{"title":"Auricular Vagus Nerve Stimulation for Enhancing Remote Pilot Training and Operations","authors":"William J. Tyler","doi":"arxiv-2408.16755","DOIUrl":null,"url":null,"abstract":"The rapid growth of the drone industry, particularly in the use of small\nunmanned aerial systems (sUAS) and unmanned aerial vehicles (UAVs), requires\nthe development of advanced training protocols for remote pilots. Remote pilots\nmust develop a combination of technical and cognitive skills to manage the\ncomplexities of modern drone operations. This paper explores the integration of\nneurotechnology, specifically auricular vagus nerve stimulation (aVNS), as a\nmethod to enhance remote pilot training and performance. The scientific\nliterature shows aVNS can safely improve cognitive functions such as attention,\nlearning, and memory. It has also been shown useful to manage stress responses.\nFor safe and efficient sUAS/UAV operation, it is essential for pilots to\nmaintain high levels of vigilance and decision-making under pressure. By\nmodulating sympathetic stress and cortical arousal, aVNS can prime cognitive\nfaculties before training, help maintain focus during training and improve\nstress recovery post-training. Furthermore, aVNS has demonstrated the potential\nto enhance multitasking and cognitive control. This may help remote pilots\nduring complex sUAS operations by potentially reducing the risk of impulsive\ndecision-making or cognitive errors. This paper advocates for the inclusion of\naVNS in remote pilot training programs by proposing that it can provide\nsignificant benefits in improving cognitive readiness, skill and knowledge\nacquisition, as well as operational safety and efficiency. Future research\nshould focus on optimizing aVNS protocols for drone pilots while assessing\nlong-term benefits to industrial safety and workforce readiness in real-world\nscenarios.","PeriodicalId":501517,"journal":{"name":"arXiv - QuanBio - Neurons and Cognition","volume":"9 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - QuanBio - Neurons and Cognition","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2408.16755","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The rapid growth of the drone industry, particularly in the use of small
unmanned aerial systems (sUAS) and unmanned aerial vehicles (UAVs), requires
the development of advanced training protocols for remote pilots. Remote pilots
must develop a combination of technical and cognitive skills to manage the
complexities of modern drone operations. This paper explores the integration of
neurotechnology, specifically auricular vagus nerve stimulation (aVNS), as a
method to enhance remote pilot training and performance. The scientific
literature shows aVNS can safely improve cognitive functions such as attention,
learning, and memory. It has also been shown useful to manage stress responses.
For safe and efficient sUAS/UAV operation, it is essential for pilots to
maintain high levels of vigilance and decision-making under pressure. By
modulating sympathetic stress and cortical arousal, aVNS can prime cognitive
faculties before training, help maintain focus during training and improve
stress recovery post-training. Furthermore, aVNS has demonstrated the potential
to enhance multitasking and cognitive control. This may help remote pilots
during complex sUAS operations by potentially reducing the risk of impulsive
decision-making or cognitive errors. This paper advocates for the inclusion of
aVNS in remote pilot training programs by proposing that it can provide
significant benefits in improving cognitive readiness, skill and knowledge
acquisition, as well as operational safety and efficiency. Future research
should focus on optimizing aVNS protocols for drone pilots while assessing
long-term benefits to industrial safety and workforce readiness in real-world
scenarios.