Exploring Artificial Intelligence in Operating Systems for Consumer Enhanced Experience: Knowledge-Based Interfaces for Intelligent User Experience and System Optimization

Year : 2025 | Volume : 12 | Issue : 03 | Page : 26 30
    By

    Bhupinder Singh,

  1. Professor, Sharda School of Law, Sharda University, Greater Noida, Gautam Budh Nagar, Uttar Pradesh, India

Abstract

The convergence of knowledge-based systems, machine learning algorithms, and natural language interfaces that provide dynamic and context-sensitive behavior is another foundation for this change. AI-based operating systems are important because they can enhance user experiences via automation, self-optimization, and customization. AI signifies a new era of cognitive computing, from adaptive power management for desktops and embedded systems to predictive text and voice recognition on mobile devices. Furthermore, this ability to mimic human thinking is further extended by knowledge-based interfaces, which are based on expert systems, ontologies, and deep learning. It enables the OS to do more than just obey orders; it can anticipate demands and provide a competent, user-friendly service based on your schedule and behavior.

Keywords: AI, system optimization, operating systems, knowledge-based interfaces, consumer enhanced experience

[This article belongs to Journal of Operating Systems Development & Trends ]

How to cite this article:
Bhupinder Singh. Exploring Artificial Intelligence in Operating Systems for Consumer Enhanced Experience: Knowledge-Based Interfaces for Intelligent User Experience and System Optimization. Journal of Operating Systems Development & Trends. 2025; 12(03):26-30.
How to cite this URL:
Bhupinder Singh. Exploring Artificial Intelligence in Operating Systems for Consumer Enhanced Experience: Knowledge-Based Interfaces for Intelligent User Experience and System Optimization. Journal of Operating Systems Development & Trends. 2025; 12(03):26-30. Available from: https://journals.stmjournals.com/joosdt/article=2025/view=232699


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Regular Issue Subscription Review Article
Volume 12
Issue 03
Received 10/11/2025
Accepted 12/11/2025
Published 19/11/2025
Publication Time 9 Days
50

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