HCP–VR: Training First Responders through a Virtual Reality Application for Hydrogeological Risk Management

Federico De Lorenzis, Filippo Gabriele Pratticò, Fabrizio Lamberti

2022

Abstract

Training First Responders (FRs) can represent a difficult task due to the need for preparing trainees to face dangerous situations without exposing them to actual risks. VR technology can help overcome these limitations by offering accurate simulations in which trainees can safely experience critical scenarios while improving their knowledge and skills about a specific procedure. In this paper, a Virtual Reality Training System (VRTS) designed to train FRs in the High Capacity Pumping (HCP) procedure is presented. This application aims to prepare operators through two different training modes (Guided and Evaluated) within a realistic computer- generated scenario. A user study involving 22 operators from the Civil Protection of Regione Piemonte was conducted to assess the learning efficacy and the overall quality of the VRTS. Feedback was collected both via qualitative evaluations and a quiz session on theoretical content. Participants praised the usability of the application and the overall quality of the training experience. Finally, the scores of the quiz session showed a knowledge gain associated with the use of the VRTS to train in the considered procedure.

Paper Citation

in Harvard Style

De Lorenzis F., Pratticò F. and Lamberti F. (2022). HCP–VR: Training First Responders through a Virtual Reality Application for Hydrogeological Risk Management. In Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2022) - Volume 2: HUCAPP; ISBN 978-989-758-555-5, SciTePress, pages 273-280. DOI: 10.5220/0011007800003124

in Bibtex Style

@conference{hucapp22,
author={Federico De Lorenzis and Filippo Gabriele Pratticò and Fabrizio Lamberti},
title={HCP–VR: Training First Responders through a Virtual Reality Application for Hydrogeological Risk Management},
booktitle={Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2022) - Volume 2: HUCAPP},
year={2022},
pages={273-280},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011007800003124},
isbn={978-989-758-555-5},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2022) - Volume 2: HUCAPP
TI - HCP–VR: Training First Responders through a Virtual Reality Application for Hydrogeological Risk Management
SN - 978-989-758-555-5
AU - De Lorenzis F.
AU - Pratticò F.
AU - Lamberti F.
PY - 2022
SP - 273
EP - 280
DO - 10.5220/0011007800003124
PB - SciTePress