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Cognitive models of unmanned aerial vehicle operators

Citation

Heathcote, A and Vuckovic, A and Palada, HD and Neal, A and Samuels, K and Halsall, S and Martin, R, Cognitive models of unmanned aerial vehicle operators, Future Land Force Conference 2014, 24-25 September 2014, Brisbane, Australia, pp. 1-2. (2014) [Refereed Conference Paper]


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Official URL: http://www.dst.defence.gov.au/event/flfc2014

Abstract

We evaluate whether cognitive models of rapid choice can be used to understand the underlying factors affecting performance in a multi-tasking environment. Participants perform a simulated unmanned aerial vehicle navigation and target detection task under differing degrees of time pressure and target-discrimination difficulty. We fit choice models to operator data to identify the underlying psychological factors that determine observed operator performance, and discuss practical implications.

Item Details

Item Type:Refereed Conference Paper
Keywords:unmanned aeriel vehicles; operator modeling; evidence accumulation modeling; workload
Research Division:Psychology and Cognitive Sciences
Research Group:Cognitive Sciences
Research Field:Decision Making
Objective Division:Expanding Knowledge
Objective Group:Expanding Knowledge
Objective Field:Expanding Knowledge in Psychology and Cognitive Sciences
Author:Heathcote, A (Professor Andrew Heathcote)
ID Code:99368
Year Published:2014
Deposited By:Medicine (Discipline)
Deposited On:2015-03-23
Last Modified:2017-11-07
Downloads:2 View Download Statistics

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