{"id":3585,"date":"2025-09-20T03:32:34","date_gmt":"2025-09-20T03:32:34","guid":{"rendered":"https:\/\/172-234-197-23.ip.linodeusercontent.com\/?page_id=3585"},"modified":"2025-09-20T03:32:34","modified_gmt":"2025-09-20T03:32:34","slug":"triage-ar-human-in-the-loop-casualty-visualization-for-augmented-reality","status":"publish","type":"page","link":"https:\/\/neurosphere-2.tail52f848.ts.net\/wordpress\/?page_id=3585","title":{"rendered":"Triage-AR Human-in-the-Loop Casualty Visualization for Augmented Reality"},"content":{"rendered":"\n<div data-wp-interactive=\"core\/file\" class=\"wp-block-file\"><object data-wp-bind--hidden=\"!state.hasPdfPreview\" hidden class=\"wp-block-file__embed\" data=\"https:\/\/neurosphere-2.tail52f848.ts.net\/wordpress\/wp-content\/uploads\/2025\/09\/Triage-AR-Human-in-the-Loop-Casualty-1.pdf\" type=\"application\/pdf\" style=\"width:100%;height:600px\" aria-label=\"Embed of Triage-AR Human-in-the-Loop Casualty.\"><\/object><a id=\"wp-block-file--media-95f4a8c3-3782-44bf-8944-8263be30b4bf\" href=\"https:\/\/neurosphere-2.tail52f848.ts.net\/wordpress\/wp-content\/uploads\/2025\/09\/Triage-AR-Human-in-the-Loop-Casualty-1.pdf\">Triage-AR Human-in-the-Loop Casualty<\/a><a href=\"https:\/\/neurosphere-2.tail52f848.ts.net\/wordpress\/wp-content\/uploads\/2025\/09\/Triage-AR-Human-in-the-Loop-Casualty-1.pdf\" class=\"wp-block-file__button wp-element-button\" download aria-describedby=\"wp-block-file--media-95f4a8c3-3782-44bf-8944-8263be30b4bf\">Download<\/a><\/div>\n\n\n\n<p class=\"wp-block-paragraph\">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;<\/p>\n","protected":false},"author":2,"featured_media":42,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","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":""},"class_list":["post-3585","page","type-page","status-publish","has-post-thumbnail","hentry"],"_links":{"self":[{"href":"https:\/\/neurosphere-2.tail52f848.ts.net\/wordpress\/index.php?rest_route=\/wp\/v2\/pages\/3585","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/neurosphere-2.tail52f848.ts.net\/wordpress\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/neurosphere-2.tail52f848.ts.net\/wordpress\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/neurosphere-2.tail52f848.ts.net\/wordpress\/index.php?rest_route=\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/neurosphere-2.tail52f848.ts.net\/wordpress\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=3585"}],"version-history":[{"count":0,"href":"https:\/\/neurosphere-2.tail52f848.ts.net\/wordpress\/index.php?rest_route=\/wp\/v2\/pages\/3585\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/neurosphere-2.tail52f848.ts.net\/wordpress\/index.php?rest_route=\/wp\/v2\/media\/42"}],"wp:attachment":[{"href":"https:\/\/neurosphere-2.tail52f848.ts.net\/wordpress\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=3585"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}