IJAIDS

Artificial Intelligence in Enhancing Virtual Reality and Augmented Reality Experiences

© 2025 by IJAIDS

Volume 1 Issue 1

Year of Publication : 2025

Author : C. Viji, M. Sivasankari

: 10.56472/25839233/IJAIDS-V1I1P105

Citation :

C. Viji, M. Sivasankari , 2025. "Artificial Intelligence in Enhancing Virtual Reality and Augmented Reality Experiences" ESP International Journal of Artificial Intelligence & Data Science [IJAIDS]  Volume 1, Issue 1: 37-45.

Abstract :

AI's easy integration into VR and AR systems changes the way people interact with, experience, and move about in both digital and real-world settings. VR and AR are both fun and immersive on their own, but AI makes them much better by providing them intelligence, flexibility, and reactivity that is similar to or better than what people can do. This article talks about the various ways that AI may make VR and AR better, so that people in a wide range of areas, including education, healthcare, entertainment, retail, and more, can utilize them more effectively and enjoyably. Artificial intelligence is what makes VR and AR work. It helps people customize their experiences, make predictions, look at emotions, and talk to one other in real time. The best thing about AI is that it can learn from data. It can keep track of things like how users act, what they enjoy, their facial expressions, their voice inputs, and their movements in space to make settings that are aware of the situation and fit each user. This helps VR and AR systems produce experiences unique for each user, which makes the digital environment feel less like a game and more like an extension of the mind and feelings. This form of personalization is highly significant in fields like education and therapy, where the material needs to adapt based on the learner's pace or emotional state.One of the most essential AI tools that makes this synergy feasible is Natural Language Processing (NLP). It makes it easy and natural for people to converse to one other in online situations. People can talk to avatars powered by AI, provide voice commands, or obtain feedback that is right for the context. This makes it easy for users to use the technology and decreases their need for traditional input methods. Computer vision, which is another field of AI, lets AR systems view and understand the real environment in real time. This makes it possible to reliably distinguish items, keep an eye on faces, see movements, and map the area, which are all vital for AR uses like industrial training, remote help, and interactive gaming. The study also looks into how reinforcement learning and deep learning models can make avatars, NPCs (non-playable characters), and virtual agents that can learn and make decisions on their own smarter. Also, AI is highly vital for making things work better and reducing latency, which is one of the biggest technical issues that need to be fixed to make VR and AR experiences smooth. Edge computing and AI models that operate on devices themselves help reduce delays that could shatter immersion. This lets you have real-time feedback loops, which are important for military simulations and surgical training, among other things.We also need to consider about the moral, mental, and societal ramifications of AI-enhanced VR/AR as the divide between real and virtual worlds gets less clear. This study looks at how AI affects both technology and people. It can make people more empathetic, creative, and connected, but it can also make them worry about things like data privacy, user dependency, and digital manipulation. In brief, this essay goes into great detail about how AI is not just a backend engine but a game-changing force that makes VR and AR technologies more realistic, interactive, and flexible. They are transforming how people and technology interact in the future, creating a world that is not just virtual or augmented, but also smart, responsive, and truly human in how it interacts with humans.

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Keywords :

Artificial Intelligence, Virtual Reality, Augmented Reality, Machine Learning, Deep Learning, Real-Time Interaction, User Experience, Computer Vision, Natural Language Processing, 3D Environments.