{"id":497,"date":"2024-07-11T12:31:03","date_gmt":"2024-07-11T12:31:03","guid":{"rendered":"https:\/\/blogarchive.utc.edu\/ai\/?p=497"},"modified":"2024-08-06T16:29:30","modified_gmt":"2024-08-06T16:29:30","slug":"ai-for-military-pilot-optimization","status":"publish","type":"post","link":"https:\/\/blogarchive.utc.edu\/ai\/2024\/07\/11\/ai-for-military-pilot-optimization\/","title":{"rendered":"AI for Military Pilot Optimization"},"content":{"rendered":"\n

When Dr. Jennifer Hogg makes her presentation, \u201cCognitive Strategies to Increase Performance,\u201d at a National Strength and Conditioning Association conference<\/a>, she\u2019ll discuss the potential benefits of artificial intelligence. Not merely from the cutting-edge science standpoint, but as a solution to an obstacle faced by the particular population her talk will target: U.S. Navy pilots. The obstacle? Remote assignments.<\/p>\n\n\n

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Jennifer Hogg<\/figcaption><\/figure><\/div>\n\n\n

An associate professor in the Health and Human Performance department at the University of Tennessee at Chattanooga, Hogg speaks in August to NSCA\u2019s Annual Tactical Training conference. NCSA\u2019s Tactical Strength and Conditioning sub-specialty is for those who work with law enforcement, fire and rescue, military, protective services and other emergency personnel to promote wellness, boost performance, and reduce injury risk, the organization says. Hogg has been involved with the NCSA main national conference in the past and, for this workshop, was asked to address how military pilots might mitigate errors in flight and combat fatigue. It\u2019s theme? Military Pilot Optimization.<\/p>\n\n\n\n

\u201cI will be presenting primarily on cognitive strategies that can be used for injury prevention and for performance enhancements\u201d Hogg said. \u201cThe AI piece of this is, in the field or in combat or maybe in remote locations, to have an onboard kind of an \u2018AI clinician,\u2019 we might say. Such as, when somebody is suspected of having a concussion, it could do a quick-and-easy assessment or, if you\u2019re in a training situation, it could take you through a training protocol in a \u2018gamified\u2019 manner.<\/p>\n\n\n\n

\u201cThat would be a training protocol in which the pilots and air crew would engage in some visual-spatial games or tasks, or maybe engage their working memory and then give them a score at the end.\u201d<\/p>\n\n\n\n

\u201cThen, just like any other neuromuscular training paradigm, you could have them do it three times a week for six weeks and then see if their in-flight performance improves. In theory, all of that could be done without the need for a human clinician if the AI is a high-fidelity model.\u201d<\/p>\n\n\n\n

Such possibilities could be derived from data collected from already-available virtual-reality devices with onboard eye tracking and handheld controllers that have accelerometers and gyroscopes.<\/p>\n\n\n\n

\u201cFrom that you can gather position data, you can gather postural sway, and then eye tracking and head movement,\u201d Hogg said. \u201cThose devices have reached the point that they\u2019re sensitive enough to detect some nuanced changes in vision and eye movement. Trained against a larger database, a model could assess both the performance capability of a pilot and if they\u2019re at risk for injury. Such as, if they sustained a concussion, are they able to return or when would they be good enough to return?\u201d<\/p>\n\n\n\n

She is currently collaborating with colleagues at Emory University in Atlanta in pursuing methods of using AI technology to improve injury and performance outcomes.<\/p>\n\n\n\n

After highlighting what\u2019s currently known and available to military pilots, Hogg said, she will identify what\u2019s still to come.<\/p>\n\n\n\n

\u201cI think wearable sensors will be very big in athletic training, the gathering of bulk data. It’s already made training data sets,\u201d Hogg said and cited as a leader in the field, Catapult, an Australia-based global company specializing in athletic performance technology.<\/p>\n\n\n\n

\u201cOf course, there are lots of HIPAA (federal privacy) concerns around that with access to everyone’s data, but there is tremendous potential for insight. Athlete monitoring is easily the biggest application, and I’ve seen other pretty sophisticated applications,\u201d she said. \u201cFor instance, the use of MRI scans of hamstring and quadriceps muscles in machine learning algorithms to indicate potential for injury. The idea is to process the image from an MRI scan of the entire lower limb and use this to predict a future hamstring injury.\u201d<\/p>\n\n\n\n

Visit UTC Health and Human Performance<\/strong><\/a><\/h4>\n\n\n\n

Hogg said she feels obliged to prepare her students for the use of AI tools they are apt to find in the workplace.<\/p>\n\n\n\n

\u201cThe challenge is, I don’t quite know how to prepare them yet because the field is moving so quickly,\u201d she said. \u201cCommunication is key because, in so many ways, the technology is a black box. There are so many hyper parameters to tune in a machine-learning model, and how you tune one of them might change the outcome entirely.<\/p>\n\n\n\n

\u201cWhat I can teach them is how to know which questions to ask and how to be more critical assessors of numbers, in particular. They don’t need to know everything about why a number might not be plausible, but if they can know how to spot red flags and what to do next, that would be my goal.<\/p>\n\n\n\n

\u201cI’m also teaching our students how AI might be useful for some of what they do, like drafting a rehab protocol for an injury. It might possibly be helpful in diagnosing somebody with an injury. Conversely, so much of what\u2019s involved in this field, the athletic trainer has to be present for and has to interpret a physical exam in which they put their hands on an athlete. I don\u2019t hear my students expressing concern about AI changing that anytime soon.\u201d<\/p>\n\n\n\n

About Dr. Jennifer Hogg<\/a><\/strong><\/p>\n\n\n\n

Undergraduate studies in UTC Health and Human Performance<\/a><\/strong><\/p>\n\n\n\n

Graduate studies in UTC Health and Human Performance<\/a><\/strong><\/p>\n\n\n\n

Explore UTC<\/strong><\/a><\/p>\n\n\n\n

About CHAI–the UTC Artificial Intelligence Initiative<\/a><\/strong><\/p>\n\n\n\n

Are you a UTC faculty member or scholar researching an AI field? Email us so that we can share your story: UTC-AI@utc.edu<\/strong><\/p>\n\n\n\n

<\/p>\n","protected":false},"excerpt":{"rendered":"

Jennifer Hogg talks with military pilots on the benefits of AI in maintaining their readiness regardless of possible remote locations.<\/p>\n

Continue Reading <\/a><\/span><\/p>\n","protected":false},"author":1300,"featured_media":597,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_genesis_hide_title":false,"_genesis_hide_breadcrumbs":false,"_genesis_hide_singular_image":false,"_genesis_hide_footer_widgets":false,"_genesis_custom_body_class":"","_genesis_custom_post_class":"","_genesis_layout":"","_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[1,19,21,20],"tags":[],"class_list":{"0":"post-497","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-classroom","8":"category-community","9":"category-research","10":"category-uncategorized","11":"entry"},"yoast_head":"\nAI for Military Pilot Optimization - Artificial Intelligence Archive<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/blogarchive.utc.edu\/ai\/2024\/07\/11\/ai-for-military-pilot-optimization\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"AI for Military Pilot Optimization - 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