Multi-Ship Remote Operations: Workload, Attention, and Situation Awareness¶

Status: emerging
Last updated: 2026-05-31
Sources: Multi Ship Remote Operations Attention Workload Sa Research.Md
Tags: [multi-ship-operations, remote-operations, situational-awareness, workload, attention, mass, roc, atc, remote-tower, uav, one-to-many]

Summary¶

Supervising several vehicles from one workstation is a shared problem across maritime ROCs, air traffic control, multiple remote tower operations, and multi-UAV control, and the three constraints that recur are operator workload, attention allocation, and situation awareness (claude2026multishipresearch). A research compilation across these domains reports an inverted-U relationship between mental workload and performance, a persistent tension between boredom during routine monitoring and overload during simultaneous critical events, and consistently reduced situation awareness relative to manned or local operation. The compilation is a secondary digest of web-sourced primary studies and is treated as emerging pending verification of those primaries.

Body¶

Context¶

This article rests on a single secondary source: a 2026 research compilation (claude2026multishipresearch) that digests web-sourced primary studies on supervising several vehicles from one workstation across maritime ROCs, air traffic control, multiple remote tower operations, and multi-UAV control. It is treated as emerging pending verification of the underlying primaries. The recurring constraints it draws out are operator workload, attention allocation, and situation awareness. Within this knowledge base it is the cross-domain workload strand: it tests the ROC sizing assumptions of Remote Operation Centres Mass against ATC and UAV evidence, supplies the vigilance and overload pressures behind the out-of-the-loop problem in Human In The Loop Automation Transparency, and connects to the calibrated-trust concern in Trust In Human Autonomy Teaming. Because the digest is a non-paginated web-document compilation, locators below cite its section headings rather than pages.

Key Points¶

In the maritime domain, the compilation reports a one-operator, two-ship MASS remote-control simulation finding an inverted-U relationship between mental workload and performance consistent with the Yerkes-Dodson Law, with operator experience and time of day mattering more than task difficulty (§ 1.1 One-Operator-Two-Ship Control Studies). It also recalls the MUNIN finding of roughly 145 data points per ship needing monitoring and an initial assumption that six ships could be actively monitored in low-workload periods (§ 1.2 MUNIN Project Findings), alongside boredom as a significant human factor during ocean passages (§ 1.3 Shore Control Center Challenges). These figures align with the ROC sizing recorded in Remote Operation Centres Mass.

Across air traffic control and remote towers, the compilation reports that en-route controllers reduce attention to less-important aircraft under high workload to preserve awareness of priority traffic (§ 2.1 Workload and Operational Errors), and that in Multiple Remote Tower Operations augmented visualisation let a single controller perform tasks originally designed for four — but with significantly higher mental, temporal, and effort demands, and a risk that a critical event overloads the single operator (§ 3.1 Multiple Remote Tower Operations Human Factors). Eye-movement research in MRTO highlights the difficulty of maintaining a separate mental picture for each aerodrome and switching quickly between them (§ 3.3 Eye Movement Research in MRTO), a multi-asset SA problem also seen in maritime fleet monitoring.

In the UAV domain, the compilation reports that management-by-consent outperformed both more autonomous (management-by-exception) and less autonomous (manual) control in multi-UAV target acquisition (§ 4.1 Workload Analysis in Multi-UAV Control), and that NASA's M:N paradigm — multiple operators sharing multiple assets — provides force multiplication and lets operators hand off vehicles to specialists when workload spikes (§ 4.2 M:N Control Paradigm). This suggests the one-to-many ratio is mediated by automation level and team organisation rather than fixed.

Synthesising across domains, the compilation identifies thirteen recurring human-factor issue groups for remote ship operations — including workload management, situation-awareness maintenance, trust in automation, boredom and vigilance, and overload during simultaneous critical events (§ 5.1 Human Factor Issues Across Domains).

Conclusion¶

The compilation (claude2026multishipresearch) draws a consistent cross-domain pattern: routine monitoring induces boredom and vigilance decrement, concurrent critical events threaten overload, and situation awareness is harder to build remotely than on site, with the workable one-to-many ratio depending on automation level and team organisation. Because the source is a secondary digest of web-sourced primaries, these conclusions are held as emerging pending ingestion of the underlying studies. The themes connect to the out-of-the-loop and transparency responses in Human In The Loop Automation Transparency and to calibrated trust in Trust In Human Autonomy Teaming.

References¶

Claude (research compilation) (2026) Multi-Ship Remote Operations: Attention, Workload, and Situational Awareness - Research Compilation. claude2026multishipresearch

Open Questions¶

This article rests on a secondary web-research digest; the underlying primary studies (Hwang et al. 2025, Kearney et al. 2020, NASA MOMU 2018, MDPI 2021, and others listed in the digest) should be ingested individually before claims are promoted to established.
The one-to-many operator ratio varies by domain, automation level, and traffic; the corpus has no unified model reconciling the maritime ~6-ship assumption with ATC and UAV findings.