A Human Factors Study on the Interface Structure Design of AR-HUD for Small Vessel
Open Access
Article
Conference Proceedings
Authors: Seunghun Yoo, Hahyun Kang, Chanjong Kim, Junhong Park, Ken Nah
Abstract: Maritime collisions involving small vessels are common due to failures in recognizing other vessels, posing safety risks and economic losses. This study proposes a human factors- based augmented reality head-up display (AR-HUD) interface design tailored for enhancing small vessel navigation and situation awareness. Unlike existing auditory solutions, the AR- HUD integrates real and virtual navigational information through graphics prioritizing rapid recognition, color-coding following ISO safety guidelines, and a layout utilizing horizon- based zoning with a central field-of-view focused on essential user vessel and other vessel data. Developed by reviewing prior AR and HUD research and analyzing navigation software products, this intuitive, prioritized information presentation aims to minimize cognitive errors for operators, enhance operational safety, reduce collisions and pollution, while providing a foundation for further maritime AR-HUD research.
Keywords: AR-HUD, Interface Design, Boat Navigation, Human Factors
DOI: 10.54941/ahfe1005439
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