Towards a Probabilistic Interactive Video Training Tool for Emergency Medical Services

Emergency Medical Services (EMS) professionals undergo continuous training, which is crucial for handling high-pressure situations. Considering the time constraint these professionals are under, innovative approaches are necessary to enhance the effectiveness of EMS training. Probabilistic interactive video training is a promising avenue. It employs interactive web-based platforms to create immersive learning experiences via a standard web browser. Personalised training using non-markovian processes tailors the training to individual trainees' needs and enhances engagement. The created probabilistic models simulate realistic emergency scenarios that foster the development of robust decision-making skills under uncertain and time-critical conditions. The research aims to analyse the effectiveness of interactive video-based (regular and 360-degree) training and explore its potential as an innovative approach to enhance EMS training using the Technology Acceptance Model (TAM) and interviews with police and ambulance students.