Evaluation of UAS Camera Operator Interfaces in a Simulated Task Environment: An Optical Brain Imaging Approach
In this paper we focus on the effect of different interface designs on the performance and cognitive workload of sensor operators (SO) during a target detection task in a simulated environment. Functional near-infrared (fNIR) spectroscopy is used to investigate whether there is a relationship between target detection performance across three SO interfaces and brain activation data obtained from the subjects’ prefrontal cortices that are associated with relevant higher-order cognitive functions such as attention, response selection and decision making. The preliminary findings of the study suggest that brain regions in the vicinity of medial frontal gyrus of the right hemisphere respond differentially to the cognitive workload induced by different interfaces.
KeywordsOptical brain imaging functional near-infrared spectroscopy target detection interface evaluation UAS camera operators
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