Ontology-Based Modeling of User-Environment Interaction in a Virtual Reality Exhibition

Virtual reality (VR) technology has transformed digital content experiences by providing immersive opportunities for users to explore virtual worlds. To accurately represent the intricate interactions between users and their virtual environments, it is crucial to effectively model objects, user and environment actions, as well as user interests and preferences. This paper proposes an ontology-based modeling approach for capturing user-environment interaction in a VR exhibition. By leveraging ontologies, which offer a formal representation of knowledge and define concepts, relationships, and rules within a domain, a structured framework can be established to capture the semantics of user behavior and environmental attributes. This approach presents several advantages, including standardized representation, interoperability, and compatibility across diverse platforms. Moreover, ontologies enable intelligent behavior modeling and adaptive interactions, enhancing semantic reasoning and inference capabilities. This paper delves into design principles, methodologies, and implementation considerations for developing ontologies that depict the dynamics of user behavior and environmental attributes. The research endeavors to contribute to the field of VR exhibition design, enabling personalized experiences for users.