Preventing Unruly Technologies in Maritime Navigation: A Systems Approach
Paper in proceedings, 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.

Navigation

Human-Automation

Safety

Sociotechnical system

Maritime

Human factors

Author

Katie A Aylward

Chalmers, Mechanics and Maritime Sciences, Maritime Studies, Nautical Studies

Scott Mackinnon

Chalmers, Mechanics and Maritime Sciences, Maritime Studies, Nautical Studies

Monica Lundh

Chalmers, Mechanics and Maritime Sciences, Maritime Studies, Nautical Studies

Advances in Intelligent Systems and Computing

21945357 (ISSN)

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)

European Commission (EC), 2015-01-01 -- 2018-12-31.

VINNOVA, 2015-01-01 -- 2018-12-31.

Region Västra Götaland, 2015-01-01 -- 2018-12-31.

Subject Categories

Production Engineering, Human Work Science and Ergonomics

Other Computer and Information Science

Other Engineering and Technologies not elsewhere specified

Areas of Advance

Information and Communication Technology

Transport

DOI

10.1007/978-3-030-50943-9_53

More information

Latest update

1/28/2021