Optimising the balance between task automation and human manual control in simulated submarine track management

Stephanie Chen

doi:10.26182/5cca7ea2c48ff

Optimising the balance between task automation and human manual control in simulated submarine track management

Stephanie Chen

School of Psychological Science

Research output: Thesis › Doctoral Thesis

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Abstract

Automation can improve operator performance and reduce workload, but can also degrade operator situation awareness (SA) and the ability to regain manual control. This project explored strategies for automation design through low-level automation and limiting automation to periods of higher workload. We found the automation still provided limited benefit to workload and performance, but SA was still degraded. Performance on a concurrent non-automated task was also degraded. We concluded that the cost of automation might not be sufficiently mitigated with these strategies, and that more work is needed to ensure that operators perform optimally during automation support.

Original language	English
Qualification	Doctor of Philosophy
Awarding Institution	The University of Western Australia
Supervisors/Advisors	Visser, Troy, Supervisor Loft, Shayne, Supervisor Huf, Samuel, Supervisor, External person
Award date	18 Mar 2019
DOIs	https://doi.org/10.26182/5cca7ea2c48ff
Publication status	Unpublished - 2019

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THESIS - DOCTOR OF PHILOSOPHY - CHEN Stephanie Irene - 2019
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Cite this

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AB - Automation can improve operator performance and reduce workload, but can also degrade operator situation awareness (SA) and the ability to regain manual control. This project explored strategies for automation design through low-level automation and limiting automation to periods of higher workload. We found the automation still provided limited benefit to workload and performance, but SA was still degraded. Performance on a concurrent non-automated task was also degraded. We concluded that the cost of automation might not be sufficiently mitigated with these strategies, and that more work is needed to ensure that operators perform optimally during automation support.

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Optimising the balance between task automation and human manual control in simulated submarine track management

Abstract

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