Description
ABSTRACT: Recent advancements in warfare emphasize the integration of new technologies and automation, particularly in response to evolving conflict scenarios. In the field of armoured vehicles, there is a growing trend toward reducing the number of operators within the vehicle cockpit by capitalizing on the advantages provided by autonomous systems. This study, conducted within the framework of a research-industry consortium, evaluated a prototype of a highly automated turret interface designed to enhance operators' situational awareness while reducing the impact on cognitive load.A total of 11 participants conducted 12 simulated scenarios representing a typical armoured vehicle detection and engagement task (i.e. the primary task) under two distinctive cognitive load conditions. Under a Low cognitive load condition, participants only performed primary task, while during the high cognitive load condition, participants were asked to simultaneously performed an auditory n-back task alongside the primary task. Cognitive load was assessed through both subjective self-reports using an adapted version of the NASA TLX and objective physiological measures, specifically pupil size responses.
The results indicated significant differences in both subjective and objective measures of cognitive load between the low and high cognitive load conditions. However, no significant differences were found in primary task performance. These findings suggest that participants were able to mitigate the effects of increased cognitive load by leveraging the automated support systems integrated into the turret interface.
| Période | 16 oct. 2024 |
|---|---|
| Titre de l'événement | 64TH INTERNATIONAL MILITARY TESTING ASSOCIATION CONFERENCE |
| Type d'événement | Une conférence |
| Emplacement | Sydney, AustralieAfficher sur la carte |
| Degré de reconnaissance | International |
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