Journal is indexed in following databases:

2022 Journal Impact Factor - 0.6
2022 CiteScore - 1.7




ISSN 2083-6473
ISSN 2083-6481 (electronic version)




Associate Editor
Prof. Tomasz Neumann

Published by
TransNav, Faculty of Navigation
Gdynia Maritime University
3, John Paul II Avenue
81-345 Gdynia, POLAND
Operationalising Automation Transparency for Maritime Collision Avoidance
1 DNV-GL, Akershus, Høvik, Norway
2 University of South-Eastern Norway, Borre, Norway
3 Memorial University of Newfoundland, Newfoundland and Labrador, St. John’s, Canada
Times cited (SCOPUS): 1
ABSTRACT: Automation transparency is a means to provide understandability and predictability of autonomous systems by disclosing what the system is currently doing, why it is doing it, and what it will do next. To support human supervision of autonomous collision avoidance systems, insight into the system’s internal reasoning is an important prerequisite. However, there is limited knowledge regarding transparency in this domain and its relationship to human supervisory performance. Therefore, this paper aims to investigate how an information processing model and a cognitive task analysis could be used to drive the development of transparency concepts. Also, realistic traffic situations, reflecting the variation in collision type and context that can occur in real-life, were developed to empirically evaluate these concepts. Together, these activities provide the groundwork for exploring the relation between transparency and human performance variables in the autonomous maritime context.
L. Kretschmann, H. C. Burmeister, and C. Jahn, “Analyzing the economic benefit of unmanned autonomous ships: An exploratory cost-comparison between an autonomous and a conventional bulk carrier,” Research in Transportation Business and Management, vol. 25, pp. 76–86, 2017, doi: 10.1016/j.rtbm.2017.06.002. - doi:10.1016/j.rtbm.2017.06.002
I. Kurt and M. Aymelek, “Operational and economic advantages of autonomous ships and their perceived impacts on port operations,” Marit Econ Logist, vol. 24, no. 2, pp. 302–326, Jun. 2022, doi: 10.1057/s41278-022-00213-1. - doi:10.1057/s41278-022-00213-1
K. Wróbel, J. Montewka, and P. Kujala, “Towards the assessment of potential impact of unmanned vessels on maritime transportation safety,” Reliab Eng Syst Saf, vol. 165, pp. 155–169, 2017, doi: 10.1016/j.ress.2017.03.029. - doi:10.1016/j.ress.2017.03.029
Kongsberg, “Kongsberg maritime and Massterly to equip and operate two zero-emission autonomous vessels for ASKO,” Sep. 01, 2020. (accessed Nov. 18, 2020).
Yara International, “Yara Birkeland,” 2021. (accessed Jan. 02, 2023).
DNV, “DNVGL-CG-0264: Autonomous and remotely operated ships.” 2018. [Online]. Available:
IMO, Resolution A.1047(27) Principles of safe manning. 2011.
IMO, “Guidelines for the approval of alternatives and equivalents as provided for in various IMO instruments,” MSC.1/Circ.1455, Jun. 2013.
K. Aylward, R. Weber, M. Lundh, S. N. MacKinnon, and J. Dahlman, “Navigators’ views of a collision avoidance decision support system for maritime navigation,” J. Navigation, pp. 1–14, Sep. 2022, doi: 10.1017/S0373463322000510. - doi:10.1017/S0373463322000510
E. Hannaford, P. Maes, and E. Van Hassel, “Autonomous ships and the collision avoidance regulations: a licensed deck officer survey,” WMU J Marit Affairs, vol. 21, no. 2, pp. 233–266, Jun. 2022, doi: 10.1007/s13437-022-00269-z. - doi:10.1007/s13437-022-00269-z
M. A. Ramos, I. B. Utne, and A. Mosleh, “Collision avoidance on maritime autonomous surface ships: Operators’ tasks and human failure events,” Saf Sci, vol. 116, pp. 33–44, 2019, doi: 10.1016/j.ssci.2019.02.038. - doi:10.1016/j.ssci.2019.02.038
K. van de Merwe, S. C. Mallam, Ø. Engelhardtsen, and S. Nazir, “Exploring navigator roles and tasks in transitioning towards supervisory control of autonomous collision avoidance systems,” J. Phys.: Conf. Ser., vol. 2311, no. 1, p. 012017, Jul. 2022, doi: - doi:10.1088/1742-6596/2311/1/012017
S. N. Mackinnon, Y. Man, M. Lundh, and T. Porathe, “Command and control of unmanned vessels: Keeping shore based operators in-the-loop,” 18th International Conference on Ships and Shipping Research, NAV 2015, pp. 612–619, 2015.
K. van de Merwe, S. Mallam, Ø. Engelhardtsen, and S. Nazir, “Supporting human supervision in autonomous collision avoidance through system transparency: a structured and systematic approach,” under review.
M. R. Endsley, “From Here to Autonomy: Lessons Learned from Human-Automation Research,” Hum Factors, vol. 59, no. 1, pp. 5–27, 2017, doi: 10.1177/0018720816681350. - doi:10.1177/0018720816681350
M. R. Endsley, “Supporting Human-AI Teams:Transparency, explainability, and situation awareness,” Computers in Human Behavior, vol. 140, p. 107574, Mar. 2023, doi: 10.1016/j.chb.2022.107574. - doi:10.1016/j.chb.2022.107574
J. Y. C. Chen, K. Procci, M. Boyce, J. Wright, A. Garcia, and M. J. Barnes, “Situation Awareness-Based Agent Transparency,” U.S. Army Research Laboratory, Aberdeen Proving Ground, ARL-TR-6905, Apr. 2014. doi: 10.21236/ADA600351. - doi:10.21236/ADA600351
J. Y. C. Chen, S. G. Lakhmani, K. Stowers, A. R. Selkowitz, J. L. Wright, and M. J. Barnes, “Situation awareness-based agent transparency and human-autonomy teaming effectiveness,” Theor Issues Ergon Sci, vol. 19, no. 3, pp. 259–282, May 2018, doi: 10.1080/1463922X.2017.1315750. - doi:10.1080/1463922X.2017.1315750
M. R. Endsley, B. Bolté, and D. G. Jones, Designing for situation awareness: an approach to user-centered design. London ; New York: Taylor & Francis, 2003.
A. Bhaskara, M. Skinner, and S. Loft, “Agent Transparency: A Review of Current Theory and Evidence,” IEEE Trans Hum Mach Syst, vol. 50, no. 3, pp. 215–224, Jun. 2020, doi: 10.1109/THMS.2020.2965529. - doi:10.1109/THMS.2020.2965529
F. Rajabiyazdi and G. A. Jamieson, “A Review of Transparency (seeing-into) Models,” in 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC), Oct. 2020, pp. 302–308. doi: 10.1109/SMC42975.2020.9282970. - doi:10.1109/SMC42975.2020.9282970
K. van de Merwe, S. Mallam, and S. Nazir, “Agent Transparency, Situation Awareness, Mental Workload, and Operator Performance: A Systematic Literature Review,” Hum Factors, p. 00187208221077804, Mar. 2022, doi: 10.1177/00187208221077804. - doi:10.1177/00187208221077804
K. van de Merwe, S. Mallam, Ø. Engelhardtsen, and S. Nazir, “Supporting human supervisory performance through information disclosure: establishing transparency requirements for maritime collision avoidance,” in Proceedings of the Human Factors Society Annual Meeting, Orlando, FL, submitted.
R. Parasuraman, T. B. Sheridan, and C. D. Wickens, “A model for types and levels of human interaction with automation,” IEEE Trans Syst Man Cybern, vol. 30, no. 3, pp. 286–297, May 2000, doi: 10.1109/3468.844354. - doi:10.1109/3468.844354
Citation note:
van de Merwe K., Mallam S., Engelhardtsen Ø., Nazir S.: Operationalising Automation Transparency for Maritime Collision Avoidance. TransNav, the International Journal on Marine Navigation and Safety of Sea Transportation, Vol. 17, No. 2, doi:10.12716/1001.17.02.09, pp. 333-339, 2023
Authors in other databases:
Øystein Engelhardtsen: Scopus icon35097285900 Scholar icon2dNDYz0AAAAJ

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