AI-Driven Adaptive Operating System Interface for Personalized User Interaction
DOI:
https://doi.org/10.48001/978-81-980647-6-9-10Keywords:
AI-Driven Operating System, Machine Learning, Context-Aware Recommendations, Cross-Device SynchronizationAbstract
Traditional operating system (OS) interfaces require manual configuration, which can be inefficient. This explores the potential of AI-driven OS interfaces that dynamically adapt to user behaviour. By employing machine learning techniques, these interfaces can personalize user experiences, automate tasks, and optimize accessibility. This discusses various adaptive mechanisms, including intelligent UI adaptation, context-aware recommendations, voice and gesture control, smart notification management, personalized security, energy efficiency, and cross-device synchronization.
As technology becomes an integral part of daily life, operating systems must evolve to provide an intuitive and personalized experience. The AI-Driven Adaptive OS Interface leverages artificial intelligence to dynamically adjust system interactions based on user behaviour X, preferences, and context. By employing machine learning techniques, this interface optimizes workflows, enhances usability, and ensures seamless performance.
Modern operating systems (OS) require user interfaces that are intuitive, efficient, and responsive to individual needs. This paper proposes an AI-driven adaptive OS interface that dynamically adjusts based on user behaviour, preferences, and context. Utilizing machine learning and predictive analytics, the system observes interaction patterns, application usage, and workflow tendencies to create a personalized experience. Key features include an intelligent taskbar that prioritizes frequently used apps, context-aware notifications, gesture and voice adaptability, and real-time theme adjustments. The AI also integrates productivity-enhancing automation, such as predictive file organization and smart resource allocation. The adaptive interface improves accessibility, efficiency, and user satisfaction by evolving in response to habits and preferences. This research highlights the benefits of AI-driven interfaces in revolutionizing human-computer interaction, ensuring a seamless and user-centric digital experience.
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References
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