Improved Real Time User Interaction in Extended Reality Systems Using the Deployment of Adaptive Intelligent Technologies
Hayder M A Ghanimi
Department of Information Technology, College of Science, University of Warith Al-Anbiyaa, Karbala, 56003, Iraq and Department of Computer Science, College of Computer Science and Information Technology, University of Kerbala, Karbala, 56003, Iraq.
The Human-Computer Interaction (HCI) field has seen rapid growth in various industries due to the introduction of Extended Reality (XR) environments. These environments require improved interface methods, real-time processing, low latency, and integrated User Experience (UE) servicing. This work aims to improve user interactions in real-time XR environments and introduces a new Hierarchical Adaptive System (HAS) to address these challenges. This study presents a Real-Time Adaptation Model (RTAM) for XR interfaces, which combines adaptive optimized performance, Deep Reinforcement Learning (DRL), and Fuzzy Logic (FL). The system addresses unpredictability, Dynamic Resource Allocation (DRA), and parallel processing pipelines. HAS did better than the best methods by 46.3% in terms of Faster Learning Integration (FLI), 63.2% in terms of Lower Error Rates (LER), and 37.4% in terms of Reduced Task Completion Times (RTCT) in a study with 60 users in different interactive settings. Despite maintaining low adaptation latency, the system achieves a score of 0.86 for resource utilization efficiency. The study also identified improvements in system responsiveness and overall satisfaction. The results support that HAS effectively solves RTAM issues in XR settings, laying the basis for next-generation immersive apps with more responsive and user-centered communication models.
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CRediT Author Statement
The authors confirm contribution to the paper as follows:
Conceptualization: Hayder M A Ghanimi, Sathvik Bagam, Shaishav Shah, Vedaraj M, Manjunath T C and Manoranjan Kumar Sinha;
Methodology: Sathvik Bagam and Shaishav Shah;
Software: Shaishav Shah, Vedaraj M, Manjunath T C and Manoranjan Kumar Sinha;
Data Curation: Shaishav Shah, Vedaraj M, Manjunath T C and Manoranjan Kumar Sinha;
Writing- Original Draft Preparation: Hayder M A Ghanimi, Sathvik Bagam, Shaishav Shah, Vedaraj M, Manjunath T C and Manoranjan Kumar Sinha;
Visualization: Shaishav Shah, Vedaraj M, Manjunath T C and Manoranjan Kumar Sinha;
Investigation: Hayder M A Ghanimi, Sathvik Bagam, Shaishav Shah, Vedaraj M, Manjunath T C and Manoranjan Kumar Sinha;
Supervision: Sathvik Bagam and Shaishav Shah;
Validation: Shaishav Shah, Vedaraj M, Manjunath T C and Manoranjan Kumar Sinha;
Writing- Reviewing and Editing: Hayder M A Ghanimi, Sathvik Bagam, Shaishav Shah, Vedaraj M, Manjunath T C and Manoranjan Kumar Sinha;
All authors reviewed the results and approved the final version of the manuscript.
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Shaishav Shah
Department of Computer Engineering, Government Engineering College, Dahod, Gujarat, India.
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Cite this article
Hayder M A Ghanimi, Sathvik Bagam, Shaishav Shah, Vedaraj M, Manjunath T C and Manoranjan Kumar Sinha, “Improved Real Time User Interaction in Extended Reality Systems Using the Deployment of Adaptive Intelligent Technologies”, Journal of Machine and Computing, pp. 933-949, April 2025, doi: 10.53759/7669/jmc202505074.
