JOURNAL ARTICLE

Exploring Campus through Web-Based Immersive Adventures Using Virtual Reality Photography: A Low-Cost Virtual Tour Experience

Abstract

This study aims to assess the incorporation of virtual reality (VR) photography into the web-based immersive application “virtual interactive campus tour (VICT).” This application offers users an immersive experience, allowing them to virtually explore university campuses and access information about the facilities and services available. The VICT application offers a cost-effective, attractive, and sustainable alternative for universities to display their resources and interact with potential students. Through black box testing, we conducted user acceptance testing (UAT) and functionality testing, confirming the application’s readiness for deployment and its capability to meet institutional and end-user requirements. This study also examined the potential for universities to use VR to meet the expectations of prospective students. The application is compatible with both desktop and mobile devices. The results indicated that the overall average validity score was 0.88, suggesting that the measure is valid. The validation results were thoroughly tested and reliable. This study emphasizes the potential of immersive web-based tours in higher education and aims to bridge the divide between virtual exploration and physical visits. By offering an immersive virtual campus experience, this innovative tool has the potential to revolutionize university marketing strategies, increase student engagement, and transform campus visit approaches.

Keywords:
Virtual reality Computer science Multimedia Software deployment Virtual campus Adventure Human–computer interaction World Wide Web Software engineering

Metrics

10
Cited By
7.77
FWCI (Field Weighted Citation Impact)
31
Refs
0.94
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Virtual Reality Applications and Impacts
Physical Sciences →  Computer Science →  Human-Computer Interaction
Image and Video Quality Assessment
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition

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