Abstract
Closing energy efficiency gaps in shipping to support climate goals requires understanding seafarers' operations during energy-efficient route planning (EERP) and their preferences for assistive technology. We developed a Hierarchical Task Analysis informed by international guidelines and expert interviews (Study 1, N = 3), and assessed key tasks regarding expectancy-value-cost ratings by nautical officers (S2, N = 65) through online surveys. Seafarers rated tasks such as tidal- and weather routing highest for energy efficiency, despite associated costs. We further evaluated psychological need satisfaction at work and preferences for human versus automated control in EERP. Autonomy satisfaction was rated significantly lower than other needs, and seafarers prefered automated information processing, but human control over decision selection. Finally, we conducted interviews using the Critical Decision Method with seafarers (S3, N = 22) after EERP with a Decision Support System on a professional ship-bridge simulator. Interviews revealed the complexity of balancing goals, especially safety, and highlighted practical experience as a crucial factor in route planning and system use. All studies underlined that effective support requires high transparency and controllability of system information and functions. Our research emphasizes the importance of understanding seafarers' perceptions of energy-efficient operations and closely integrating automated support into existing processes.
| Originalsprache | Englisch |
|---|---|
| Zeitschrift | Journal of Cognitive Engineering and Decision Making |
| Jahrgang | 19 |
| Ausgabenummer | 3 |
| Seiten (von - bis) | 335-363 |
| Seitenumfang | 29 |
| DOIs | |
| Publikationsstatus | Veröffentlicht - 09.2025 |
Fördermittel
The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This study was supported by the collaborative project MariDATA\u2014\u201CComprehensive technologies for ship energy management.\u201D Financial support was provided by the German Federal Ministry of Economic Affairs and Climate Policy, Grant No.: 03SX528H. Statements in this paper reflect the authors\u2019 views and do not necessarily reflect those of the funding agencies or of the partners in the MariDATA project.
| Träger | Trägernummer |
|---|---|
| German Federal Ministry of Economic Affairs and Climate Policy | 03SX528H |
UN SDGs
Dieser Output leistet einen Beitrag zu folgendem(n) Ziel(en) für nachhaltige Entwicklung
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SDG 9 – Industrie, Innovation und Infrastruktur
DFG-Fachsystematik
- 4.41-05 Arbeitswissenschaft, Ergonomie, Mensch-Maschine-Systeme
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