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Decision-Making While Interacting With Unmanned Vessels
CINAV, Escola Naval, Instituto Universitário Militar, Almada, Portugal; Chalmers School of Maritime Studies, Chalmers University of Technology, Gothenburg, Sweden.ORCID iD: 0000-0003-3689-9954
CINAV, Escola Naval, Instituto Universitário Militar, Almada, Portugal.
CINAV, Escola Naval, Instituto Universitário Militar, Almada, Portugal.ORCID iD: 0000-0003-1886-9938
Swedish National Road and Transport Research Institute, Traffic and road users, Driver and vehicle.
2023 (English)In: Human Interaction & Emerging Technologies (IHIET 2023): Artificial Intelligence & Future Applications / [ed] Tareq Ahram; Redha Taiar, AHFE Open Access , 2023, Vol. 111, p. 584-594Conference paper, Published paper (Refereed)
Abstract [en]

This paper aims to share relevant findings regarding trust towards unmanned vessels during decision-making processes. The methodological approach used questionnaires and six simulated cases, where we conducted an experimental study to assess how the decisions made by participants change when interacting with unmanned vessels. The main results showed no evidence of a relationship between Automated Vessel confidence and age or expertise level. However, we found a tendency to adjust the decision when encountering an Automated Vessel or the possibility of being one. Among the possible practical implications, we have an improved understanding of how the perceived status of the encountered vessels affects the pilot’s trust and decision-making. Recognising that trust in automation is an influential critical factor, we adopted existing framework models to evaluate the participants’ perceptions of Maritime Autonomous Surface Ships (MASS) as classified by the International Maritime Organization.

Place, publisher, year, edition, pages
AHFE Open Access , 2023. Vol. 111, p. 584-594
Keywords [en]
Trust in automation, Mass, Autonomous ships, Safety, Decision-making
National Category
Vehicle and Aerospace Engineering Production Engineering, Human Work Science and Ergonomics
Identifiers
URN: urn:nbn:se:vti:diva-22809ISBN: 9781958651872 (electronic)OAI: oai:DiVA.org:vti-22809DiVA, id: diva2:2073067
Conference
10th International Conference on Human Interaction & Emerging Technologies, Nice, France, August 22-24, 2023.
Projects
MEDEA
Funder
EU, Horizon 2020, 787111Available from: 2026-06-16 Created: 2026-06-16 Last updated: 2026-06-16Bibliographically approved

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Dahlman, Joakim

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5678910118 of 14
CiteExportLink to record
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Citation style
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