Go deeper, go deeper: understanding submarine command and control during the completion of dived tracking operations
Go deeper, go deeper: understanding submarine command and control during the completion of dived tracking operations
This is a world's first-of-a-kind study providing empirical evidence for understanding submarine control room performance when completing higher and lower demand Dived Tracking (DT) scenarios. A submarine control room simulator was built, using a non-commercial version of Dangerous Waters as the simulation engine. The creation of networked workstations allowed a team of nine operators to perform tasks completed by submarine command teams during DT. The Event Analysis of Systemic Teamwork (EAST) method was used to model the social, task and information networks and describe command team performance. Ten teams were recruited for the study, affording statistical comparisons of how command team roles and level of demand affected performance. Results indicate that command teams can covertly DT a contact differently depending on demand (e.g. volume of contacts). In low demand it was possible to use periscope more often than in high demand, in a ‘duck-and-run’ fashion. Therefore, the type of information and frequency of particular task completion, was significantly different between the higher and lower demand conditions. This resulted in different operators in the command team experiencing greater demand depending on how the DT mission objective was completed. Potential bottlenecks in the command team were identified and implications are discussed alongside suggestions for future work.
Command and control, Networks, Submarine, Team work
162-175
Roberts, Aaron P.J.
a2fb35d9-a42f-4a07-848d-01cecae9d893
Stanton, Neville A.
351a44ab-09a0-422a-a738-01df1fe0fadd
Fay, Daniel T.
7db57379-3af4-4554-9358-717ffec9df48
1 May 2018
Roberts, Aaron P.J.
a2fb35d9-a42f-4a07-848d-01cecae9d893
Stanton, Neville A.
351a44ab-09a0-422a-a738-01df1fe0fadd
Fay, Daniel T.
7db57379-3af4-4554-9358-717ffec9df48
Roberts, Aaron P.J., Stanton, Neville A. and Fay, Daniel T.
(2018)
Go deeper, go deeper: understanding submarine command and control during the completion of dived tracking operations.
Applied Ergonomics, 69, .
(doi:10.1016/j.apergo.2018.02.003).
Abstract
This is a world's first-of-a-kind study providing empirical evidence for understanding submarine control room performance when completing higher and lower demand Dived Tracking (DT) scenarios. A submarine control room simulator was built, using a non-commercial version of Dangerous Waters as the simulation engine. The creation of networked workstations allowed a team of nine operators to perform tasks completed by submarine command teams during DT. The Event Analysis of Systemic Teamwork (EAST) method was used to model the social, task and information networks and describe command team performance. Ten teams were recruited for the study, affording statistical comparisons of how command team roles and level of demand affected performance. Results indicate that command teams can covertly DT a contact differently depending on demand (e.g. volume of contacts). In low demand it was possible to use periscope more often than in high demand, in a ‘duck-and-run’ fashion. Therefore, the type of information and frequency of particular task completion, was significantly different between the higher and lower demand conditions. This resulted in different operators in the command team experiencing greater demand depending on how the DT mission objective was completed. Potential bottlenecks in the command team were identified and implications are discussed alongside suggestions for future work.
Text
Roberts_2018_Go Deeper Go Deeper Understanding submarine command and control during the completion of dived tracking operations
- Accepted Manuscript
More information
Accepted/In Press date: 5 February 2018
e-pub ahead of print date: 21 February 2018
Published date: 1 May 2018
Keywords:
Command and control, Networks, Submarine, Team work
Identifiers
Local EPrints ID: 419007
URI: http://eprints.soton.ac.uk/id/eprint/419007
ISSN: 0003-6870
PURE UUID: 0941030f-b975-4998-9540-885f5ece571c
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Date deposited: 27 Mar 2018 16:31
Last modified: 18 Mar 2024 05:16
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