Proceedings of the International Conference on Sustainability Innovation in Computing and Engineering (ICSICE 2024)

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Immersive Virtual Reality Infused Artificial Intelligence Interfaces for Hyper Personalized Digital Engagement and Enhanced User Experience

Authors
S. Purushothaman1, *, A. Himabindu2, P. Bhuvaneswari3, P. Chellammal4, Satvik Vats5, 6, P. Merlin Sheela7
1Department of Management Studies, Easwari Engineering College, Ramapuram, Chennai, Tamil Nadu, India
2Assistant Professor, Department of CSE, CVR College of Engineering, Hyderabad, Telangana, India
3Assistant Professor, Department of CSE, Sona College of Technology, Salem, Tamil Nadu, India
4Professor, Department of Computer Science and Engineering, J.J. College of Engineering and Technology, Tiruchirappalli, Tamil Nadu, India
5Assistant Professor, Computer Science and Engineering, Graphic Era Hill University, Dehradun, India
6Adjunct Professor, Graphic Era Deemed to be University, Dehradun, Uttarakhand, India
7Assistant Professor, Department of English, New Prince Shri Bhavani College of Engineering and Technology, Chennai, Tamil Nadu, India
*Corresponding author. Email: Purushothaman.s@eec.srmrmp.edu.in
Corresponding Author
S. Purushothaman
Available Online 23 May 2025.
DOI
10.2991/978-94-6463-718-2_62How to use a DOI?
Keywords
Immersive Virtual Reality; Artificial Intelligence; Hyper Personalized Engagement; User Experience; AI-driven Interfaces; Gesture-based Interfaces; Machine Learning; User Behavior Prediction; Adaptive Systems; Real-time Personalization; Cognitive Overload; Dynamic Content Generation; VR Applications; Immersion; Personalized Feedback
Abstract

The convergence of Immersive Virtual Reality (VR) and Artificial Intelligence (AI) offers unprecedented opportunities for creating hyper-personalized digital engagement platforms. This research explores the integration of AI-driven interfaces within VR environments to enhance user experience by adapting to individual preferences, behaviors, and cognitive states in real-time. Through AI techniques such as machine learning, natural language processing, and user behavior prediction, this study aims to create immersive, interactive experiences that feel intuitive, responsive, and deeply personalized. The paper investigates the potential of gesture-based and adaptive AI systems to improve user satisfaction, reduce cognitive overload, and optimize digital engagement across a variety of VR applications. It further discusses the role of personalized feedback mechanisms and dynamic content generation in enhancing user immersion and fostering long-term user interaction. The findings contribute to the development of next-generation, AI-infused VR systems that offer a high degree of customization, making them suitable for diverse user groups and applications in gaming, education, training, healthcare, and beyond.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the International Conference on Sustainability Innovation in Computing and Engineering (ICSICE 2024)
Series
Advances in Computer Science Research
Publication Date
23 May 2025
ISBN
978-94-6463-718-2
ISSN
2352-538X
DOI
10.2991/978-94-6463-718-2_62How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - S. Purushothaman
AU  - A. Himabindu
AU  - P. Bhuvaneswari
AU  - P. Chellammal
AU  - Satvik Vats
AU  - P. Merlin Sheela
PY  - 2025
DA  - 2025/05/23
TI  - Immersive Virtual Reality Infused Artificial Intelligence Interfaces for Hyper Personalized Digital Engagement and Enhanced User Experience
BT  - Proceedings of the International Conference on Sustainability Innovation in Computing and Engineering (ICSICE 2024)
PB  - Atlantis Press
SP  - 720
EP  - 731
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-718-2_62
DO  - 10.2991/978-94-6463-718-2_62
ID  - Purushothaman2025
ER  -