J. Doswell, Justin Johnson, Brandon Brockington, Aaron Mosby, Arthur Chinery
{"title":"Juxtopia® CAMMRAD PREPARE: Wearable AI-AR Platform for Clinical Training Emergency First Response Teams","authors":"J. Doswell, Justin Johnson, Brandon Brockington, Aaron Mosby, Arthur Chinery","doi":"10.1109/AIVR50618.2020.00047","DOIUrl":null,"url":null,"abstract":"The Juxtopia® Open-Wear research team collaborated with the Maryland Fire & Rescue Institute (MFRI) to test how the Juxtopia® artificial intelligent (AI) wearable augmented reality (AR) intervention may better deliver a hands-free clinical training intervention to firefighter Emergency Medical Technicians (EMT) and prepare them for effective response to hazardous material (HAZMAT) incidences. During a controlled study, human subjects participated in a minimal risk research (i.e., both as victims or caregivers) in which firefighter EMTs participated in a simulated training exercise that mimicked their real-world operations. During the study, there were two testing days. Day one included (10) victims and (20) caregivers who participated in a full day of training and familiarized themselves with wearable AR Head Mounted Display (HMD) and a Juxtopia® Virtual Tutor (JVT) software application. The results demonstrated that an AI instructor enabled AR system can train EMTs in core clinical skills for effective HAZMAT response.","PeriodicalId":348199,"journal":{"name":"2020 IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AIVR50618.2020.00047","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
The Juxtopia® Open-Wear research team collaborated with the Maryland Fire & Rescue Institute (MFRI) to test how the Juxtopia® artificial intelligent (AI) wearable augmented reality (AR) intervention may better deliver a hands-free clinical training intervention to firefighter Emergency Medical Technicians (EMT) and prepare them for effective response to hazardous material (HAZMAT) incidences. During a controlled study, human subjects participated in a minimal risk research (i.e., both as victims or caregivers) in which firefighter EMTs participated in a simulated training exercise that mimicked their real-world operations. During the study, there were two testing days. Day one included (10) victims and (20) caregivers who participated in a full day of training and familiarized themselves with wearable AR Head Mounted Display (HMD) and a Juxtopia® Virtual Tutor (JVT) software application. The results demonstrated that an AI instructor enabled AR system can train EMTs in core clinical skills for effective HAZMAT response.