Operationalising automation transparency for maritime collision avoidance

• Autorzy: van de Merwe K. , Mallam S. , Engelhardtsen Ø. , Nazir S.

Identyfikatory

DOI

10.12716/1001.17.02.09

• Języki publikacji: EN

Abstrakty

EN

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.

Słowa kluczowe

EN

automation transparency; collision avoidance; human machine interface; human centrered design; supervisory control; anti-collision maneuvering; human-automation interaction; maritime autonomous surface ships

• Wydawca: Faculty of Navigation, Gdynia Maritime University
• Czasopismo: TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
• Rocznik: 2023
• Tom: Vol. 17 No. 2
• Strony: 333--339
• Opis fizyczny: Bibliogr. 24 poz., rys., tab.

Twórcy

autor

van de Merwe K.

• DNV-GL, Akershus, Høvik, Norway
• University of South-Eastern Norway, Borre, Norway

autor

Mallam S.

• University of South-Eastern Norway, Borre, Norway
• Memorial University of Newfoundland, NL, St. John’s, Canada

autor

Engelhardtsen Ø.

• DNV-GL, Akershus, Høvik, Norway

autor

Nazir S.

• University of South-Eastern Norway, Borre, Norway

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).