Artificial Intelligence in Maritime Navigation: A Human Factors Perspective

MacKinnon, Scott; Weber, Reto; Olindersson, Fredrik; Lundh, Monica

doi:10.1007/978-3-030-50943-9_54

Cited by 10 publications

(6 citation statements)

References 6 publications

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“…However, the findings also illustrate that the goal of achieving high prediction accuracy was hindered by situating the predictor within a complex sociotechnical system, consisting of 1) the ship as a highly modularized technical system and 2) the human operator with a limited cognitive capacity. Highlighting these constraints in natural use domains for AI decisionsupport, MacKinnon et al (2020) note that the "AI paradigm is difficult to apply when considering naturalist decision-making processes and largely ignores the challenges of spatial and temporal aspects typical of navigation in complex situations". Consequentially, developers may choose to reduce the regulator variety, in Neptune's case prediction accuracy, to mitigate constraints from the sociotechnical system.…”

Section: Discussionmentioning

confidence: 99%

No Ground Truth at Sea – Developing High-Accuracy AI Decision-Support for Complex Environments

Bumann

2023

Proceedings of the Annual Hawaii International Conference on System Sciences

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As AI decision-support systems are increasingly developed for applications outside of traditional organizational confinements, developers are confronted with new sources of complexity they need to address. However, we know little about how AI applications are developed for natural use domains with high environmental complexity, stemming from physical influences outside of the developers' control. This study investigates what challenges emerge from such complexity and how developers mitigate them. Drawing upon a rich longitudinal single-case study on the development of AI decision-support for maritime navigation, findings show that achieving high output accuracy is complicated by the physical environment hindering training data creation. Further, developers chose to reduce the output accuracy and adapt the HMI design to successfully situate the AI application in an existing sociotechnical context. This study contributes to IS literature following recent calls for phenomenon-based examination of emerging challenges when extending the scope frontier of AI and provides practical recommendations for developing AI decision-support for complex environments.

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Section: Discussionmentioning

confidence: 99%

No Ground Truth at Sea – Developing High-Accuracy AI Decision-Support for Complex Environments

Bumann

2023

Proceedings of the Annual Hawaii International Conference on System Sciences

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“…MacKinnon et al [10] 2020 Explored ML applications, technology standardization, and automation enhancement in shipping.…”

Section: Artificial Intelligence In Maritime Navigationmentioning

confidence: 99%

“…MachKinnon et al [10] addressed the applications of Machine Learning (ML), regularization and standardization of technology to enhance the levels of automation in the shipping business. Jeevan et al [11] highlighted that maritime disasters, encompassing vessel collisions, grounding, fires, explosions, oil spills, marine pollution, and piracy, have significant consequences for shipowners' reputation and competitiveness.…”

Section: Introductionmentioning

confidence: 99%

The positive impact of intelligent aids to navigation on maritime transportation

Wu,

2024

Seventh International Conference on Traffic Engineering and Transportation System (ICTETS 2023)

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With the continuous advancement of technology, intelligent aids to navigation have become an integral part of modern maritime transportation. This article analyzes the application of intelligent aids to navigation in ports and waterways and explores their positive impact on maritime transportation. The study reveals that intelligent aids to navigation can provide efficient navigation and navigational assistance services, thereby improving the safety and efficiency of transportation. Furthermore, intelligent aids to navigation can achieve precise management of waterways, provide accurate navigation information, reduce the probability of accidents, and save human and material resources. Finally, this article discusses the impact of intelligent aids to navigation on economic benefits, highlighting their ability to promote the development of port economy and enhance the quality of transportation services.

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“…Ancak, deniz güvenliğinde YZ'nın kullamında sensör takmanın başlangıçta yüksek bir maliyeti olup, taşıma şirketleri için avantajlı olmamaktadır (KAIKO, 2024). YZ'nın otonom gemiler için uygulanması, gemilerin "Denizde Çatışmayı Önleme Tüzüğü (COLREG)"de yer alan dümen kurallarına göre hareket ettiği göz önüne alındığında farklı şekilde çözülebilecek trafik durumlarının karmaşıklığı nedeniyle hala ilk aşamadadır (MacKinnon, 2020). Sensör füzyonu YZ gemi tasarımı ve gemi inşasında da kullanılmaktadır (Sanders vd., 2021).…”

Section: Yapay Zekanin Uygulama Alanlari Ve Deni̇zci̇li̇k Sektöründe ...unclassified

Yapay Zeka: Deni̇zci̇li̇k Sektöründe Kullanimi Ve Swot Anali̇zi̇

Ece

2024

Mersin Üniversitesi Denizcilik Ve Lojistik Araştırmaları Dergisi

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Yapay zeka; insan zekasını taklit ederek, öğrenme, problem çözme ve karar verme gibi yetenekleri bilgisayar sistemlerine kazandıran bir teknolojidir. Yapay zeka veri analizi, algoritmalar ve çeşitli modelleme teknikleri kullanarak büyük miktarda veriyi hızlı ve doğru bir şekilde analiz edebilmekte, makinelerin insan benzeri görevleri yerine getirmesini sağlamakta ve gelecek senaryolarını tahmin edebilmektedir. Yapay zeka denizcilik sektörü ile birçok alanda yaygın olarak kullanılmaktadır. Çalışmanın amacı yapay zeka kavramını, temellerini ve teknlojilerini, yapay zekanın denizcilik ve diğer uygulama alanlarını ve bu konuda yapılan bilimsel çalışmaları incelemek ve SWOT Analizi ile yapay zekanın her alanda güçlü ve zayıf yönlerini, fırsat ve tehditlerini ortaya koymaktır. SWOT Analiz’in sonucuna göre yapay zeka birçok alanda toplumun ihtiyaçlarını karşılamak ve insanların yaşam kalitesini arttırmak için fayda sağlamakla birlikte yapay zekanın insanlardan bağımsız olarak hareket edebilme ihtimali ve doğru kullanılmaması insanlık için bir tehdit oluşturmaktadır. Yapay zeka fazla miktarda doğru ve kaliteli veri, bilgisayar gücü ve finansman gerektirmektedir. Sektör, kamu ve üniversite işbirliği geliştirilmelidir. Yapay zekanın zayıf yanlarını ortadan kaldırmak, fırsatları en iyi şekilde değerlendirmek ve tehditleri bertaraf etmek için yapay zeka politikaları ve stratejileri, yapay zeka güvenli yazılımlarının geliştirilmesi ve yapay zekaya ilişkin daha kapsamlı yasal düzenlemelerin yapılması gerekmektedir.

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Artificial Intelligence in Maritime Navigation: A Human Factors Perspective

Cited by 10 publications

References 6 publications

No Ground Truth at Sea – Developing High-Accuracy AI Decision-Support for Complex Environments

No Ground Truth at Sea – Developing High-Accuracy AI Decision-Support for Complex Environments

The positive impact of intelligent aids to navigation on maritime transportation

Yapay Zeka: Deni̇zci̇li̇k Sektöründe Kullanimi Ve Swot Anali̇zi̇

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