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Development and Application of AR-Based Assessment System for Infant Airway Obstruction First Aid Training
1Department of Nursing, College of Healthcare and Management, Asia Eastern University of Science and Technology, New Taipei City 220303, Taiwan.
Insights
This study introduces an augmented reality (AR) system for infant foreign body airway obstruction training. The AR system enables efficient, accurate skill acquisition and digital assessment, improving first aid preparedness.
Area of Science:
- Medical Education
- Emergency Medicine
- Human-Computer Interaction
Background:
- Foreign body airway obstruction is a leading cause of accidental infant death.
- Current infant CPR manikins offer limited training scenarios.
- Assessing first aid skills digitally is challenging with existing methods.
Purpose of the Study:
- To develop an augmented reality (AR)-based assessment system for infant foreign body airway obstruction training.
- To enhance the efficiency and accuracy of first aid training for infant airway obstruction.
- To enable digital, quantitative skill assessment for trainees and instructors.
Main Methods:
- Development of an AR-based training and assessment system.
- Integration of digital feedback and performance metrics.
- Utilizing AR technology to simulate realistic emergency scenarios.
Main Results:
- The AR system allows for more efficient and correct first aid learning.
- Trainees' skills can be quantitatively assessed through a digital platform.
- Reduced assessment time, human error, and training costs for instructors.
Conclusions:
- The developed AR system offers a practical solution for infant airway obstruction first aid training.
- It improves learning outcomes and provides objective skill evaluation.
- The system supports trainees in assessing emergencies and integrating knowledge with practical skills.
Abstract:
Airway obstruction refers to suffocation caused by blockage of the airway due to a foreign body and is a common cause of accidental death in infants below one year of age. However, the current infant CPR manikins used for training in first aid for foreign body airway obstruction can only be applied to one single scenario. Furthermore, trainees' first aid skills cannot be recorded and quantified with a digital system and, consequently, assessment of their skills is difficult to conduct. This study aims to overcome the technical limitations by developing an AR-based assessment system for training in first aid for infant airway obstruction. With this assessment system, trainees can learn first aid more efficiently and correctly and conduct a quantitative assessment of their skills digitally. For instructors, the time required for assessment, potential human error, and the cost of training can also be reduced. The system can be a practical learning tool that helps trainees assess emergencies and integrate their knowledge and skills.
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