Λεπτομέρειες βιβλιογραφικής εγγραφής
| Τίτλος: |
Enhancing Fire Extinguisher Training: A Comparative Study of Virtual Reality and Augmented Virtuality Approaches. |
| Συγγραφείς: |
Ntantamis, Orestis1 (AUTHOR), Dzardanova, Elena1 (AUTHOR), Agelada, Androniki1 (AUTHOR), Kasapakis, Vlasios1 (AUTHOR) v.kasapakis@aegean.gr |
| Πηγή: |
International Journal of Human-Computer Interaction. Sep2026, Vol. 42 Issue 18, p15738-15755. 18p. |
| Θεματικοί όροι: |
Virtual reality, Transfer of training, Firefighting equipment, Effective teaching, Vibrotactile stimulation, Immersive design |
| Περίληψη: |
Properly following fire-extinguishing procedures is crucial in emergencies, reducing injury risk and potentially saving lives. Traditional training, however, is often costly, time-consuming, and logistically demanding. Extended reality (XR) can address these barriers by offering safe, repeatable, and engaging simulations. Immersive Virtual Reality (IVR) is a widely used XR approach and is most effective when it closely replicates real conditions and equipment. To increase realism, many systems shift toward Immersive Augmented Virtuality (IAV), using tangible objects, such as a real extinguisher fitted with sensors, as interactive controllers. This article reports a two-phase, between-groups study with 62 participants comparing IVR training with a virtual extinguisher to IAV training with a custom physical controller providing rich haptic feedback. Phase one examined knowledge gains and perceived usability; phase two assessed skill transfer, workload, and emotional responses. Findings suggest extinguisher controller can enhance knowledge acquisition and skill transfer effectiveness, offering an embodied training experience. [ABSTRACT FROM AUTHOR] |
|
Copyright of International Journal of Human-Computer Interaction is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) |
| Βάση Δεδομένων: |
Business Source Index |