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Towards a Probabilistic Interactive Video Training Tool for Emergency Medical Services

Published: 07 June 2024 Publication History

Abstract

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.

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cover image ACM Conferences
IMX '24: Proceedings of the 2024 ACM International Conference on Interactive Media Experiences
June 2024
465 pages
ISBN:9798400705038
DOI:10.1145/3639701
  • Editors:
  • Asreen Rostami,
  • Donald McMillan,
  • Jonathan Hook,
  • Irene Viola,
  • Jun Nishida,
  • Hanuma Teja Maddali,
  • Alexis Clay
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Publication History

Published: 07 June 2024

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Author Tags

  1. Emergency Medical Services
  2. Interactive Video
  3. Markovian Process
  4. Participatory Design
  5. Probabilistic
  6. Training tool

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Overall Acceptance Rate 69 of 245 submissions, 28%

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