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Measuring User Experience, Usability and Interactivity of a Personalized Mobile Augmented Reality Training System

Papakostas, Christos ; Troussas, Christos ; Krouska, Akrivi ; Sgouropoulou, Cleo

Sensors (Basel, Switzerland), 2021-06, Vol.21 (11), p.3888 [Periódico revisado por pares]

Basel: MDPI AG

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Título:
Measuring User Experience, Usability and Interactivity of a Personalized Mobile Augmented Reality Training System
Autor: Papakostas, Christos ; Troussas, Christos ; Krouska, Akrivi ; Sgouropoulou, Cleo
Assuntos: Augmented reality ; Classrooms ; Cost control ; Customization ; Education ; Educational technology ; factor analysis ; Fire fighting ; Firefighters ; firefighting training ; Fires ; Learning management systems ; Literature reviews ; regression analysis ; Simulation ; System effectiveness ; Technology Acceptance Model ; technology acceptance model (TAM) ; Technology utilization ; Training ; usability ; User experience
É parte de: Sensors (Basel, Switzerland), 2021-06, Vol.21 (11), p.3888
Notas: ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
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Descrição: Innovative technology has been an important part of firefighting, as it advances firefighters’ safety and effectiveness. Prior research has examined the implementation of training systems using augmented reality (AR) in other domains, such as welding, aviation, army, and mathematics, offering significant pedagogical affordances. Nevertheless, firefighting training systems using AR are still an under-researched area. The increasing penetration of AR for training is the driving force behind this study, and the scope is to analyze the main aspects affecting the acceptance of AR by firefighters. The current research uses a technology acceptance model, extended by the external constructs of perceived interactivity and personalization, to consider both the system and individual level. The proposed model was evaluated by a sample of 200 users, and the results show that both the external variables of perceived interactivity and perceived personalization are prerequisite factors in extending the TAM model. The findings reveal that the usability is the strongest predictor of firefighters’ behavioral intentions to use the AR system, followed by the ease of use with smaller, yet meaningful, direct and indirect effects on firefighters’ intentions. The identified acceptance factors help AR developers enhance the firefighters’ experience in training operations.
Editor: Basel: MDPI AG
Idioma: Inglês

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Measuring User Experience, Usability and Interactivity of a Personalized Mobile Augmented Reality Training System

Papakostas, Christos ; Troussas, Christos ; Krouska, Akrivi ; Sgouropoulou, Cleo

Basel: MDPI AG

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