Preventing Unruly Technologies in Maritime Navigation: A Systems Approach
Paper i proceeding, 2020

The rapid development of artificial intelligence, big data, and automation have the potential to transform the maritime industry. While change is inevitable, automated solutions do not guarantee navigational safety, efficiency or improved seaway traffic management. This paper describes lessons learned throughout the Sea Traffic Management (STM) Validation project. The STM project tested low-level automation functions intended to enhance navigational safety and efficiency. The results indicate that although the additional information was useful, there may be a disruption in current working practices, and potential gaps in the existing regulatory framework, and training and skill development of future mariners. The aim of this paper is to argue for a systems approach to better understand and prevent technologies from becoming “unruly” in the maritime context. This approach will consider how the technologies impact various system elements to support a more safe and sustainable shipping industry.




Sociotechnical system


Human factors


Katie A Aylward

Chalmers, Mekanik och maritima vetenskaper, Maritima studier

Scott Mackinnon

Chalmers, Mekanik och maritima vetenskaper, Maritima studier

Monica Lundh

Chalmers, Mekanik och maritima vetenskaper, Maritima studier

Advances in Intelligent Systems and Computing

21945357 (ISSN) 2194-5365 (eISSN)

Vol. 1212 AISC 421-428

AHFE Virtual Conference on Human Factors in Transportation, 2020
San Diego, USA,

Sea Traffic Management Validation Project (STM Validation Project)

Europeiska kommissionen (EU) (INEA/CEF/TRAN/M2014/1034312), 2015-01-01 -- 2018-12-31.

VINNOVA (2015-06444), 2015-01-01 -- 2018-12-31.

Västra Götalandsregionen (DnrRUN2016-00739), 2015-01-01 -- 2018-12-31.


Produktionsteknik, arbetsvetenskap och ergonomi

Annan data- och informationsvetenskap

Övrig annan teknik


Informations- och kommunikationsteknik




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