Bridging the Gap on the Bridge: Seafarers’ Tasks and Decision-Making With DSS in Energy-Efficient Route Planning

Mourad Zoubir et al.

Journal of Cognitive Engineering and Decision Making2025https://doi.org/10.1177/15553434251330671article
AJG 2
Weight
0.44

What the paper says

Closing energy efficiency gaps in shipping requires understanding seafarers’ operations in route planning and their preferences for assistive technology. The objective of this research was to systematically examine seafarers’ decision-making to inform human-centered decision support systems (DSSs). We conducted a hierarchical task analysis based on guidelines and expert interviews (Study 1, N = 3) and assessed key tasks using seafarers’ expectancy-value-cost ratings (S2, N = 65) via online surveys. Tidal and weather routing tasks were rated highest for energy efficiency, despite associated costs. We further examined psychological need satisfaction and preferences for human versus automated control, finding autonomy satisfaction rated significantly lower than other needs; seafarers preferred automated information processing but retained human control over decisions. Finally, post-route planning interviews using the critical decision method (S3, N = 22) highlighted the complexity of balancing goals, particularly safety, and emphasized practical experience as key in route planning and system use. All studies underscored the need for high transparency and controllability in system information and functions. Our research emphasizes understanding seafarers’ perceptions of energy-efficient operations and integrating automated support into current processes.

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https://doi.org/https://doi.org/10.1177/15553434251330671

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@article{mourad2025,
  title        = {{Bridging the Gap on the Bridge: Seafarers’ Tasks and Decision-Making With DSS in Energy-Efficient Route Planning}},
  author       = {Mourad Zoubir et al.},
  journal      = {Journal of Cognitive Engineering and Decision Making},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.1177/15553434251330671},
}

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Evidence weight

0.44

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.32 × 0.4 = 0.13
M · momentum0.57 × 0.15 = 0.09
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.