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Keywords = maritime human–automation relationship

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28 pages, 6861 KiB  
Article
Data-Driven Simulation of Navigator Stress in Close-Quarter Ship Encounters: Insights for Maritime Risk Assessment and Intelligent Training Design
by Joe Ronald Kurniawan Bokau, Youngsoo Park and Daewon Kim
Appl. Sci. 2025, 15(14), 7630; https://doi.org/10.3390/app15147630 - 8 Jul 2025
Viewed by 224
Abstract
This study presents a data-driven analysis of navigator stress and workload levels in simulated ship encounters within restricted waters, leveraging real-world automatic identification system (AIS) data from Makassar Port, Indonesia. Six close-quarter scenarios were recreated to reflect critical encounter geometries, and 24 Indonesian [...] Read more.
This study presents a data-driven analysis of navigator stress and workload levels in simulated ship encounters within restricted waters, leveraging real-world automatic identification system (AIS) data from Makassar Port, Indonesia. Six close-quarter scenarios were recreated to reflect critical encounter geometries, and 24 Indonesian seafarers were evaluated using heart rate variability (HRV), perceived stress scale (PSS), and task load index (NASA-TLX) workload assessments. The results indicate that crossing angles, particularly 135° port and starboard encounters, significantly influence physiological stress levels, with age being a moderating factor. Although no consistent relationship was found between workload and HRV metrics, the findings underscore key human factors that may impair navigational performance under cognitively demanding conditions. By integrating AIS-derived traffic data with simulation-based human performance monitoring, this study supports the development of intelligent maritime training frameworks and adaptive decision support systems. The research contributes to broader efforts toward enhancing navigational safety and situational awareness amid increasing automation and traffic densities at sea. Full article
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21 pages, 6234 KiB  
Article
Ship Intrusion Collision Risk Model Based on a Dynamic Elliptical Domain
by Weifeng Li, Lufeng Zhong, Yaochen Liu and Guoyou Shi
J. Mar. Sci. Eng. 2023, 11(6), 1122; https://doi.org/10.3390/jmse11061122 - 26 May 2023
Cited by 8 | Viewed by 2271
Abstract
To improve navigation safety in maritime environments, a key step is to reduce the influence of human factors on the risk assessment of ship collisions by automating the decision-making process as much as possible. This paper optimizes a dynamic elliptical ship domain based [...] Read more.
To improve navigation safety in maritime environments, a key step is to reduce the influence of human factors on the risk assessment of ship collisions by automating the decision-making process as much as possible. This paper optimizes a dynamic elliptical ship domain based on Automatic Identification System (AIS) data, combines the relative motion between ships in different encounter situations and the level of ship intrusion in the domain, and proposes a ship intrusion collision risk (SICR) model. The simulation results show that the optimized ship domain meets the visualization requirements, and the intrusion model has good collision risk perception ability, which can be used as the evaluation standard of ship collision risk: when the SICR is 0.5–0.6, the ship can establish a collaborative collision avoidance decision-making relationship with other ships, and the action ship can take effective collision avoidance action at the best time when the SICR is between 0.3 and 0.5. The SICR model can give navigators a more accurate and rapid perception of navigation risks, enabling timely maneuvering decisions, and improving navigation safety. Full article
(This article belongs to the Special Issue Application of Advanced Technologies in Maritime Safety)
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21 pages, 2020 KiB  
Article
Perception of Autonomy and the Role of Experience within the Maritime Industry
by Jevon Chan, David Golightly, Rose Norman and Kayvan Pazouki
J. Mar. Sci. Eng. 2023, 11(2), 258; https://doi.org/10.3390/jmse11020258 - 21 Jan 2023
Cited by 10 | Viewed by 3584
Abstract
The seafaring occupation will soon evolve as human operators transition to a more supervisory role for autonomous systems onboard. Therefore, gaining a greater understanding of the mindset that officers have towards the world of autonomy will aid the maritime industry by developing a [...] Read more.
The seafaring occupation will soon evolve as human operators transition to a more supervisory role for autonomous systems onboard. Therefore, gaining a greater understanding of the mindset that officers have towards the world of autonomy will aid the maritime industry by developing a baseline for future navigational training. This paper examines the perceptions and attitudes of 100 navigational seafaring participants of varying navigational ranks and levels of seagoing experience. The aim of the study was to identify the perceptions and self-conscious trust that current seafarers have towards automated and future autonomous systems. Participants were issued a situational judgement test comprising of three questions, allowing them to assess and respond to a hazardous scenario. The results of the study found that seafarers are receptive towards the introduction of autonomous shipping. Furthermore, the participants showed an awareness of what autonomous shipping would mean for the maritime industry. However, concerns remain about the responsibility and safety of the vessel in the event of the introduction of an unmanned vessel. Moreover, when comparing opinions and trust levels among the cohort of ranks, it was found that participants of a higher rank had a similar outlook towards autonomy to that of the less experienced groups. Full article
(This article belongs to the Special Issue Marine Navigation and Safety at Sea)
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