The use of augmented reality and brain-computer interfaces for improving situational awareness

Publication Type:
Thesis
Issue Date:
2025
Full metadata record
Situational Awareness (SA) forms a core component of situations where safety is paramount. However, with the adoption of digital technology, the ability to further augment operator capability has become possible through digital support systems, and the effects of physiological factors on these systems have yet to be explored, as well as the extent to which these systems can be developed. To this end, this thesis investigates three areas. Firstly, the thesis aims to investigate the effects of stress on a Heads-Up Display (HUD)-based support system. Secondly, the thesis aims to investigate the effects of circadian fatigue on the same HUD-based system. Finally, this thesis aims to identify the possibility of integrating Brain-Computer Interfaces (BCIs). This thesis presents three experiments to deepen the understanding of the overall concept of SA. The first and second experiments aim to determine the effects of physiological factors on HUD use, while the third experiment aims to identify a biomarker for the process of semantic comprehension within the brain. The results indicate that current HUD-based support systems continue to function effectively under physiological load. Additionally, the results of the EEG-based study demonstrate the ability to isolate and classify the brain dynamics of comprehension.
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