Utilize este identificador para referenciar este registo: http://hdl.handle.net/10071/33625
Autoria: Omran, W.
Casais, B.
Ramos, R. F.
Data: 2025
Título próprio: Attributes of virtual and augmented reality tourism mobile applications predicting tourist behavioral engagement
Título da revista: International Journal of Human–Computer Interaction
Volume: N/A
Referência bibliográfica: Omran, W., Casais, B., & Ramos, R. F. (2025). Attributes of virtual and augmented reality tourism mobile applications predicting tourist behavioral engagement. International Journal of Human–Computer Interaction. https://doi.org/10.1080/10447318.2025.2470293
ISSN: 1044-7318
DOI (Digital Object Identifier): 10.1080/10447318.2025.2470293
Palavras-chave: Tourism behavioral engagement
Virtual reality
Augmented reality
Tourism mobile applications
Resumo: The study aims to explore the attributes of VR/AR tourism mobile applications (apps) and their impact on Tourist Behavioral Engagement (TBE), mediated by app satisfaction. The authors employed a text mining and Partial Least Squares-Structural Equation Modelling (PLS-SEM) approach to analyze 6,998 Google Play VR/AR tourism mobile apps online reviews. A word frequency matrix (WFM) was generated and used as an input for PLS-SEM to test the raised hypotheses. The findings revealed that utilitarian gratification, perceived usefulness, ease-of-use, and VR/AR immersion features (context awareness, presence, and telepresence) are key predictors of TBE, with app satisfaction playing a critical mediating role between these VR/AR attributions and TBE, emphasizing the vital role of Technology Acceptance Model (TAM) in driving sustained app engagement. The proposed framework advances theoretical literature on the TBE predictors and provides a guide for VR/AR tourism apps developers/designers to enable adoption, engagement, and proliferation among tourists.
Arbitragem científica: yes
Acesso: Acesso Embargado
Aparece nas coleções:ISTAR-RI - Artigos em revistas científicas internacionais com arbitragem científica

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