, or used to train workers on tasks that have a stronger visual component.