Revolutionizing User Experience for Product Quality Evaluation using AR/VR and NLP

The research work proposes an important change technique that could transform User Experience (UX) evaluation by overcoming the limits of existing systems. Existing systems, which depend on traditional testing and surveys, usually fail to provide a complete understanding of user interactions. The proposed system creates immersive interfaces using Augmented Reality (AR), Virtual Reality (VR), and Natural Language Processing (NLP), while also obtaining qualitative feedback from user comments. Algorithmic analytics and machine learning algorithms enable reliable quantification of user activity. Real-time monitoring and iterative improvement cycles allow for dynamic responsiveness. A comparative investigation shows that the suggested system outperforms AR/VR immersion, NLP sentiment analysis, and algorithmic analytics. Efficiency measures such as accuracy (0.90), precision (0.92), recall (0.88), and F1 Score (0.90) demonstrate that it exceeds systems. The study proposes an innovative, user-centric solution set for rethinking UX evaluation, resulting in an in-depth knowledge of product quality in an ever-changing digital environment.