Article: Real-time AI-regulated animation-user interaction system in virtual reality environments Journal: International Journal of Information and Communication Technology (IJICT) 2026 Vol.27 No.11 pp.38 - 61 Abstract: This study presents a real-time AI-regulated animation and user interaction system that leverages machine learning to enhance immersion in virtual reality (VR) environments. The framework integrates real-time simulation, CAD optimisation, and AI-driven animation to deliver responsive, realistic, and user-friendly interactions. Although challenges remain in resource utilisation and frame rate stability, experimental evaluations demonstrate high accuracy, responsiveness, and usability. The findings suggest that AI-governed VR systems hold significant potential in education, healthcare, and training for high-risk environments. As VR adoption expands across medicine, education, and the arts, the need for machines capable of dynamically controlling interactions and animations becomes critical for achieving presence and adaptability. Earlier rule-based and tele-operated approaches lacked realism and scalability, while newer AI-powered methods offer greater flexibility yet still face integration challenges. This system addresses these limitations by combining AI models with CAD-optimised animations, ensuring speed, precision, and usability in real-time. Inderscience Publishers - linking academia, business and industry through research

Title: Real-time AI-regulated animation-user interaction system in virtual reality environments

Authors: Jun Liu

Addresses: College of Art, Cheongju University, Cheongju, 28503, South Korea

Abstract: This study presents a real-time AI-regulated animation and user interaction system that leverages machine learning to enhance immersion in virtual reality (VR) environments. The framework integrates real-time simulation, CAD optimisation, and AI-driven animation to deliver responsive, realistic, and user-friendly interactions. Although challenges remain in resource utilisation and frame rate stability, experimental evaluations demonstrate high accuracy, responsiveness, and usability. The findings suggest that AI-governed VR systems hold significant potential in education, healthcare, and training for high-risk environments. As VR adoption expands across medicine, education, and the arts, the need for machines capable of dynamically controlling interactions and animations becomes critical for achieving presence and adaptability. Earlier rule-based and tele-operated approaches lacked realism and scalability, while newer AI-powered methods offer greater flexibility yet still face integration challenges. This system addresses these limitations by combining AI models with CAD-optimised animations, ensuring speed, precision, and usability in real-time.

Keywords: augmented reality; AR; data mining algorithms; interaction with users; AI-regulated rendering; computer-aided design; CAD; optimisation; immersive reality; VR.

DOI: 10.1504/IJICT.2026.151712

International Journal of Information and Communication Technology, 2026 Vol.27 No.11, pp.38 - 61

Received: 23 Sep 2025
Accepted: 02 Dec 2025
Published online: 16 Feb 2026 *

Title: Real-time AI-regulated animation-user interaction system in virtual reality environments

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