Virtual Reality User Experience classifier employing Deep Learning for  Design Enhancement

Srinatha Karur, Jeevan Kumar Singh, Kagana Poojitha, Tenukuntla Saicharan, Nerella Rasagna

Virtual Reality User Experience classifier employing Deep Learning for Design Enhancement

Authors

Srinatha Karur, Jeevan Kumar Singh, Kagana Poojitha, Tenukuntla Saicharan, Nerella Rasagna

Keywords:

Virtual Reality, User Experience Classification, Deep Neural Network, SMOTE, Class Imbalance, Machine Learning, VR Design Evaluation

Abstract

This thesis focuses on the design and implementation of a Virtual Reality (VR) User ExperienceClassification system using deep learning to improve the quality and effectiveness of VR applicationdesign. The proposed system is developed using a large-scale VR user experience dataset containingmore than 10,000 interaction records collected from diverse virtual environments. A key challenge addressed in this study is class imbalance

References

Shehadeh, Ali, and Odey Alshboul. "Enhancing Engineering and Architectural Design Through Virtual Reality and Machine Learning Integration." Buildings 15, no. 3 (2025): 328.

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Published

2025-05-25

How to Cite

Srinatha Karur, Jeevan Kumar Singh, Kagana Poojitha, Tenukuntla Saicharan, Nerella Rasagna. (2025). Virtual Reality User Experience classifier employing Deep Learning for Design Enhancement. Journal of Computational Analysis and Applications (JoCAAA), 34(5), 488–497. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/4626