{"id":3583,"date":"2025-09-20T03:29:19","date_gmt":"2025-09-20T03:29:19","guid":{"rendered":"https:\/\/172-234-197-23.ip.linodeusercontent.com\/?p=3583"},"modified":"2025-09-20T03:33:04","modified_gmt":"2025-09-20T03:33:04","slug":"triage-ar-human-in-the-loop-casualty-visualization-for-augmented-reality-2","status":"publish","type":"post","link":"https:\/\/172-234-197-23.ip.linodeusercontent.com\/?p=3583","title":{"rendered":"Triage-AR Human-in-the-Loop Casualty Visualization for Augmented Reality"},"content":{"rendered":"\n<figure class=\"wp-block-embed is-type-wp-embed is-provider-spectrcyde wp-block-embed-spectrcyde\"><div class=\"wp-block-embed__wrapper\">\n<blockquote class=\"wp-embedded-content\" data-secret=\"XjOaRn1IzD\"><a href=\"https:\/\/172-234-197-23.ip.linodeusercontent.com\/?page_id=3585\">Triage-AR Human-in-the-Loop Casualty Visualization for Augmented Reality<\/a><\/blockquote><iframe class=\"wp-embedded-content\" sandbox=\"allow-scripts\" security=\"restricted\" style=\"position: absolute; visibility: hidden;\" title=\"&#8220;Triage-AR Human-in-the-Loop Casualty Visualization for Augmented Reality&#8221; &#8212; Spectrcyde\" src=\"https:\/\/172-234-197-23.ip.linodeusercontent.com\/?page_id=3585&#038;embed=true#?secret=tfXvrLu5DS#?secret=XjOaRn1IzD\" data-secret=\"XjOaRn1IzD\" width=\"600\" height=\"338\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\"><\/iframe>\n<\/div><\/figure>\n\n\n\n<p>Mass casualty incidents (MCIs) impose extreme<br>cognitive and perceptual demands on first responders. Traditional START triage requires personnel to recall a sequence of<br>checks while managing multiple casualties, leading to error rates<br>between 20 % and 55 % and long assessment times [1]. Smart<br>glasses with augmented reality (AR) workflows can improve<br>triage accuracy and reduce time-to-triage by more than a<br>factor of two [1], but previous deployments have suffered from<br>usability issues and excessive cognitive load [2]. We present<br>Triage-AR, a human-in-the-loop casualty visualization system that<br>delivers priority-aware overlays through AR headsets. Triage-AR<br>computes dynamic priorities for each casualty using physiological<br>and situational data, and uses colour, haptic and audio cues<br>to emphasise the most critical patients while suppressing less<br>urgent information. Our user study with 24 participants in<br>simulated arena scenarios shows that priority-aware overlays<br>reduce median time-to-triage by 27 % relative to a baseline AR<br>overlay, with significantly fewer missed casualties and lower<br>NASA-TLX workload scores. The results support the claim that<br>priority-aware overlays can achieve at least a 25 % reduction in<br>time-to-triage while preserving mission utility. We open-source<br>our software and datasets to encourage reproducibility.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Mass casualty incidents (MCIs) impose extremecognitive and perceptual demands on first responders. Traditional START triage requires personnel to recall a sequence ofchecks while managing multiple casualties, leading to error ratesbetween 20 % and 55 % and long assessment times [1]. Smartglasses with augmented reality (AR) workflows can improvetriage accuracy and reduce time-to-triage by more than&hellip;&nbsp;<a href=\"https:\/\/172-234-197-23.ip.linodeusercontent.com\/?p=3583\" rel=\"bookmark\"><span class=\"screen-reader-text\">Triage-AR Human-in-the-Loop Casualty Visualization for Augmented Reality<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":42,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"neve_meta_sidebar":"","neve_meta_container":"","neve_meta_enable_content_width":"","neve_meta_content_width":0,"neve_meta_title_alignment":"","neve_meta_author_avatar":"","neve_post_elements_order":"","neve_meta_disable_header":"","neve_meta_disable_footer":"","neve_meta_disable_title":"","footnotes":""},"categories":[10],"tags":[],"class_list":["post-3583","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-signal_scythe"],"_links":{"self":[{"href":"https:\/\/172-234-197-23.ip.linodeusercontent.com\/index.php?rest_route=\/wp\/v2\/posts\/3583","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/172-234-197-23.ip.linodeusercontent.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/172-234-197-23.ip.linodeusercontent.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/172-234-197-23.ip.linodeusercontent.com\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/172-234-197-23.ip.linodeusercontent.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=3583"}],"version-history":[{"count":2,"href":"https:\/\/172-234-197-23.ip.linodeusercontent.com\/index.php?rest_route=\/wp\/v2\/posts\/3583\/revisions"}],"predecessor-version":[{"id":3588,"href":"https:\/\/172-234-197-23.ip.linodeusercontent.com\/index.php?rest_route=\/wp\/v2\/posts\/3583\/revisions\/3588"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/172-234-197-23.ip.linodeusercontent.com\/index.php?rest_route=\/wp\/v2\/media\/42"}],"wp:attachment":[{"href":"https:\/\/172-234-197-23.ip.linodeusercontent.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=3583"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/172-234-197-23.ip.linodeusercontent.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=3583"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/172-234-197-23.ip.linodeusercontent.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=3583"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}