Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/129757
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Type: Journal article
Title: Effect of automation transparency in the management of multiple unmanned vehicles
Author: Bhaskara, A.
Duong, L.
Brooks, J.
Li, R.
McInerney, R.
Skinner, M.
Pongracic, H.
Loft, S.
Citation: Applied Ergonomics: human factors in technology and society, 2021; 90:1-14
Publisher: Elsevier
Issue Date: 2021
ISSN: 0003-6870
1872-9126
Statement of
Responsibility: 
Adella Bhaskara, Lain Duong, James Brook, Ryan Li, Ronan McInerney, Michael Skinner, Helen Pongracic, Shayne Loft
Abstract: Automated decision aids can undoubtedly benefit system performance, but have the potential to provide incorrect advice, creating the possibility for automation disuse or misuse. This paper examined the extent to which increased automation transparency could improve the accuracy of automation use in a simulation of unmanned vehicle control. Participants were required to assign the best unmanned vehicle to complete missions. An automated recommender system provided advice but was not always reliable. Three levels of automation transparency were manipulated between-participants. Providing transparency regarding the reasoning underlying automated recommendations improved the accuracy of automation use, with no cost to decision time or subjective workload. Higher transparency in the form of projected decision outcome visualizations led to faster decisions, but less accurate automation use and an automation bias. Implications for the design of transparent interfaces to improve human-autonomy teaming outcomes in time-pressured environments are discussed.
Keywords: Automation; human-autonomy teaming; unmanned vehicles
Rights: © 2020 Elsevier Ltd. All rights reserved.
DOI: 10.1016/j.apergo.2020.103243
Grant ID: http://purl.org/au-research/grants/arc/DP160100575
Appears in Collections:Aurora harvest 8
Psychology publications

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