Abstract
Despite advanced technologies on modern ships, accidents are nevertheless influenced by human factors [1]. Several key characteristics have been recognised as significant contributors to events, specifically fatigue, inadequate communication, inadequate maintenance practises, insufficient training, improper situation assessment, high mental workload, limited situational awareness, and high stress levels [2,3,4]. In order to investigate the risk analysis pertaining to human factors in marine accidents, it is essential to examine and assess variables that pose challenges in quantification within accident reports. These variables include mental workload and situational awareness. Eye-tracking technology has been widely utilised across several disciplines for a range of objectives. In a broad sense, eye-tracking technologies offer a method to collect a diverse range of eye movements that serve as indicators of various cognitive, emotional, and physiological states in humans, all in real-time. This technology can facilitate a more comprehensive comprehension of the human brain across a range of settings. Eye-tracking technology, an objective measurement, is a recently developed methodology within the marine industry. The present study offers a valuable chance to enhance comprehension of eye-tracking applications within the marine sector by conducting a pilot experiment in a bridge simulator. The pilot research findings and the subsequent analysis of ideas and applications of the eye tracker make a valuable contribution to the ongoing development and exploration of eye movement studies as an objective indicator in maritime operations.
Original language | English |
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Journal | Proceedings of the International Association of Maritime Universities Conference |
Volume | 2023-October |
Publication status | Published - 2023 |
Event | 23rd International Association of Maritime Universities Annual General Assembly and Conference, AGA 2023 - Helsinki, Finland Duration: 18 Oct 2023 → 21 Oct 2023 |
Bibliographical note
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