Collaborative Work with Highly Automated Marine Navigation Systems

dc.contributor.authorVeitch, Erik
dc.contributor.authorDybvik, Henrikke
dc.contributor.authorSteinert, Martin
dc.contributor.authorAlsos, Ole Andreas
dc.date45352
dc.date.accessioned2024-08-02T05:23:11Z
dc.date.available2024-08-02T05:23:11Z
dc.date.issued2024
dc.description.abstractIn navigation applications, Artificial Intelligence (AI) can improve efficiency and decision making. It is not clear, however, how designers should account for human cooperation when integrating AI systems in navigation work. In a novel empirical study, we examine the transition in the maritime domain towards higher levels of machine autonomy. Our method involved interviewing technology designers (n = 9) and navigators aboard two partially automated ferries (n = 5), as well as collecting field observations aboard one of the ferries. The results indicated a discrepancy between how designers construed human-AI collaboration compared to navigators’ own accounts in the field. Navigators reflected upon their role as one of ‘backup,’ defined by ad-hoc control takeovers from the automation. Designers positioned navigators ‘in the loop’ of a larger control system but discounted the role of in-situ skills and heuristic decision making in all but the most controlled takeover actions. The discrepancy shed light on how integration of AI systems may be better aligned to human cooperation in navigation. This included designing AI systems that render computational activities more visible and that incorporate social cues that articulate human work in its natural setting. Positioned within the field of AI alignment research, the main contribution is a formulation of human-AI interaction design insights for future navigation and control room work.de
dc.identifier.doi10.1007/s10606-022-09450-7
dc.identifier.issn1573-7551
dc.identifier.urihttp://dx.doi.org/10.1007/s10606-022-09450-7
dc.identifier.urihttps://dl.eusset.eu/handle/20.500.12015/5147
dc.publisherSpringer
dc.relation.ispartofComputer Supported Cooperative Work (CSCW): Vol. 33, No. 1
dc.relation.ispartofseriesComputer Supported Cooperative Work (CSCW)
dc.subjectArtificial intelligence
dc.subjectAutonomous ships
dc.subjectCollaborative work
dc.subjectControl rooms
dc.subjectHuman–computer interaction
dc.subjectInteraction design
dc.subjectNavigation
dc.titleCollaborative Work with Highly Automated Marine Navigation Systemsde
dc.typeText/Journal Article
mci.reference.pages14062

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