The Design and Evaluation of an AR-based Adaptive Triage Training for Emergency Responders

Emergency responders often lack adequate training for mass casualty incidents due to cost and accessibility challenges, leading to poor coordination and fatalities. Extended Reality (XR) technologies offer accessible, cost-effective, and customizable training scenarios. However, their adoption is slow due to the lack of personalized, high-quality training integrating XR into emergency response scenarios. We have developed an adaptive training framework for AR applications like SALT triage to practice triaging skills with virtual patients in XR through spatial learning tasks, providing a personalized learning experience. This framework leverages user learning performance data, enhancing context and interaction-based learning experiences. Our evaluation with 15 public safety personnel shows higher knowledge retention, improved skills, and positive response toward adaptation. This suggests our adaptive training framework enhances the learning experience for emergency responders, improving skills and performance in real-world emergencies.

Authors

Institutions

Publication Details

Journal
Proceedings of the Human Factors and Ergonomics Society Annual Meeting
Published
2024-08-29
DOI
https://doi.org/10.1177/10711813241265339
Citations
2
Primary Topic
Simulation-Based Education in Healthcare
Type
article
Field-Weighted Citation Impact
0.65

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Design and Evaluation of an AR-based Adaptive Triage Training for Emergency Responders

Lindsey J. Brenner, Joseph L. Gabbard, Shantanu Vyas, Cassidy R. Nelson et al.
2 citations
Proceedings of the Human Factors and Ergonomics Society Annual Meeting
Simulation-Based Education in Healthcare
0.65
article

The Design and Evaluation of an AR-based Adaptive Triage Training for Emergency Responders

Lindsey J. Brenner, Joseph L. Gabbard, Shantanu Vyas, Cassidy R. Nelson, Jason Moats, Ranjana K. Mehta, Vinayak R. Krishnamurthy, Ronak R. Mohanty, Peter Selly
article en
2 citations

Abstract

Emergency responders often lack adequate training for mass casualty incidents due to cost and accessibility challenges, leading to poor coordination and fatalities. Extended Reality (XR) technologies offer accessible, cost-effective, and customizable training scenarios. However, their adoption is slow due to the lack of personalized, high-quality training integrating XR into emergency response scenarios. We have developed an adaptive training framework for AR applications like SALT triage to practice triaging skills with virtual patients in XR through spatial learning tasks, providing a personalized learning experience. This framework leverages user learning performance data, enhancing context and interaction-based learning experiences. Our evaluation with 15 public safety personnel shows higher knowledge retention, improved skills, and positive response toward adaptation. This suggests our adaptive training framework enhances the learning experience for emergency responders, improving skills and performance in real-world emergencies.

Proceedings of the Human Factors and Ergonomics Society Annual MeetingVol. 68(1)
University of Wisconsin–Madison (US), Virginia Tech (US), Texas A&M University (US)
Innovation and Technology Ecosystems
Openalex Percentile: Top 29%
Simulation-Based Education in Healthcare
0.65
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.