Attributes of Virtual and Augmented Reality Tourism Mobile Applications Predicting Tourist Behavioral Engagement

Wajdy Omran · Beatriz Casais · Ricardo F. Ramos

8 citations0/0 files storedInternational Journal of Human-Computer Interaction

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Technology Adoption and User Behaviour Diverse Aspects of Tourism Research Virtual Reality Applications and Impacts

Abstract

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.

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1989Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology 2018When to use and how to report the results of PLS-SEM 2012Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology1 1980A Cognitive Model of the Antecedents and Consequences of Satisfaction Decisions 2019Assessing measurement model quality in PLS-SEM using confirmatory composite analysis 2006Formative Versus Reflective Indicators in Organizational Measure Development: A Comparison and Empirical Illustration 2005A Theoretical Integration of User Satisfaction and Technology Acceptance 2013A study of mobile user engagement (MoEN): Engagement motivations, perceived value, satisfaction, and continued engagement intention

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